absorb.md

What the smart people are recommending. 8874 books, tools, and products endorsed by the thinkers absorb.md tracks. Ranked by how many times each has been recommended across compiled podcasts, papers, posts, and tweets.

All📚 Books🛠 Tools📱 Apps💊 Supplements🎓 Courses🎬 Movies📺 Shows📦 Products🔧 Services📄 Papers👤 People🎟 Events💻 Repos✨ Skills
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🛠 Tools×1 mentions

Yolo26x Uk Mammal And Bird Detection Model

“We release the trained weights in ONNX format under a non-commercial licence, with local desktop and real-time camera support, aimed explicitly at ecologists with no machine-learning experience.”

paper: Open-Source YOLO-Based Camera Trap Model Achieves Near-Perfect Precision on 28 UK Mammal Species — 2026-06-10
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🛠 Tools×1 mentions

Andrej Karpathys Llm Deep Dive Video

by Andrej Karpathy

“there's an Incredible video that carpath just dropped that Andre just dropped where he does like this deep dive into llms and he explains chat GPT from the ground up it's on YouTube it's three hours i…”

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🛠 Tools×1 mentions

Embeddingbased Agreement Eba

“Through experiments on mathematical reasoning, code generation, and summarization, we show that agreement in representation space provides a robust and scalable signal of self-consistency for open-end…”

paper: Geometric Representation Space Analysis for Open-Ended Self-Consistency in LLMs — 2026-06-11
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🛠 Tools×1 mentions

Marbert

“Participating systems primarily fine-tuned Arabic and multilingual transformer-based models, including MARBERT, AraBERT, and DeBERTa-v3 variants, with several teams employing cross-validation, ensembl…”

paper: StanceNakba 2026: Transformer Models Excel in Conflict Discourse Stance Detection, but Cross-Topic Generalization Remains a Challenge — 2026-06-11
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🛠 Tools×1 mentions

Arabert

“Participating systems primarily fine-tuned Arabic and multilingual transformer-based models, including MARBERT, AraBERT, and DeBERTa-v3 variants, with several teams employing cross-validation, ensembl…”

paper: StanceNakba 2026: Transformer Models Excel in Conflict Discourse Stance Detection, but Cross-Topic Generalization Remains a Challenge — 2026-06-11
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🛠 Tools×1 mentions

Debertav3

“Participating systems primarily fine-tuned Arabic and multilingual transformer-based models, including MARBERT, AraBERT, and DeBERTa-v3 variants, with several teams employing cross-validation, ensembl…”

paper: StanceNakba 2026: Transformer Models Excel in Conflict Discourse Stance Detection, but Cross-Topic Generalization Remains a Challenge — 2026-06-11
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🛠 Tools×1 mentions

Dalai Lama Youtube Discussions

by Dalai Lama

“the dolly Lama has these great on his YouTube channel he's got these great like 2hour discussions you get about 20 30 minutes into that you will fall asleep”

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🛠 Tools×1 mentions

Grok Ai

by xAI

“what we're doing right now ladies and gentlemen is uh sexy voice sexy mode grock Ai”

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🛠 Tools×1 mentions

Megumi

“For timing detection, we propose MEGUMI, a Multilingual Emotion-aware Gated Unit for Mutual Integration, that fuses frozen XLM-RoBERTa semantics with language-specific emotion encoders via cross-modal…”

paper: Enhancing Dialogue Systems with Multilingual Emotional Validation: Datasets, Models, and LLM Evaluation — 2026-06-11
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🛠 Tools×1 mentions

Claude Sonnet 35 37

by Anthropic

“Claude is the best. I mean 3.7 is is really the best at doing agent stuff.”

