Every paper with a summary

Every arXiv paper Paperlayer has summarized so far. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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20,101 to 20,160 of 119,997

On Almost MDS codes holding $(n-k-1)$-designs and an open problem on Witt design
Huakai Wei, Shiyuan Qiang, Shaofang Hong
cs.ITmath.ITmath.NTarXiv:2610.29744v12026
MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus
K M Naimul Hassan, Ali Alavi, Donald S. Williamson
eess.AScs.HCcs.LGarXiv:2609.31898v12026
X-Embedding: Two-Stage Training for Multilingual Patent Prior-Art Retrieval
Wentao Wu, Xu Wang, Linqing Chen +3
cs.IRarXiv:2610.29521v12026
Depth Laws for the Precision Floor of Trained Neural Networks: Amplification, Residual Scaling, and a Quantization-Aware Training Paradox
Ahmad S. Tarawneh
cs.LGarXiv:2609.32060v12026
Knowledge-Driven XRD Phase Identification via Multi-View Retrieval and Explanation
Doaa Mohamed, Markus Stricker
cond-mat.mtrl-scics.LGarXiv:2609.31888v12026
Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints
Andrew Cotter, Maya Gupta, Heinrich Jiang +5
cs.LGstat.MLarXiv:1807.00028v22018
Representation Learning for Exact Preimages
Konstantin Hess, Stefan Feuerriegel
cs.LGarXiv:2609.32018v12026
Graph Forward Distribution Matching for Molecular Inverse Design
Yihan Zhu, Yuhan Liu, Brett Savoie +2
cs.LGarXiv:2609.32056v12026
Methodology for replacing indirect measurements with direct measurements
Kosuke Mitarai, Keisuke Fujii
quant-pharXiv:1901.00015v22018
UlaCache: Unified Logical Addressing for Sparse LLM Serving
Isaac Zhu, Alan Cao, Hugh Yin +5
cs.DCarXiv:2610.29820v12026
Cycle structure of best-response dynamics in random bimatrix games
Georgios Nikolaos Karelas, Gábor Lugosi, Rui-Ray Zhang
cs.GTarXiv:2610.29153v12026
Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data
Puyudi Yang, Jianbo Chen, Cho-Jui Hsieh +2
cs.LGcs.AIcs.CLarXiv:1805.12316v12018
Mechanistic Interpretability Reveals Shared Causal Subspaces in Brain-to-Speech Decoders
Maryam Maghsoudi, Ayushi Mishra, Sanghamitra Dutta
cs.LGarXiv:2609.31992v12026
Runtime Semantic Discovery for Evolving Action Alphabets
Pietro Bernabei, Rosario Pugliese
cs.SEcs.FLcs.PLarXiv:2610.28682v12026
Lagrangian and Hamiltonian Neural Networks With a Dissipative System
V. Rayamajhi, J. Singal
cs.LGphysics.class-pharXiv:2609.31988v12026
Building SQL Equivalence Proofs from Query Rewrite Rules
Chunyu Chen, Xinyi Huang, Zhengjie Miao
cs.DBarXiv:2610.30100v12026
Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling
Nahid Sahel Gozin, Reza Sedaghat, Prathap Siddavaatam
cs.LGarXiv:2609.32008v12026
Can Circuit Alignment Predict OOD Generalization?
Ayan Banerjee, Abhra Chaudhuri, Josep Llados +2
cs.LGarXiv:2609.31996v12026
HAWK: Heterogeneity-Aware KV Cache Transfer for Efficient GPU-NPU Phase-Disaggregated LLM Inference
Junhyeok Park, Jungeun Yoon, Kyungmin Kim +3
cs.ARcs.DCarXiv:2610.29873v12026
Hermes Attack: Steal DNN Models with Lossless Inference Accuracy
Yuankun Zhu, Yueqiang Cheng, Husheng Zhou +1
cs.CRarXiv:2006.12784v22020
Integrating Language Models into Listened and Imagined Speech Decoding from MEG
Maryam Maghsoudi, Sai Samrat Kankanala, Shihab A. Shamma +1
cs.LGarXiv:2609.31997v12026
A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system
Chun Liu, Cheng Wang, Steven M. Wise +2
math.NAcs.NAarXiv:2009.08076v12020
A Common Tracking Software Project
Xiaocong Ai, Corentin Allaire, Noemi Calace +29
physics.ins-dethep-exarXiv:2106.13593v12021
Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study
Michal Choras, Konstantinos Demestichas, Agata Gielczyk +5
cs.CLcs.SIarXiv:2101.01142v12020
Recent Theoretical Advances in Non-Convex Optimization
Marina Danilova, Pavel Dvurechensky, Alexander Gasnikov +4
math.OCcs.LGarXiv:2012.06188v32020
Situating Vulnerability: An Ethical Governance Framework for Anthropomorphic AI Interaction
Hanhui Xu, Jiacheng Ji, Yuhan Wang +3
cs.CYarXiv:2610.29304v22026
Tight Bounds on the Randomized Communication Complexity of Vector-in-Subspace
Chengu Wang
cs.CCquant-pharXiv:2610.30052v12026
Variational f-divergence Minimization
Mingtian Zhang, Thomas Bird, Raza Habib +2
stat.MLcs.LGarXiv:1907.11891v22019
The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models
Yanjun Chen, Dawei Zhu, Yirong Sun +3
