π PapersΓ1 mentions
Viasd
βProject page: https://zju-xyc.github.io/VIA-SD-Project-Page/β
paper: VIA-SD: A Multi-Tiered Approach to Speculative Decoding for Efficient LLM Inference β 2026-06-11
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.
βProject page: https://zju-xyc.github.io/VIA-SD-Project-Page/β
βCompared with the PhysFormer baseline evaluated on our dataset, our estimator reduces HR MAE by 93.6 %, while increasing HR correlation from 0.088 to 0.982, making it usable when illumination varies.β
βExperimental results on the CCL25-Eval Task 5 benchmark demonstrate that PoetryQwen achieves a score of 0.757, representing a 9.7% improvement over the Qwen2.5-14B-Instruct baseline (0.690).β
βExperimental results on the CCL25-Eval Task 5 benchmark demonstrate that PoetryQwen achieves a score of 0.757, representing a 9.7% improvement over the Qwen2.5-14B-Instruct baseline (0.690). These finβ¦β
βGeospatial foundation model (GFM), Prithvi-EO has shown strong transferability across computer vision tasks.β
βWe evaluate a fallow detection pipeline combining two parameter-efficient fine tuning (PEFT) schemes: Low-Rank Adaptation (LoRA) and a hybrid PEFT, with three neck designs: pseudo multi-scale, Lite Viβ¦β
βWe propose UR-BERT, a Romanized transcription-based text-to-speech (TTS) encoder for massively multilingual TTS systems.β
βUnlike static datasets, embodied benchmarks combine task specifications, environments, robot data, demonstrations, annotations, metrics, evaluation scripts, and release policies into a single evaluatiβ¦β
βIn this paper, we propose AGRA, an Action-Grounded Representation Alignment objective that regularizes the world-action interface by aligning intermediate video diffusion features with spatially coherβ¦β
βThe closely related Clifford+T fragment is approximately universal (arXiv:1705.11151).β
βComparing per-user gamma-LoRA (a small LoRA adapter trained on each user's history; gamma denotes per-user, not per-task) against BGE-large dense top-K retrieval on a controlled 50-user synthetic corpβ¦β
βComparing per-user gamma-LoRA (a small LoRA adapter trained on each user's history; gamma denotes per-user, not per-task) against BGE-large dense top-K retrieval on a controlled 50-user synthetic corpβ¦β
βOn the more heavily RLHF-tuned Llama-3.1-8B-Instruct the asymmetry strengthens, not heals: parametric memory's behavioral advantage collapses while its absence-calibration deficit against retrieval wiβ¦β
βFinally, substrate-selection routing is question-classification, not calibration: a 110M DistilBERT on the question text alone beats every logit-based router.β
βKeep the spotlight on your yard with Stay Green Premium 2-Cubic Foot Mulch, 5 bags for $10.β
βSwitch today at QuantumFiber.com.β
βThat's where the agency AGnttcy comes in.β
βWe then train a Gradient Boosting Decision Trees (GBDT) classifier on these features to predict whether an intervention will under-steer, succeed, or over-steer without requiring full rollout.β
βIn this paper, we propose SpikeDecoder, a fully SNN-based implementation of the Transformer decoder block, for applications in natural language processing.β
βTo address this issue, we consider Spiking Neural Networks (SNNs), which are an energy-efficient alternative to conventional Artificial Neural Networks (ANNs) due to their naturally event-driven approβ¦β
βwe fine-tune and compare pretrained self-supervised speech models (Wav2Vec2 and HuBERT) on data from two click-rich Khoisan languages (G|ui and West !Xoon)β
βwe fine-tune and compare pretrained self-supervised speech models (Wav2Vec2 and HuBERT) on data from two click-rich Khoisan languages (G|ui and West !Xoon)β
βBuilding on prior work showing an individual's within-document highlighting signal is a whisper while individuality lives in selection, we ask the group-level question on a co-readership platform usinβ¦β
βAdditionally, the stabilizer calculus can be described by a small collection of rewrites, most of which have been shown to be necessary (arXiv:1709.08903).β
βWe present a countermodel-style argument showing that both of these rules are individually necessary relative to the connectivity meta-rule of Backens--Perdrix--Wang (arXiv:1709.08903), and hence estaβ¦β
βmaking a compelling case for quantum algorithmsβ
βwhose relevance is on the rise as utility-scale problems begin to get solved with quantum computersβ
βwe propose Doc-to-Atom (Doc2Atom), a compositional parametric memory framework that decomposes each document into semantically typed knowledge atoms.β
βIn this study, we evaluate the performance of two state-of-the-art open-source ASR systems, WhisperIPA and ZIPA, that generate IPA transcriptions across diverse accents and language sources.β
βIn this study, we evaluate the performance of two state-of-the-art open-source ASR systems, WhisperIPA and ZIPA, that generate IPA transcriptions across diverse accents and language sources.β
βWe then compare full-format training with FormatMix, which expands only a subset of training items into multiple equivalent formats using either random or targeted selection.β