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🛠 Tools×1 mentions

Gpt41 Nano

“Finally, our EmoValidBench benchmarks of GPT-4.1 Nano and Llama-3.1 8B indicate that current LLMs generate contextually similar and diverse validating responses, but emotional understanding remains a …”

paper: Enhancing Dialogue Systems with Multilingual Emotional Validation: Datasets, Models, and LLM Evaluation — 2026-06-11
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🛠 Tools×1 mentions

Llama31 8b

“Finally, our EmoValidBench benchmarks of GPT-4.1 Nano and Llama-3.1 8B indicate that current LLMs generate contextually similar and diverse validating responses, but emotional understanding remains a …”

paper: Enhancing Dialogue Systems with Multilingual Emotional Validation: Datasets, Models, and LLM Evaluation — 2026-06-11
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🛠 Tools×1 mentions

Anchored Privacy Drifting Apd

“To address this dilemma, we propose Anchored Privacy Drifting (APD), a training-free method that drifts privacy-sensitive elements toward semantically equivalent alternatives while anchoring contextua…”

paper: Adaptive Privacy Control for MLLMs Using Anchored Privacy Drifting and the AdaptShield Benchmark — by sam — 2026-06-09
Endorsed by sam
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🛠 Tools×1 mentions

Adaptshield

“To systematically evaluate this dual objective of privacy protection and contextual preservation, we introduce AdaptShield, a comprehensive benchmark covering 22 privacy categories, which combines con…”

paper: Adaptive Privacy Control for MLLMs Using Anchored Privacy Drifting and the AdaptShield Benchmark — by sam — 2026-06-09
Endorsed by sam
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🛠 Tools×1 mentions

3dino

“We present 3DINO, a cutting-edge SSL method adapted to 3D datasets, and use it to pretrain 3DINO-ViT: a general-purpose medical imaging model, on an exceptionally large, multimodal, and multi-organ da…”

paper: 3DINO: A Generalizable Self-Supervised Learning Framework and Foundation Model for 3D Medical Imaging — by Chris Anderson — 2026-06-09
Endorsed by Chris Anderson
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🛠 Tools×1 mentions

Claude 37 Sonnet

by Anthropic

“we've been working on this model for a while...we train Claud 3.7 you know more to focus on these real world tasks”

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🛠 Tools×1 mentions

3dinovit

“We present 3DINO, a cutting-edge SSL method adapted to 3D datasets, and use it to pretrain 3DINO-ViT: a general-purpose medical imaging model, on an exceptionally large, multimodal, and multi-organ da…”

paper: 3DINO: A Generalizable Self-Supervised Learning Framework and Foundation Model for 3D Medical Imaging — by Chris Anderson — 2026-06-09
Endorsed by Chris Anderson
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🛠 Tools×1 mentions

Calipper

“Here we present CaliPPer (Calibration and Prediction of Performance), a post-hoc framework pairing a multi-chain Sample-to-Domain Distance (S2DD) with distance-aware Bayesian recalibration, operating …”

paper: CaliPPer: A Framework for Quantifying and Improving AI Binding Prediction Performance — by sam — 2026-06-09
Endorsed by sam
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🛠 Tools×1 mentions

Pape

“Density-ratio methods (PAPE, M-CBPE) provide label-free performance estimation for binary classification, but their assumptions and aggregate-only outputs limit binding prediction on neoepitopes, anti…”

paper: CaliPPer: A Framework for Quantifying and Improving AI Binding Prediction Performance — by sam — 2026-06-09
Endorsed by sam
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🛠 Tools×1 mentions

Mcbpe

“Density-ratio methods (PAPE, M-CBPE) provide label-free performance estimation for binary classification, but their assumptions and aggregate-only outputs limit binding prediction on neoepitopes, anti…”

paper: CaliPPer: A Framework for Quantifying and Improving AI Binding Prediction Performance — by sam — 2026-06-09
Endorsed by sam
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🛠 Tools×1 mentions

Simplified Rigidbeam Model

“A simplified rigid-beam model qualitatively captures the crossover behavior.”

paper: Elastoinertial Effects Govern Dynamic Nonlinearity in Soft Hair Beds — by Eric — 2026-06-09
Endorsed by Eric
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🛠 Tools×1 mentions

Disco

“Beyond accuracy, human-annotated analyses show that DiScO substantially improves the model's ability to recover from erroneous initial attempts.”

paper: Diverse Thinking Schemata Enhance LLM Reasoning and Robustness — by Yu Bai — 2026-06-09
Endorsed by Yu Bai
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🛠 Tools×1 mentions

