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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13,621 to 13,680 of 117,767

Engineering Efficient Self-Play Chess: Search, Replay, and Throughput Under Limited Compute
Bertil Braun
cs.LGcs.AIarXiv:2609.37447v12026
Bounded Independence Fools Degree-2 Threshold Functions
Ilias Diakonikolas, Daniel M. Kane, Jelani Nelson
cs.CCarXiv:0911.3389v22009
Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?
Haomin Luo
cs.AIcs.LGarXiv:2609.35897v12026
Prostate biopsy tracking with deformation estimation
Michael Baumann, Pierre Mozer, Vincent Daanen +1
cs.CVphysics.med-pharXiv:1107.1644v12011
Representational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training
Adam Elimadi
cs.AIarXiv:2609.35890v12026
More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation
Yuzhuo Chen, Huafeng Shi, Xinyu Wang +6
cs.CVarXiv:2610.35001v12026
A Simple Standard for Sharing Ontological Mappings (SSSOM)
Nicolas Matentzoglu, James P. Balhoff, Susan M. Bello +41
cs.DBarXiv:2112.07051v12021
Beyond Conservatism: Recoverability-Conditioned Exploration for Model-Based Imitation Learning
Xuanlin Chen, Ziyue Wang, Xunlan Zhou +3
cs.LGcs.AIarXiv:2609.33336v12026
Novel anisotropic continuum-discrete damage model capable of representing localized failure of massive structures. Part II: identification from tests under heterogeneous stress field
A. Kucerova, D. Brancherie, A. Ibrahimbegovic +2
cs.NEcs.CEarXiv:0902.1665v12009
LED: Improving Masked Diffusion Language Models by Lookahead Editing
Yuyan Zhou, Zeyuan Yang, Yuxuan Song +5
cs.LGcs.CLarXiv:2610.23122v12026
KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots
Wanfeng Lu, Yutong Zhang, Keyi Zhou +3
cs.LGcs.AIq-bio.QMarXiv:2609.33350v12026
ECHO: Replacing the Compliance Proxy with Response Harmfulness in Optimization-Based Jailbreak Attack
Yuanwei Wu, Lingdong Huang, Yunlong Mao +3
cs.CRcs.CLarXiv:2610.23030v12026
Verbalising Model's Computation for Chain-of-Thought Faithfulness Detection
Yujing Wang, Yulan He, Wenya Wang +1
cs.CLarXiv:2610.23275v12026
API Secrets Should Never Become Tokens in the LLM's Vocabulary: A Threat Analysis of API Credential Handling in LLM Agent Systems and an Empirical Evaluation of a Vault-Mediated Execution Boundary
Patrick Kenney, Hadi Ahmadi, Denis Lusson +2
cs.CRcs.AIcs.LGarXiv:2609.33371v12026
miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning
Zhen Li, Mingfa Feng, Yiming Zhang +6
cs.LGcs.AIstat.MLarXiv:2610.23928v12026
Physics-Informed Neural Networks for Shell Structures
Jan-Hendrik Bastek, Dennis M. Kochmann
cs.CEcs.LGarXiv:2207.14291v12022
Modern computational studies of the glass transition
Ludovic Berthier, David R. Reichman
cond-mat.stat-mechcond-mat.dis-nncond-mat.softarXiv:2208.02206v32022
What Survives the Codec Shift: Pooled No-Vocals Residuals for Speech Deepfake Detection
Jiajun Xu, Menglu Li, Xiao-Ping Zhang
cs.SDcs.AIcs.LGarXiv:2609.33375v12026
