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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48,001 to 48,060 of 120,312

SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data
Bruno Santos Teixeira
cs.AIcs.SEarXiv:2608.13612v12026
You Only Cache Once: Decoder-Decoder Architectures for Language Models
Yutao Sun, Li Dong, Yi Zhu +6
cs.CLarXiv:2405.05254v22024
Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance
Songtao Wei, Yi Li, Zhichun Guo +1
cs.LGcs.AIarXiv:2610.02396v12026
Attention-Based Multimodal Fusion for Video Description
Chiori Hori, Takaaki Hori, Teng-Yok Lee +3
cs.CVcs.CLcs.MMarXiv:1701.03126v22017
Improved Multiplayer Bandit Algorithm for Bernoulli Rewards
Khang Nguyen, Ricardo Parada, William Chang
cs.AIstat.MLarXiv:2609.26213v12026
Hyperparameter Scaling Laws Across MoE Sparsity
Changxin Tian, Kunlong Chen, Jia Liu +3
cs.LGcs.AIcs.CLarXiv:2609.08690v12026
HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation
Haokun Liu, Sicong Huang, Jingyu Hu +2
cs.AIcs.CLcs.CYarXiv:2504.11524v22025
Reinforcement Learning for Self-Improving Agent with Skill Library
Jiongxiao Wang, Qiaojing Yan, Yawei Wang +6
cs.AIarXiv:2512.17102v22025
Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
Mike A. Merrill, Alexander G. Shaw, Nicholas Carlini +82
cs.SEcs.AIarXiv:2601.11868v12026
An Empirical Study of VLM Pipelines for Long-Document QA
Kenan E. Ak, Jay Mohta, Gwang Gook Lee +2
cs.CLcs.AIcs.CVarXiv:2609.29933v12026
Game-Guided Skill Discovery through Self-Play for Playable Agent Control
Seungeun Rho, Jeonghwan Kim, Xue Bin Peng +1
cs.LGcs.AIcs.ROarXiv:2609.40137v12026
Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory
Tianxin Wei, Noveen Sachdeva, Benjamin Coleman +12
cs.CLcs.AIarXiv:2511.20857v22025
Different Changes Require Different Reasoning: Change-Type-Specialized Experts for Robust Change Captioning
Jiyoung Park, InJae Oh, Jung Uk Kim
cs.CVarXiv:2609.01136v12026
A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models
S. M Towhidul Islam Tonmoy, S M Mehedi Zaman, Vinija Jain +4
cs.CLarXiv:2401.01313v32024
Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark
Shuyu Yang, Yinan Zhou, Yaxiong Wang +3
cs.CVcs.MMarXiv:2306.02898v42023
Sign-Constrained Intervention Effects for Domain-Generalizable ICU World Models
Zhen Xu, Nicholas Konz, Zhen Tan +2
cs.CEarXiv:2610.11090v12026
S2RDF: RDF Querying with SPARQL on Spark
Alexander Schätzle, Martin Przyjaciel-Zablocki, Simon Skilevic +1
cs.DBcs.DCarXiv:1512.07021v32015
Fast Convolutional Nets With fbfft: A GPU Performance Evaluation
Nicolas Vasilache, Jeff Johnson, Michael Mathieu +3
cs.LGcs.DCcs.NEarXiv:1412.7580v32014
Test-time Reinforcement Learning in Imperfect Information Games
Ondrej Kubicek, Viliam Lisy, Tuomas Sandholm
cs.GTarXiv:2608.30635v12026
ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios
Xinyi Hu, Yuhao Shen, Baolin Zhang +6
cs.DCcs.AIcs.LGarXiv:2604.09603v22026
Practical issues in quantum-key-distribution post-processing
Chi-Hang Fred Fung, Xiongfeng Ma, H. F. Chau
quant-pharXiv:0910.0312v22009
Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions
Alejandro Escontrela, Xue Bin Peng, Wenhao Yu +4
cs.AIcs.ROarXiv:2203.15103v12022
Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders
Romit Maulik, Bethany Lusch, Prasanna Balaprakash
physics.flu-dynphysics.comp-pharXiv:2002.00470v22020
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models
Zhiqi Li, Guo Chen, Shilong Liu +24
cs.CVcs.AIcs.LGarXiv:2501.14818v12025
Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function
Anh Tuan Nguyen, Viet Anh Nguyen
cs.LGstat.MLarXiv:2608.17343v12026
Interpolation Is Not Invariance: Pair Count Is Not Coverage in Transformation Audits
Mohammed Ahnouch, Lotfi Elaachak
cs.LGcs.AIarXiv:2609.14870v12026
West-of-N: Synthetic Preferences for Self-Improving Reward Models
Alizée Pace, Jonathan Mallinson, Eric Malmi +2
cs.CLcs.AIcs.LGarXiv:2401.12086v22024
AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling
Liang Ding
cs.AIcs.CLarXiv:2603.21357v42026
Growing a Neural Network in Breadth, Depth, and Time
Eivinas Butkus, Kedar Garzón Gupta, Nikolaus Kriegeskorte
q-bio.NCcs.LGcs.NEarXiv:2605.25174v12026
MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases
Rithesh Murthy, Liangwei Yang, Juntao Tan +15
cs.CLcs.AIcs.LGarXiv:2406.10290v12024
Auto-Encoding Variational Bayes
Diederik P Kingma, Max Welling
stat.MLcs.LGarXiv:1312.6114v112013
Time-Dependent Hamiltonian Simulation with Optimal Query Complexity
Boyang Chen, Minbo Gao, Xinzhao Wang +1
quant-phcs.DSarXiv:2608.06094v12026