Lius

“Experimental results demonstrate that our model, named Lius, yields notable improvements over standard instruction-tuned models by outperforming 4-6 points, and surpassing both Neural Machine Translat…”

paper: Lius: Continual Instruction Tuning for Enhanced Low-Resource Language Translation — 2026-06-11
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🛠 Tools×1 mentions

X Twitter Ai Lists By Robert Scoble

by Robert Scoble

“I'm on X I'm always on X I'm following 26,000 people in the AI Community I've built a bunch of list of 26,000 people and 6,000 companies on X so you can watch my list and join in the fun”

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🛠 Tools×1 mentions

Xpro Tweetdeck Alternative For X

“I use XPro so I can see uh I don't know 10 different lists on my screen at one time and so I can watch literally the world is just going by”

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🛠 Tools×1 mentions

Autopilot

“we present AutoPilot, a reinforcement learning-based framework that continuously monitors runtime conditions and dynamically adjusts protocol parameters online to optimize consensus performance.”

paper: RL-Driven Dynamic Parameter Tuning for High-Speed BFT Consensus — by Eric — 2026-06-09
Endorsed by Eric
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🛠 Tools×1 mentions

Autobahn

“We implement AutoPilot on top of Autobahn, a state-of-the-art, highspeed, robust BFT protocol, and evaluate it across diverse dynamic environments.”

paper: RL-Driven Dynamic Parameter Tuning for High-Speed BFT Consensus — by Eric — 2026-06-09
Endorsed by Eric
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🛠 Tools×1 mentions

Scpi Classifier

“As a result, our SCPI classifier can effectively identify information related to SCPI.”

paper: Pioneering SCPI detection in Japanese LLM corpora — 2026-06-11
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🛠 Tools×1 mentions

Anthropic Economic Index

by Anthropic

“We released this thing called the Anthropic Economic Index that, in a privacy-preserving way, looks through, you know, and summarizes our usage to understand, you know, in what fields are people using…”

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🛠 Tools×1 mentions

Iare

“The results demonstrate that IARE achieves state-of-the-art performance while also generating accurate rationales.”

paper: Explainable Hateful Video Detection via Multimodal Reasoning Enhancement — 2026-06-11
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🛠 Tools×1 mentions

Structured Semantic Library

“MAVIS first bridges the granularity mismatch by parsing raw videos into a \textbf{Structured Semantic Library}, enabling explicit attribute-level indexing.”

paper: MAVIS: Multi-Agent Framework Revolutionizes Video Retrieval with Cooperative Reasoning and Structured Understanding — by Karen Hao — 2026-06-09
Endorsed by Karen Hao
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🛠 Tools×1 mentions

Logicaware Debate

“Crucially, MAVIS employs a \textbf{Logic-aware Debate} mechanism with a strict veto protocol, where agents collaboratively prune logical mismatches to identify a compact set of ``controversial'' candi…”

paper: MAVIS: Multi-Agent Framework Revolutionizes Video Retrieval with Cooperative Reasoning and Structured Understanding — by Karen Hao — 2026-06-09
Endorsed by Karen Hao
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🛠 Tools×1 mentions

Mafs

“A framework, MAFS, is introduced that provides an approximate description of the hierarchies of quark and lepton masses and mixing angles in terms of a set of small parameters, $ε_a$, one for each fer…”

paper: MAFS: A Parameter-Economical Alternative to Froggatt-Nielsen for Fermion Mass Hierarchies — by Cate Hall — 2026-06-09
Endorsed by Cate Hall
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🛠 Tools×1 mentions

Langgraph Functional Api

by LangChain

“Introducing the LangGraph Functional API”

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🛠 Tools×1 mentions

Distractoraware Architecture

by null

“Compared to a simpler model that only used the question stem and the key, our best distractor-aware architecture achieved higher predictive performance”

paper: Structure-Aware Distractor Modeling Drives MCQ Difficulty Estimation Gains — by gabriel — 2026-06-09
Endorsed by gabriel
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🛠 Tools×1 mentions

Orderinvariant Variant

by null

“An order-invariant variant achieved nearly the same accuracy with approximately half as many parameters, offering a favorable accuracy-efficiency trade-off”

paper: Structure-Aware Distractor Modeling Drives MCQ Difficulty Estimation Gains — by gabriel — 2026-06-09
Endorsed by gabriel
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🛠 Tools×1 mentions