CHI: A Composite Hallucination Index Unifying Entity, Relation, and Quantity Dimensions for Summarization Evaluation
Praveenkumar Katwe, Rakesh Chandra Balabantaray, Kali Prasad Vittala
cs.CLcs.AIarXiv:2609.33343v12026
Learning Document-Level Semantic Properties from Free-Text Annotations
S. R. K. Branavan, Harr Chen, Jacob Eisenstein +1
cs.CLcs.IRarXiv:1401.3457v12014
AV-FABLE: Audio-Visual Manipulation Forensics in Long-Form Videos
Yuesheng Huang, Hoi Fan Au, Jiaqi Hou +8
cs.CVcs.MMarXiv:2610.33413v12026
BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting
Kangjia Yan, Linfeng Wang, Tianen Shen +7
cs.LGcs.AIarXiv:2609.33303v12026
Contrastive Decoding Improves Reasoning in Large Language Models
Sean O'Brien, Mike Lewis
cs.CLcs.AIarXiv:2309.09117v22023
Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast
Chufan Shi, Cheng Yang, Xinyu Zhu +6
cs.CLcs.LGarXiv:2405.14507v22024
Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions
Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi +3
cs.CLarXiv:2406.16743v22024
Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge
Mohammad Reza Rezaei, Reza Saadati Fard, Jayson L. Parker +2
cs.CLcs.MAarXiv:2502.13010v32025
From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing
Chengrui Xiang, Tengfei Ma, Xiangzheng Fu +3
cs.CLcs.AIarXiv:2510.12181v12025
Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training
Xinyu Che, Hang Yan, Yanchen Liu +5
cs.CLcs.AIarXiv:2609.33335v12026
AquaWAM: A Dynamics-aware World Action Model for Underwater Embodied Agents
Cunhao Zhu, Yifeng Wang, Dongliang Xu +3
cs.ROcs.AIarXiv:2609.33299v22026
KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA
Xiaorui Su, Yibo Wang, Shanghua Gao +4
cs.AIarXiv:2410.04660v22024
High-Fidelity Single-Shot Toffoli Gate via Quantum Control
Ehsan Zahedinejad, Joydip Ghosh, Barry C. Sanders
quant-phphysics.comp-pharXiv:1501.04676v22015
Many Biases, One Circuit: Post-Training Tunes a Pretrained Cue-Routing Mechanism
Prakhar Gupta, Terry Jingchen Zhang, Zhijing Jin
cs.CLcs.AIcs.LGarXiv:2610.22937v12026
TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback
Eunseop Yoon, Hee Suk Yoon, SooHwan Eom +7
cs.CLarXiv:2407.16574v22024
Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
Dingkang Yang, Dongling Xiao, Jinjie Wei +4
cs.CLarXiv:2408.12325v52024
Alleviating Hallucinations of Large Language Models through Induced Hallucinations
Yue Zhang, Leyang Cui, Wei Bi +1
cs.CLcs.AIarXiv:2312.15710v22023
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
Jinyuan Fang, Zaiqiao Meng, Craig Macdonald
cs.CLarXiv:2502.18397v12025
Deep Learning for Forest Plantation Mapping in Godavari Districts of Andhra Pradesh, India
Snehal More, Anuj Karpatne, Valerie A. Thomas +1
eess.IVcs.LGarXiv:2610.22415v12026
Robust Hierarchical Structures for Agentic Document Analysis
Ruiying Ma, Yiming Lin, Aditya G. Parameswaran
cs.DBcs.AIcs.CLarXiv:2609.33322v12026
At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier
Marco Dos Santos, Vivek Veeriah, Alex Havrilla +4
cs.AIcs.FLarXiv:2610.22603v22026
Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters
Tardelli Ronan Coelho Stekel
cs.CLcs.LGarXiv:2610.30970v12026
ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models
Zhongjian Zhang, Xiao Wang, Busheng Zhang +5
cs.LGcs.AIarXiv:2609.33314v12026
Qubit metrology for building a fault-tolerant quantum computer
John M. Martinis
quant-pharXiv:1510.01406v12015
Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)
Shaobo Lin, Xia Liu, Jian Fang +1
cs.LGarXiv:1401.6240v12014
Nonlinear Systems Identification Using Deep Dynamic Neural Networks
Olalekan Ogunmolu, Xuejun Gu, Steve Jiang +1
cs.NEarXiv:1610.01439v12016
SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models
Hung Nguyen, Quang Qui-Vinh Nguyen, Khoi Nguyen +1
cs.CVcs.AIarXiv:2412.10178v22024
EmbodiedLab: Benchmarking Embodied Agents That Act to Know
Hongcheng Gao, Zelin Zheng, Alex Zhou +18
cs.ROarXiv:2610.35385v12026
Inspire: Benchmarking Scientific Literature Search for Open Research Problems
Jianrong Ding, Zhengyan Shi, Jianyuan Zhong +5
cs.IRcs.AIarXiv:2609.33233v12026
SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordings
Yiheng Lu, Hao-Wen Dong
cs.SDcs.AIeess.ASarXiv:2609.33265v12026
Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading
Alloy Das, Shreyan Ganguly, Nyzil Massey +4
cs.CVarXiv:2610.22566v12026
AutoML-GPT: Automatic Machine Learning with GPT
Shujian Zhang, Chengyue Gong, Lemeng Wu +2
cs.CLcs.AIcs.CVarXiv:2305.02499v12023
Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access
Zetian Song, Qize Yu, Yue Chen +10
cs.CVeess.IVarXiv:2610.33079v12026
HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source
Shixiang Wan, Quan Zou
cs.LGarXiv:1704.05204v12017
Predicting and Forecasting the Price of Constituents and Index of Cryptocurrency Using Machine Learning
Reaz Chowdhury, M. Arifur Rahman, M. Sohel Rahman +1
q-fin.STarXiv:1905.08444v12019
BERT4DTI : BERT-based Model for Predicting Drug-Protein Interactions
Thanina Hamitouch, Khadidja Henni, Abdelkrim Arie +3
cs.LGcs.AIcs.CLarXiv:2609.33254v12026
Resilience of Urban Transport Network-of-Networks under Intense Flood Hazards Exacerbated by Targeted Attacks
Nishant Yadav, Samrat Chatterjee, Auroop R. Ganguly
physics.soc-pharXiv:1911.06440v22019
A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future
Evangelia Kyrimi, Scott McLachlan, Kudakwashe Dube +3
cs.AIarXiv:2002.08627v22020
Distributional Robustness and Regularization in Reinforcement Learning
Esther Derman, Shie Mannor
math.OCcs.LGstat.MLarXiv:2003.02894v22020
When Do Models Admit They Are Wrong? Failure Disclosure Is Unstable Under Reinforcement Learning
Steven Y. Feng, Noah D. Goodman, Michael C. Frank +3
cs.LGcs.AIcs.CLarXiv:2609.33220v12026
CCSNet: a deep learning modeling suite for CO$_2$ storage
Gege Wen, Catherine Hay, Sally M. Benson
physics.flu-dyncs.LGarXiv:2104.01795v12021
Expression Snippet Transformer for Robust Video-based Facial Expression Recognition
Yuanyuan Liu, Wenbin Wang, Chuanxu Feng +3
cs.CVarXiv:2109.08409v12021