βWe introduce ModSleuth, an agentic system that recursively reconstructs LLM dependency graphs from public artifacts with source-grounded evidence.β
βSingle-wall carbon nanotubes (SWCNTs) are narrow ribbons of graphene with atomically precise edges and a single quantum transport channel, at experimentally-relevant dopings.β
βWe present QTS data from three single-wall carbon nanotube quantum dot (SWCNT-QD) transistors over a broad range of in-situ tunable and reversible uniaxial strain ($Ξ\varepsilon_\text{mech}\approx$ 0 β¦β
βSpeculative decoding addresses this bottleneck by employing a lightweight draft model to propose multiple future tokens that are subsequently verified in parallel by a larger target model.β
βwe introduce an expanded and more challenging benchmark based on Polish medical exams, adding over 15,000 questions, two new domains, and four structural modificationsβ
βTo facilitate further research, we make our benchmark publicly available.β
βCHAIR not only offers a practical solution for detecting hallucinations but also lays the groundwork for exploring richer representations in LLMs to improve their factuality and coherence.β
βWe have released our code at https://github.com/bebr2/SKIM .β
βTo make low frame rates feasible, we introduce factorized FSQ and a lightweight non-autoregressive audio LM head, scaling capacity to nearly 300 bits/frame without sacrificing efficient prediction.β
βTo make low frame rates feasible, we introduce factorized FSQ and a lightweight non-autoregressive audio LM head, scaling capacity to nearly 300 bits/frame without sacrificing efficient prediction.β
βThis work presents FE-MAD (Finite Element-Based Material learning via Automatic Differentiation), an end-to-end differentiable framework that integrates a constitutive neural network model within a JAβ¦β
βThis work presents FE-MAD (Finite Element-Based Material learning via Automatic Differentiation), an end-to-end differentiable framework that integrates a constitutive neural network model within a JAβ¦β
βThis work presents FE-MAD (Finite Element-Based Material learning via Automatic Differentiation), an end-to-end differentiable framework that integrates a constitutive neural network model within a JAβ¦β
βFE-MAD is demonstrated for two architectures: a grey-box Constitutive Artificial Neural Network (CANN), a polyconvex, fully connected model with high flexibility, and a white-box CANN, an expert-systeβ¦β
βFE-MAD is demonstrated for two architectures: a grey-box Constitutive Artificial Neural Network (CANN), a polyconvex, fully connected model with high flexibility, and a white-box CANN, an expert-systeβ¦β
βFE-MAD is demonstrated for two architectures: a grey-box Constitutive Artificial Neural Network (CANN), a polyconvex, fully connected model with high flexibility, and a white-box CANN, an expert-systeβ¦β
βWe propose annotation guidelines anchored in Walton's argumentation schemes, offering a structured and constrained approachβ
βCode: https://github.com/alimert05/zero-shot-stock-xaiβ
βGTR is architecture-agnostic and achieves strong performance across games, simulated robotic control, open-world exploration, and language model post-training.β
βIn this work, we introduce a novel approach, called Program-based Posterior Training (PPT), to address these limitationsβ
βIn this paper, the Semantic Token Codebook Communication (STCC) is proposed as a unified source-channel semantic token coding framework designed to transmit the discrete semantic tokens of foundation β¦β
βThe core of STCC is the Semantic Token Codec (STC). It accepts discrete tokens as input, which maintains compatibility with foundation models while employing a residual multiple layer perceptron, i.e.β¦β
βTo address this gap, we introduce CORE-Bench, a comprehensive benchmark for code retrieval in the era of agentic coding.β
βI think a lot of people are reading that that poem rather Robert Frost poem right now the only way through is basically through itβ
βBergson is an open source library that aims to enable faster progress in the field by providing a host of techniques that scale to very large language models and pre-training datasets.β
βI feel like Iβm watching Pantheon.β
βThe comparison supports $Ο$B97X-D3/aug-cc-pVTZ geometry optimisation followed by aug-cc-pVQZ target-property calculations as a practical protocol for R-matrix modelling of NO.β
βThe comparison supports $Ο$B97X-D3/aug-cc-pVTZ geometry optimisation followed by aug-cc-pVQZ target-property calculations as a practical protocol for R-matrix modelling of NO.β
βHowever, accurate estimates of these timescales from spacecraft observations heavily rely on the accurate estimation of autocorrelation functions (ACF), which have been recently shown to depend strongβ¦β
βWe introduce a new ergodicity-based methodology to unambiguously estimate the integral timescale, and a new ACF estimator with better ergodic convergence than current ones.β
βWe present World Pilot, a VLA framework that augments the policy with priors from a World-Action Model (WAM)β
βAs part of their work, Abridg will use de-identified clinical data to further train and customize NVIDIA's Nemotron suite of open models.β