Semdino

“we propose a novel end-to-end semantic change detection network named SemDINO”

paper: SemDINO: A DINOv3-Enhanced Network for Robust Cross-Temporal Semantic Change Detection — by jasmine sun — 2026-06-09
Endorsed by jasmine sun
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🛠 Tools×1 mentions

Shallowbench

“ShallowBench therefore provides a rigorous benchmark for generative biology models and highlights the necessity of new architectural innovations or loss functions capable of navigating these challengi…”

paper: ShallowBench: A New Benchmark Revealing Generative Drug Design Weaknesses on Shallow Protein Pockets — by Bindu Reddy — 2026-06-09
Endorsed by Bindu Reddy
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🛠 Tools×1 mentions

Amd Vitis Hls

“We evaluate the proposed flow using a Tensor Slice-based FPGA architecture with AMD Vitis HLS and the Verilog-to-Routing (VTR) toolchain.”

paper: HLS-based FPGA Hardblock Programming via RTL Blackbox Abstraction — by Bindu Reddy — 2026-06-09
Endorsed by Bindu Reddy
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🛠 Tools×1 mentions

Verilogtorouting Vtr Toolchain

“We evaluate the proposed flow using a Tensor Slice-based FPGA architecture with AMD Vitis HLS and the Verilog-to-Routing (VTR) toolchain.”

paper: HLS-based FPGA Hardblock Programming via RTL Blackbox Abstraction — by Bindu Reddy — 2026-06-09
Endorsed by Bindu Reddy
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🛠 Tools×1 mentions

Piecewiselinear Karushkuhntucker Hardconstrained Pinns

“We propose a framework, called piecewise-linear Karush--Kuhn--Tucker hard-constrained PINNs (PL-KKT-hPINNs), that strictly enforces nonlinear equality constraints through piecewise-linear projection.”

paper: Piecewise-Linear Projection Enforces Hard Nonlinear Equality Constraints in PINNs — 2026-06-10
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🛠 Tools×1 mentions

Kkthpinn Framewor

“This extends the KKT-hPINN framewor, which exactly enforces linear equalities through the Karush--Kuhn--Tucker (KKT) conditions associated with orthogonally projecting neural network outputs onto the …”

paper: Piecewise-Linear Projection Enforces Hard Nonlinear Equality Constraints in PINNs — 2026-06-10
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🛠 Tools×1 mentions

Claude Opus 46

“We observe that the strongest agents, Claude Opus 4.6 and GPT-5.4 xhigh, often avoid writing the target language directly.”

paper: Metaprogramming Enables Coding Agents to Adapt to Unfamiliar Programming Languages — 2026-06-10
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🛠 Tools×1 mentions

Gpt54 Xhigh

“We observe that the strongest agents, Claude Opus 4.6 and GPT-5.4 xhigh, often avoid writing the target language directly.”

paper: Metaprogramming Enables Coding Agents to Adapt to Unfamiliar Programming Languages — 2026-06-10
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🛠 Tools×1 mentions

Sonnet 46

“In contrast, Opus-derived Python helper code for building generators, with no solved benchmark programs or hidden-test answers, sharply improves Sonnet 4.6 and GPT-5.4 mini on the same problems, while…”

paper: Metaprogramming Enables Coding Agents to Adapt to Unfamiliar Programming Languages — 2026-06-10
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🛠 Tools×1 mentions

Haiku 45

“In contrast, Opus-derived Python helper code for building generators, with no solved benchmark programs or hidden-test answers, sharply improves Sonnet 4.6 and GPT-5.4 mini on the same problems, while…”

paper: Metaprogramming Enables Coding Agents to Adapt to Unfamiliar Programming Languages — 2026-06-10
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🛠 Tools×1 mentions

Moonshine

“This article uses Moonshine's exploration of the Jacobian conjecture as an example.”

paper: Autonomous Agent Moonshine Generates Neural Jacobian Conjecture and Achieves Partial Proofs — 2026-06-10
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🛠 Tools×1 mentions