cs.CLcs.AIarXiv:2410.06554v22024
Transforming and Combining Rewards for Aligning Large Language Models
Zihao Wang, Chirag Nagpal, Jonathan Berant +4
cs.CLcs.AIarXiv:2402.00742v22024
Bayesian multitask inverse reinforcement learning
Christos Dimitrakakis, Constantin Rothkopf
stat.MLcs.AIarXiv:1106.3655v22011
f-Divergence constrained policy improvement
Boris Belousov, Jan Peters
cs.LGcs.AIstat.MLarXiv:1801.00056v22017
Scalable Backdoor Detection in Neural Networks
Haripriya Harikumar, Vuong Le, Santu Rana +3
cs.CVarXiv:2006.05646v12020
Maximum Causal Tsallis Entropy Imitation Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
cs.LGstat.MLarXiv:1805.08336v22018
Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble
Shun Zhang, Zhenfang Chen, Sunli Chen +3
cs.LGcs.AIcs.CLarXiv:2401.16635v32024
Adversarial Imitation via Variational Inverse Reinforcement Learning
Ahmed H. Qureshi, Byron Boots, Michael C. Yip
cs.LGcs.AIcs.ROarXiv:1809.06404v32018
Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning
Kyungjae Lee, Sungjoon Choi, Songhwai Oh
cs.LGcs.AIstat.MLarXiv:1709.06293v32017
Progressive distillation induces an implicit curriculum
Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi +2
cs.LGarXiv:2410.05464v12024
How to Evaluate Reward Models for RLHF
Evan Frick, Tianle Li, Connor Chen +6
cs.LGcs.AIcs.CLarXiv:2410.14872v22024
Vanishing Gradients in Reinforcement Finetuning of Language Models
Noam Razin, Hattie Zhou, Omid Saremi +5
cs.LGcs.AIcs.CLarXiv:2310.20703v32023
Towards Understanding the Influence of Reward Margin on Preference Model Performance
Bowen Qin, Duanyu Feng, Xi Yang
cs.CLcs.AIarXiv:2404.04932v12024
Provably Efficient Imitation Learning from Observation Alone
Wen Sun, Anirudh Vemula, Byron Boots +1
cs.LGstat.MLarXiv:1905.10948v22019
From Understanding to Utilization: A Survey on Explainability for Large Language Models
Haoyan Luo, Lucia Specia
cs.CLcs.AIarXiv:2401.12874v22024
Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations
Michael Laskey, Caleb Chuck, Jonathan Lee +5
cs.ROcs.LGarXiv:1610.00850v32016
On-Policy Attention Linearization
Arian Raje, Anupam Nayak, Anthony Fei +3
cs.LGarXiv:2609.31947v12026
InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations
Yunzhu Li, Jiaming Song, Stefano Ermon
cs.LGcs.AIcs.CVarXiv:1703.08840v22017
A Survey of Self-Supervised and Few-Shot Object Detection
Gabriel Huang, Issam Laradji, David Vazquez +2
cs.CVcs.AIcs.LGarXiv:2110.14711v32021
Linear Self-Symmetries of Inverse-Based S-boxes: Generic Rigidity and Applications
Zheng Zhang, Na Zhang
cs.CRarXiv:2610.29837v12026
CloudIR-Bench: A Benchmark for Root Cause Analysis and Mitigation of Cloud Incidents
Hoang Tran, Huong Ha, Tri Dang +2
cs.SEarXiv:2610.29185v12026
A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform
Yongjin Yi, Jinyong Park, Sejoong Kim
cs.HCarXiv:2610.29312v12026
Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix
Fangshuo Liao, Anastasios Kyrillidis
cs.LGmath.OCarXiv:2609.31983v12026
PQ-Vault: Provably Quantum-Safe Asset Custody for Unmodified Ethereum
Hassan Khodaiemehr, Khadijeh Bagheri, Chen Feng
quant-phcs.CRcs.DCarXiv:2610.29230v12026
Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs
Maria Lomeli, Antoine Groudiev, Matthijs Douze +7
cs.LGarXiv:2609.31975v12026
Automatic Symmetry Discovery with Lie Algebra Convolutional Network
Nima Dehmamy, Robin Walters, Yanchen Liu +2
cs.LGcs.AImath.GRarXiv:2109.07103v22021
An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble
Shuhan Zhang, Fan Yang, Changhao Yan +2
cs.LGcs.SYeess.SYarXiv:2106.15412v12021
Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution
Guangwei Gao, Wenjie Li, Juncheng Li +3
cs.CVeess.IVarXiv:2112.08655v22021
DynaCI: Generating GitHub Actions Workflows via Dynamic Analysis
Javid Ditty, Rahul Ghanshyam Chavan, Nimmi Weeraddana +1
cs.SEarXiv:2610.29890v12026
Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization
Haris Moazam Sheikh
cs.LGmath.OCstat.MLarXiv:2609.31940v12026
Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders
Jiaming Zhang, Wu Yang, Shuai Tao +1
cs.LGcs.PFarXiv:2609.31938v12026
Averaged Mirror Descent and Dual Gradient Methods: Convergent Algorithms for Entropic Gromov-Wasserstein Problems
Joanna Marks, Gabriel Rioux, Riccardo Passeggeri
cs.LGmath.OCarXiv:2609.31848v22026