βVisit Veeam.com. To learn more about how trusted data can power AI at scale.β
βWe introduce StereoPolicy, a visuomotor policy learning framework that directly leverages synchronized stereo image pairs to improve geometric reasoning without constructing explicit 3D representationβ¦β
βBlackRock put in an order to buy at least $5 billion worth of SpaceX shares.β
βTo hear more about SpaceX's IPO, tune into tomorrow's Tech News Briefing podcast.β
βVisit Veeam.com to learn more about how trusted data can power AI at scale.β
βWell, to discuss all that, I'm joined by Paul Henninger, who's UK head of technology. and data and global AI leader at KPMG and Professor Alan Brown from the University of Exeter Business School, who'β¦β
βWe present Open-TQ-Metal, the first implementation of fused compressed-domain attention on Apple Siliconβ
βCheckpoints and datasets are available at https://huggingface.co/collections/NebulaPixel/summorchestra-multirole-summary.β
βThe system is open-source under the MIT license.β
βWe introduce StereoPolicy, a visuomotor policy learning framework that directly leverages synchronized stereo image pairs to improve geometric reasoning without constructing explicit 3D representationβ¦β
βWe recommend that precision-weighted bias be used as a standard complement to unweighted unconditional and conditional bias in simulation studiesβ
βAlthough our framework is broadly applicable, we demonstrate specifically in the example of reconstruction of attosecond beating by interference of two-photon transitions (RABBIT) the influence of theβ¦β
βWe therefore propose an identity-slot aligned framework, ISAP-3D, which anchors each part with semantic identity tokens and performs identity-conditioned one-to-one layout prediction, followed by layoβ¦β
βFormer presidential candidate El Gore presents the documentary An Inconvenient Truth.β
βThe partial MAES for the clinical scenario simulator is open sourced here.β
βIn March 2023, the New York Times published an op-ed by Noam Chonssky, one of the most prominent intellectuals alive, a hero of my political tradition, a man whose book shaped me. The piece was calledβ¦β
βIn 2021, the linguist Emily Bander and the computer scientist Timnid Gibbrew had given the whole skeptical movement its slogan. These machines they wrote are stochastic parrots.β
β12 years ago, I wrote a book called Utopia for realists.β
βQuantum Zeno dynamics (QZD) and dynamical decoupling (DD) are useful tools that enable the effective suppression of noise in quantum systems.β
βQuantum Zeno dynamics (QZD) and dynamical decoupling (DD) are useful tools that enable the effective suppression of noise in quantum systems.β
βIn this paper, we introduce and study shifted twisted quantum affine algebras which provide a twisted counterpart of the theory of shifted quantum affine algebras.β
βWe introduce a numerically robust PGM formulation based on the Moore-Penrose pseudoinverse, replacing the standard inverse square root with a threshold-regularized variant that remains well-defined acβ¦β
βYeah, you can follow me on regulatory Jason on X Jason Brett on LinkedIn. Also, there's my Forbes senior contributor articles, so you can see me on Forbes as well.β
βMicrosoft is taking OpenAI's newest artificial intelligence model and intertwining it with Bing's search data so you can chat with the search engine and get up to date information.β
βSunseek for people who like to get sunβ
βThe Microsoft Edge browser will now have a Bing sidebar where you can ask it to summarize a webpage you're on or ask it to generate text.β
βWhat are the key features and benefits of New Bing Chat mode, and how does it leverage AI to enhance the user experience?β
βI love the AI Satya.β
βI think I'm most excited about Bing as the real incarnation of Clippy.β
βWe develop a hybrid classical-quantum framework that combines pseudoinverse-based spectral preprocessing with quantum circuit realizations using block-encoding and spectral-transformation techniques.β
βemploys oblivious amplitude amplification to improve circuit-level success probabilities.β
βthese results identify ICDZM and the corresponding edge defect as probes for critical dynamics associated with topological zero modesβ
βWe present an analytical flux control method enabling derivative removal by adiabatic gate ($Ξ¦$-DRAG) for suppressing leakage in flux tunable two-qubit gates.β
βWe introduce a quantum walk-based optimisation algorithm (QWOA) for the CVRP with homogeneous or heterogeneous vehicle fleets, addressing this challenge through a continuous-time quantum walk over a pβ¦β
βWe term this phenomenon the noncommutative skin effect.β
βUsing the Keldysh non-equilibrium Green's function approach, we investigate charge pumping through a single-stranded helical structure described by a tight-binding model that includes either short-ranβ¦β
βUsing the Keldysh non-equilibrium Green's function approach, we investigate charge pumping through a single-stranded helical structure described by a tight-binding model that includes either short-ranβ¦β