Gpt55pro

“By invoking GPT-5.5-pro and DeepSeek-V4-pro separately, Moonshine obtained independent complete proofs for the case \(N=n+1\).”

paper: Autonomous Agent Moonshine Generates Neural Jacobian Conjecture and Achieves Partial Proofs — 2026-06-10
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🛠 Tools×1 mentions

Deepseekv4pro

“By invoking GPT-5.5-pro and DeepSeek-V4-pro separately, Moonshine obtained independent complete proofs for the case \(N=n+1\).”

paper: Autonomous Agent Moonshine Generates Neural Jacobian Conjecture and Achieves Partial Proofs — 2026-06-10
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🛠 Tools×1 mentions

Earthonevision

“This work presents Earth-OneVision, a 2B RS-MLLM that unifies six sensor modalities (i.e., optical, SAR, infrared, multispectral, temporal, and video) and cross-sensor fusion across 9 task categories …”

paper: Earth-OneVision: A Unified 2B Parameter RS-MLLM Excelling Across Diverse Sensor Modalities and Tasks — 2026-06-10
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🛠 Tools×1 mentions

Mmrsonevision

“To support joint training, MMRS-OneVision is constructed with ~34M QA pairs spanning all six sensor modalities and cross-sensor fusion across 9 task categories, substantially exceeding existing RS mul…”

paper: Earth-OneVision: A Unified 2B Parameter RS-MLLM Excelling Across Diverse Sensor Modalities and Tasks — 2026-06-10
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🛠 Tools×1 mentions

Adas

“We propose ADAS, a training-free reranking rule for parallel masked diffusion decoding.”

paper: Soft Attention Discounting Enables Safer Parallel Decoding in Masked Diffusion LMs — 2026-06-10
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🛠 Tools×1 mentions

Open Source Quantum Computing Packages

“there's so many open source packages go start programming quantum computer go start learning and ultimately just do research and you'll quickly get into the field”

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🛠 Tools×1 mentions

Logneo

“We present LogNEO, a log anomaly detector built on EleutherAI's GPT-Neo (1.3B parameters) and fine-tuned with a novel partial-credit, exponentially decaying position-aware reward scheme combined with …”

paper: LogNEO: GPT-Neo Framework for High-Performance Log Anomaly Detection with Novel Reward Scheme — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Gptneo

by EleutherAI

“built on EleutherAI's GPT-Neo (1.3B parameters)”

paper: LogNEO: GPT-Neo Framework for High-Performance Log Anomaly Detection with Novel Reward Scheme — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Apache Kafka

“A production microservice deployment over Apache Kafka, Redis, and TensorRT-accelerated inference demonstrates 45 ms end-to-end latency at 15,000 events per second.”

paper: LogNEO: GPT-Neo Framework for High-Performance Log Anomaly Detection with Novel Reward Scheme — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Redis

“A production microservice deployment over Apache Kafka, Redis, and TensorRT-accelerated inference demonstrates 45 ms end-to-end latency at 15,000 events per second.”

paper: LogNEO: GPT-Neo Framework for High-Performance Log Anomaly Detection with Novel Reward Scheme — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Tensorrt

“A production microservice deployment over Apache Kafka, Redis, and TensorRT-accelerated inference demonstrates 45 ms end-to-end latency at 15,000 events per second.”

paper: LogNEO: GPT-Neo Framework for High-Performance Log Anomaly Detection with Novel Reward Scheme — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Mcp

“As the Model Context Protocol (MCP) standardizes tool-calling for autonomous agents, it introduces a critical, unexamined attack surface: the error-handling loop.”

paper: Error-Path Injection: Exploiting Tool Error Messages to Bypass LLM Safety Heuristics — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Glm51

“Our evaluation across four frontier models, Gemini 3.1 Pro, GPT-5.5, GLM-5.1, and Qwen3-Coder, demonstrates that error-path injection triples the success rate of standard indirect prompt injection (IP…”

paper: Error-Path Injection: Exploiting Tool Error Messages to Bypass LLM Safety Heuristics — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Qwen3coder