Every paper with a summary

On Almost MDS codes holding $(n-k-1)$-designs and an open problem on Witt design

MAESTRO: a Multimodal Auditory-attention Egocentric Speech-TRacking Open corpus

X-Embedding: Two-Stage Training for Multilingual Patent Prior-Art Retrieval

Depth Laws for the Precision Floor of Trained Neural Networks: Amplification, Residual Scaling, and a Quantization-Aware Training Paradox

Knowledge-Driven XRD Phase Identification via Multi-View Retrieval and Explanation

Training Well-Generalizing Classifiers for Fairness Metrics and Other Data-Dependent Constraints

Representation Learning for Exact Preimages

Graph Forward Distribution Matching for Molecular Inverse Design

Methodology for replacing indirect measurements with direct measurements

UlaCache: Unified Logical Addressing for Sparse LLM Serving

Cycle structure of best-response dynamics in random bimatrix games

Greedy Attack and Gumbel Attack: Generating Adversarial Examples for Discrete Data

Mechanistic Interpretability Reveals Shared Causal Subspaces in Brain-to-Speech Decoders

Runtime Semantic Discovery for Evolving Action Alphabets

Lagrangian and Hamiltonian Neural Networks With a Dissipative System

Building SQL Equivalence Proofs from Query Rewrite Rules

Human Activity Recognition via Ultra-Wideband Data: A Framework for Dimensionality Reduction, Pattern Discovery, and Predictive Modeling

Can Circuit Alignment Predict OOD Generalization?

HAWK: Heterogeneity-Aware KV Cache Transfer for Efficient GPU-NPU Phase-Disaggregated LLM Inference

Hermes Attack: Steal DNN Models with Lossless Inference Accuracy

Integrating Language Models into Listened and Imagined Speech Decoding from MEG

A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system

A Common Tracking Software Project

Advanced Machine Learning Techniques for Fake News (Online Disinformation) Detection: A Systematic Mapping Study

Recent Theoretical Advances in Non-Convex Optimization

Situating Vulnerability: An Ethical Governance Framework for Anthropomorphic AI Interaction

Tight Bounds on the Randomized Communication Complexity of Vector-in-Subspace

Variational f-divergence Minimization

The Accuracy Paradox in RLHF: When Better Reward Models Don't Yield Better Language Models

Transforming and Combining Rewards for Aligning Large Language Models

Bayesian multitask inverse reinforcement learning

f-Divergence constrained policy improvement

Scalable Backdoor Detection in Neural Networks

Maximum Causal Tsallis Entropy Imitation Learning

Improving Reinforcement Learning from Human Feedback with Efficient Reward Model Ensemble

Adversarial Imitation via Variational Inverse Reinforcement Learning

Sparse Markov Decision Processes with Causal Sparse Tsallis Entropy Regularization for Reinforcement Learning

Progressive distillation induces an implicit curriculum

How to Evaluate Reward Models for RLHF

Vanishing Gradients in Reinforcement Finetuning of Language Models

Towards Understanding the Influence of Reward Margin on Preference Model Performance

Provably Efficient Imitation Learning from Observation Alone

From Understanding to Utilization: A Survey on Explainability for Large Language Models

Comparing Human-Centric and Robot-Centric Sampling for Robot Deep Learning from Demonstrations

On-Policy Attention Linearization

InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

A Survey of Self-Supervised and Few-Shot Object Detection

Linear Self-Symmetries of Inverse-Based S-boxes: Generic Rigidity and Applications

CloudIR-Bench: A Benchmark for Root Cause Analysis and Mitigation of Cloud Incidents

A Stratified Multi-Rater Evaluation of LLM-Based Virtual Standardized Patients with a Deployed Data-Generation Platform

Understanding the Subspace Stabilization of the Hessian and Gradient Covariance Matrix

PQ-Vault: Provably Quantum-Safe Asset Custody for Unmodified Ethereum

Model Casting and Low-Parameter Gating: Towards More Sparsely Activated FFNs

Automatic Symmetry Discovery with Lie Algebra Convolutional Network

An Efficient Batch Constrained Bayesian Optimization Approach for Analog Circuit Synthesis via Multi-objective Acquisition Ensemble

Feature Distillation Interaction Weighting Network for Lightweight Image Super-Resolution

DynaCI: Generating GitHub Actions Workflows via Dynamic Analysis

Simple Extensions of Single-Objective Acquisition Functions and Hedge Strategies for Multi-Objective Bayesian Optimization

Cache-Aware Conv3D Lowering Across Embedded World-Model Decoders

Averaged Mirror Descent and Dual Gradient Methods: Convergent Algorithms for Entropic Gromov-Wasserstein Problems