Every paper with a summary

Engineering Efficient Self-Play Chess: Search, Replay, and Throughput Under Limited Compute

Bounded Independence Fools Degree-2 Threshold Functions

Self-discovering RL in the Era of Experience: Is Learning History an Asset or a Burden?

Prostate biopsy tracking with deformation estimation

Representational Simplicity and Circuit Size Dissociate in a Threshold-Dependent Way: A Controlled Test via Adversarial Training

More Memory, Better Videos? A Controlled Study of Visual Memory in Long-Video Generation

A Simple Standard for Sharing Ontological Mappings (SSSOM)

Beyond Conservatism: Recoverability-Conditioned Exploration for Model-Based Imitation Learning

Novel anisotropic continuum-discrete damage model capable of representing localized failure of massive structures. Part II: identification from tests under heterogeneous stress field

LED: Improving Masked Diffusion Language Models by Lookahead Editing

KoopCell: Koopman-Based Generative Model for Learning Single-Cell Dynamics from Distribution Snapshots

ECHO: Replacing the Compliance Proxy with Response Harmfulness in Optimization-Based Jailbreak Attack

Verbalising Model's Computation for Chain-of-Thought Faithfulness Detection

API Secrets Should Never Become Tokens in the LLM's Vocabulary: A Threat Analysis of API Credential Handling in LLM Agent Systems and an Empirical Evaluation of a Vault-Mediated Execution Boundary

miniTE: Diagnosing and Bridging the Execution Gap in Native NVFP4 Reinforcement Learning

Physics-Informed Neural Networks for Shell Structures

Modern computational studies of the glass transition

What Survives the Codec Shift: Pooled No-Vocals Residuals for Speech Deepfake Detection

CHI: A Composite Hallucination Index Unifying Entity, Relation, and Quantity Dimensions for Summarization Evaluation

Learning Document-Level Semantic Properties from Free-Text Annotations

AV-FABLE: Audio-Visual Manipulation Forensics in Long-Form Videos

BITS: Rethinking Fair and Comprehensive Evaluation for Irregular Time Series Forecasting

Contrastive Decoding Improves Reasoning in Large Language Models

Unchosen Experts Can Contribute Too: Unleashing MoE Models' Power by Self-Contrast

Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions

Agentic Medical Knowledge Graphs Enhance Medical Question Answering: Bridging the Gap Between LLMs and Evolving Medical Knowledge

From Knowledge to Treatment: Large Language Model Assisted Biomedical Concept Representation for Drug Repurposing

Does Learning to Predict the World Help Agents Act? Auditing World-Model Post-Training

AquaWAM: A Dynamics-aware World Action Model for Underwater Embodied Agents

KGARevion: An AI Agent for Knowledge-Intensive Biomedical QA

High-Fidelity Single-Shot Toffoli Gate via Quantum Control

Many Biases, One Circuit: Post-Training Tunes a Pretrained Cue-Routing Mechanism

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback

Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators

Alleviating Hallucinations of Large Language Models through Induced Hallucinations

KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation

Deep Learning for Forest Plantation Mapping in Godavari Districts of Andhra Pradesh, India

Robust Hierarchical Structures for Agentic Document Analysis

At the Limits of Computability: Steps Towards Autonomous AI Discovery on the Busy Beaver Frontier

Joint or Per-Option? Compact Encoders for Closed-Set Decisions from 17 Million to 1 Billion Parameters

ZeroGAR: Benchmarking the Adversarial Robustness of Zero-Shot Graph Models

Qubit metrology for building a fault-tolerant quantum computer

Is Extreme Learning Machine Feasible? A Theoretical Assessment (Part II)

Nonlinear Systems Identification Using Deep Dynamic Neural Networks

SwiftTry: Fast and Consistent Video Virtual Try-On with Diffusion Models

EmbodiedLab: Benchmarking Embodied Agents That Act to Know

Inspire: Benchmarking Scientific Literature Search for Open Research Problems

SCISSOR: Score-Conditioned Instrument Source Separation for Orchestral Recordings

Seeing Seizures: A Large-Scale Empirical Study of Video and EEG Deep Learning for Automated Rodent Seizure Detection and Severity Grading

AutoML-GPT: Automatic Machine Learning with GPT

Rethinking Video Storage for AI Training: Breaking Cross-Frame Dependencies for Efficient Random Access

HPSLPred: An Ensemble Multi-label Classifier for Human Protein Subcellular Location Prediction with Imbalanced Source

Predicting and Forecasting the Price of Constituents and Index of Cryptocurrency Using Machine Learning

BERT4DTI : BERT-based Model for Predicting Drug-Protein Interactions

Resilience of Urban Transport Network-of-Networks under Intense Flood Hazards Exacerbated by Targeted Attacks

A Comprehensive Scoping Review of Bayesian Networks in Healthcare: Past, Present and Future

Distributional Robustness and Regularization in Reinforcement Learning

When Do Models Admit They Are Wrong? Failure Disclosure Is Unstable Under Reinforcement Learning

CCSNet: a deep learning modeling suite for CO$_2$ storage

Expression Snippet Transformer for Robust Video-based Facial Expression Recognition