“Our evaluation across four frontier models, Gemini 3.1 Pro, GPT-5.5, GLM-5.1, and Qwen3-Coder, demonstrates that error-path injection triples the success rate of standard indirect prompt injection (IP…”

paper: Error-Path Injection: Exploiting Tool Error Messages to Bypass LLM Safety Heuristics — by Dwarkesh Patel — 2026-06-09
Endorsed by Dwarkesh Patel
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🛠 Tools×1 mentions

Policy Optimization For Ao Po4ao

“When properly implemented and optimized, PO4AO constitutes a robust and high-performance turnkey controller for single-conjugate adaptive optics systems,...”

paper: On-Sky Validation of Reinforcement Learning for Adaptive Optics Control — 2026-06-10
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🛠 Tools×1 mentions

Nnunet

“The nnU-Net has demonstrated continuous success in medical segmentation tasks”

paper: ++nnU-Net: Enhancing Medical Image Segmentation via Registration-Based Data Augmentation — 2026-06-10
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🛠 Tools×1 mentions

Langmem

by LangChain

“in this course we'll be using a package called langme um which contains a bunch of utilities... it contains utilities for when it's updating to semantic memory”

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🛠 Tools×1 mentions

Citrasfm

“we propose CITRAS-FM, a tiny 7M-parameter TSFM that supports univariate, multivariate, and covariate-informed zero-shot forecasting with real-time CPU inference.”

paper: CITRAS-FM: A Tiny, Covariate-Aware Foundation Model for Real-Time Zero-Shot Time Series Forecasting — 2026-06-10
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🛠 Tools×1 mentions

Covsynth

“we propose CovSynth, which synthesizes realistic covariates from decomposed components of target series.”

paper: CITRAS-FM: A Tiny, Covariate-Aware Foundation Model for Real-Time Zero-Shot Time Series Forecasting — 2026-06-10
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🛠 Tools×1 mentions

Trustcall

by LangChain

“one of the things that we actually use is we use this thing called trust call. Um this thing called trust call basically applies large JSON schema updates to things.”

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Deep Reinforcement Learning Framework

“We propose a deep reinforcement learning framework for multi-objective policy optimization at this scale.”

paper: Event-Driven Reinforcement Learning for Optimized Semiconductor Fabrication Control — 2026-06-10
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🛠 Tools×1 mentions

Mist

“Introducing MIST: a benchmark of synthetically generated multi-turn conversations where users express plausible misconceptions in scientific, medical, and moral reasoning domains.”

paper: Memory Systems Amplify LLM Sycophancy by Prioritizing Agreement Over Accuracy — 2026-06-10
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🛠 Tools×1 mentions

Dac

“We propose DAC (Divide and Cooperate), a role-decomposed multi-agent training framework that divides agentic search into two cooperative subtasks, each handled by a dedicated agent trained with role-s…”

paper: Divide and Cooperate: Role-Decomposed Multi-Agent LLM Training for Enhanced Question Answering — 2026-06-10
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🛠 Tools×1 mentions

Openai Deep Research

by OpenAI

“use replet agent even I would say openi deep research will give you an idea of like you know where these tools are coming going”

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Llmpowered Chatbots

“LLM-powered chatbots are increasingly embedded in everyday workflows, raising sustainability concerns due to their energy use.”

paper: UI Interventions Can Guide LLM Chatbot Users Towards Energy-Efficient Interactions — 2026-06-10
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🛠 Tools×1 mentions

Gemini Flash

by Google

“I started like playing around with Gemini from Google I would say Gemini Flash is incredibly impressive Really large context window”

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Webbased Chatbot Prototype

“We then evaluated the prototype in a five-day field study with 11 participants.”

paper: UI Interventions Can Guide LLM Chatbot Users Towards Energy-Efficient Interactions — 2026-06-10
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🛠 Tools×1 mentions

Covan

“We present a lightweight, generative approach to provenance tracking based on observational semantics. Instead of propagating identifiers through compiler passes, we observe graph transformations and …”

paper: Coalgebraic Provenance Tracking for AI Compilers Maintaining Integrity Through Observational Semantics — 2026-06-10
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🛠 Tools×1 mentions

Fco

“Foreground Conditioned Outpainting (FCO) meets this demand, allowing users to create desired backgrounds for foreground instances at a low cost by adjusting the text prompt.”

paper: Bridging Text-Instance Semantics in FCO with Customized Concept Embeddings — 2026-06-10
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Gravityweighted Dpo Gwdpo

“We then introduce Gravity-Weighted DPO (GW-DPO), a preference-optimization objective whose per-sample offset scales with the structural distance between conflicting levels under a linear or bilateral …”

paper: Gravity-Weighted DPO: Enforcing Multi-Level Instruction Hierarchies in LLMs — 2026-06-10
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Instructional Segment Embeddings Ise

“Combined with hierarchy-specific delimiter tokens (Chen et al., 2025) and Instructional Segment Embeddings (ISE; Wu et al., 2025), GW-DPO with the bilateral schedule Pareto-improves over standard DPO …”

paper: Gravity-Weighted DPO: Enforcing Multi-Level Instruction Hierarchies in LLMs — 2026-06-10
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🛠 Tools×1 mentions

Composio

“There's a bunch of websites there's composio um a lot of startups I think another one called uh tool MCP tools or something like that Smither AI and other ones provide you model context protocols”

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🛠 Tools×1 mentions

Claude Sonnet 37

by Anthropic

“sonnet 3.7 claw sonnet 3.7 you know everyone who's using cursor whatever thinks it's bad... what I saw in that is an AI that can step back and think... I think what anthropic did is they gave it agenc…”

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🛠 Tools×1 mentions

Leiden Algorithm

“We revisit graph-based clustering as a bottom-up alternative, where segment embeddings are connected by pairwise similarity and partitioned using the Leiden algorithm.”

paper: Graph Clustering Outperforms Center-Based Methods in Unsupervised Term Discovery to Yield Zipfian Distributions — 2026-06-10
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Agglomerative Clustering With Average Linkage

“Another bottom-up approach, agglomerative clustering with average linkage, also performs well, although it is computationally less efficient and allows for less control over the resulting distribution…”

paper: Graph Clustering Outperforms Center-Based Methods in Unsupervised Term Discovery to Yield Zipfian Distributions — 2026-06-10
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🛠 Tools×1 mentions

Convmemory V2

“We describe ConvMemory v2, an opt-in token-evidence reranker that sits after the lightweight ConvMemory v1 reranker and reorders only v1's protected top-10 candidate set.”

paper: ConvMemory v2: A Recall-Preserving Reranker Significantly Improving Conversational Memory Retrieval Performance — 2026-06-10
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Convmemory V1

“We describe ConvMemory v2, an opt-in token-evidence reranker that sits after the lightweight ConvMemory v1 reranker and reorders only v1's protected top-10 candidate set.”

paper: ConvMemory v2: A Recall-Preserving Reranker Significantly Improving Conversational Memory Retrieval Performance — 2026-06-10
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🛠 Tools×1 mentions

Msmarcominilml6v2

“v2 is a fine-tuned ms-marco-MiniLM-L-6-v2 cross-encoder (22,713,601 parameters, measured from the released checkpoint) applied to the ten (query, memory) pairs that v1 has already selected; it does no…”

paper: ConvMemory v2: A Recall-Preserving Reranker Significantly Improving Conversational Memory Retrieval Performance — 2026-06-10
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🛠 Tools×1 mentions

Mxbaireranklargev1

“On the LoCoMo conversational memory benchmark (5 seeds, n = 4955 test rows), v2 raises FULL MRR from v1's 0.5824 to 0.6560 (paired bootstrap +0.0734, 95% CI [+0.0645, +0.0827]) and H@1 from 0.4440 to …”

paper: ConvMemory v2: A Recall-Preserving Reranker Significantly Improving Conversational Memory Retrieval Performance — 2026-06-10
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🛠 Tools×1 mentions

Doctrace

“To address these limitations, we propose DocTrace, a multi-agent RAG framework for long-document QA that supports query-triggered knowledge organization, document-structure-aware and experience-guided…”

paper: DocTrace: Structure-Aware, Experience-Guided RAG for Efficient Long-Document QA — 2026-06-10
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🛠 Tools×1 mentions

Kate

“Based on these insights, we propose the Knowledge-Augmented Tool Execution (KATE), a knowledge-augmented tool execution framework that integrates experiential knowledge with reasoning-width-expanded i…”

paper: KATE Framework Enhances LLM Tool Use Through Experiential Knowledge Integration and Optimized Activation Strategies — 2026-06-10
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🛠 Tools×1 mentions

Autopde

“we propose AutoPDE, a code agent that maintains the solver strategy as an explicitly represented object throughout the solving process”

paper: AutoPDE: Explicitly Representing Solver Strategies for Reliable Agentic PDE Solving — 2026-06-10
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🛠 Tools×1 mentions

Rome

“Specifically, experiments with popular methods like ROME and FT reveal a substantial performance gap, up to 24%, between evaluations on directly edited knowledge and on entailed knowledge.”

paper: New Benchmark Reveals LLMs' Difficulty in Handling Logical Consequences of Knowledge Edits — 2026-06-10
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🛠 Tools×1 mentions

Ft

“Specifically, experiments with popular methods like ROME and FT reveal a substantial performance gap, up to 24%, between evaluations on directly edited knowledge and on entailed knowledge.”

paper: New Benchmark Reveals LLMs' Difficulty in Handling Logical Consequences of Knowledge Edits — 2026-06-10
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🛠 Tools×1 mentions

Slide

“If who have you have heard about slide the presentation framework um no one you should check it out it's cool.”

youtube: Generative UI Spectrum: From Controlled Components to Open-Ended Agents Reshaping All Software Interfaces — by LangChain — 2026-04-12
Endorsed by LangChain
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🛠 Tools×1 mentions

Causal Ensemble Agent Cea

“we propose Causal Ensemble Agent (CEA), a novel framework that aggregates structural insights from statistical discovery experts across different graph levels via linear opinion pooling, and uses an L…”

paper: Causal Ensemble Agent: LLM-guided Meta-Analysis for Enhanced Causal Discovery — 2026-06-10
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🛠 Tools×1 mentions

Flowtracer

“We propose FlowTracer, an RL framework that traces answer-targeted reasoning flow on an attention-induced directed acyclic graph”

paper: FlowTracer: Graph-Based Token-Level Credit Assignment via Attention-Induced Information Flow for Targeted RL in LLMs — 2026-06-10
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🛠 Tools×1 mentions

Unidextok

“In this work, we propose the Unified Dexterous Hand Model (UDHM), which maps human and robot hand states into a shared 22-DoF semantic interface.”

paper: UniDexTok Achieves Sub-Millimeter Cross-Embodiment Dexterous Hand Tokenization from Real Data — 2026-06-10
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🛠 Tools×1 mentions

Unified Dexterous Hand Model

“In this work, we propose the Unified Dexterous Hand Model (UDHM), which maps human and robot hand states into a shared 22-DoF semantic interface.”

paper: UniDexTok Achieves Sub-Millimeter Cross-Embodiment Dexterous Hand Tokenization from Real Data — 2026-06-10
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🛠 Tools×1 mentions

Paraeval

“Ultimately, ParaEval provides a robust and efficient way to evaluate true underlying capability rather than surface-form familiarity.”

paper: ParaEval: Improving LLM Evaluation by Disambiguating Knowledge from Phrasing — 2026-06-10
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🛠 Tools×1 mentions

Spensegpt

“We propose Spense, a practical hybrid sparse-dense format that splits each weight matrix into a 2:4 sparse region and a dense region. This design relaxes the effective sparsity constraint while remain…”

paper: SpenseGPT: Hybrid Sparse-Dense Format for Efficient LLM Inference Speedup — 2026-06-10
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🛠 Tools×1 mentions

Spense

“We propose Spense, a practical hybrid sparse-dense format that splits each weight matrix into a 2:4 sparse region and a dense region.”

paper: SpenseGPT: Hybrid Sparse-Dense Format for Efficient LLM Inference Speedup — 2026-06-10
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🛠 Tools×1 mentions

Prefillingdllm

“We propose Prefilling-dLLM, a training-free prefill-decode disaggregation framework for dLLMs that partitions the prefix into N chunks, caches their KV representations once, and selects the top-K most…”

paper: Prefilling-dLLM: Efficient Long-Context Inference via Predictive Prefilling and KV Caching — 2026-06-10
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