Adaptively time stepping the stochastic Landau-Lifshitz-Gilbert equation at nonzero temperature: implementation and validation in MuMax3
J. Leliaert, J. Mulkers, J. De Clercq +3
cond-mat.mes-hallarXiv:1709.01682v12017
Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning
Archit Sharma, Ahmed M. Ahmed, Rehaan Ahmad +1
cs.ROcs.AIcs.LGarXiv:2303.01488v12023
Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models
Minheng Ni, Yabo Zhang, Kailai Feng +3
cs.CVarXiv:2308.16777v22023
Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking
Greta Warren, Jingyi Sun, Irina Shklovski +1
cs.HCarXiv:2601.11387v12026
Topic-Guided Variational Autoencoders for Text Generation
Wenlin Wang, Zhe Gan, Hongteng Xu +5
cs.CLarXiv:1903.07137v12019
SubZero+: Efficient Zeroth-Order LLM Fine-Tuning via Large Learning Rates
Ziming Yu, Shuyao Xiao, Xingyu Zhao +6
cs.LGarXiv:2608.15665v12026
Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit
Haoxuan Jia, Yang Liu, Yingguang Yang +14
cs.CLarXiv:2608.29605v12026
Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models
Xiaoyu Luo, Tao Ren, Wenrui Yu +3
cs.CLcs.AIcs.CRarXiv:2609.26637v12026
SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents
Shengtian Yang, Ziyu Xiong, Kaibing Yang +6
cs.AIarXiv:2609.36939v12026
Replication or exploration? Sequential design for stochastic simulation experiments
Mickael Binois, Jiangeng Huang, Robert B Gramacy +1
stat.MEstat.COarXiv:1710.03206v22017
Gate-Efficient Implementation of the Query-Optimal Time-Dependent Hamiltonian Simulation
Boyang Chen, Minbo Gao, Zhengfeng Ji +3
quant-phcs.DSarXiv:2608.30629v12026
DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation
Ailiang Lin, Bingzhi Chen, Jiayu Xu +2
cs.CVarXiv:2106.06716v12021
Minimizing Cumulative Envy in Allocating a Sequence of Items
Paul W. Goldberg, Isaac Robinson, Nicholas Teh
cs.GTcs.MAarXiv:2610.09843v12026
CTFusion: A CTF-based Benchmark for LLM Agent Evaluation
Dongjun Lee, Ga-eun Bae, Insu Yun
cs.LGcs.CRarXiv:2605.11504v22026
NavigateDiff: Visual Predictors are Zero-Shot Navigation Assistants
Yiran Qin, Ao Sun, Yuze Hong +2
cs.ROcs.CVarXiv:2502.13894v12025
Satellite Swarms for Direct-to-Cell Networks: A Distribution-Performance Trade-off Analysis
Xavier Artiga, Marius Caus, Ana I. Pérez-Neira +2
eess.SParXiv:2609.01380v12026
Summaries:한국어
Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems
Rushikesh Kamalapurkar, Huyen Dinh, Shubhendu Bhasin +1
eess.SYmath.OCarXiv:1301.7664v22013
Auditing an AI-Generated Mathematical Proof: A Correction to a Greedy Conditioning Lemma in Quantum Parallel Repetition
Mikołaj Sienicki, Krzysztof Sienicki
cs.AIquant-pharXiv:2608.14673v12026
LADDER: Self-Improving LLMs Through Recursive Problem Decomposition
Toby Simonds, Akira Yoshiyama
cs.LGcs.AIarXiv:2503.00735v32025
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving
Yujun Lin, Haotian Tang, Shang Yang +4
cs.CLcs.AIcs.LGarXiv:2405.04532v32024
GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging
Ziyi Ni, Huacan Wang, Shuo Zhang +15
cs.SEcs.AIarXiv:2508.18993v22025
SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language Models
Sirun Li, Minghao Liu, Ling Dai +4
cs.CVcs.CLarXiv:2608.04244v12026
Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above
Nishant Balepur, Rachel Rudinger, Jordan Lee Boyd-Graber
cs.CLarXiv:2502.14127v22025
A Physics-Informed Deep Learning Paradigm for Car-Following Models
Zhaobin Mo, Xuan Di, Rongye Shi
cs.LGeess.SParXiv:2012.13376v42020
AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning
Yue Xie, Zhi Zheng, Yunpeng Ba +5
cs.LGarXiv:2609.35257v12026
Evolution of Swarm Robotics Systems with Novelty Search
Jorge Gomes, Paulo Urbano, Anders Lyhne Christensen
cs.NEarXiv:1304.3362v12013
Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version
Nelly Pustelnik, Caroline Chaux, Jean-Christophe Pesquet
math.OCarXiv:0911.1536v22009
EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents
Doyun Kim, Chanwoo Kim, Sugyeong Eo +2
cs.AIcs.CLarXiv:2608.30429v12026

Every paper with a summary

SemPlan: Benchmarking Structured Semantic Planning for LLM-Based Queries over Enterprise Data

You Only Cache Once: Decoder-Decoder Architectures for Language Models

Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance

Attention-Based Multimodal Fusion for Video Description

Improved Multiplayer Bandit Algorithm for Bernoulli Rewards

Hyperparameter Scaling Laws Across MoE Sparsity

HypoBench: Towards Systematic and Principled Benchmarking for Hypothesis Generation

Reinforcement Learning for Self-Improving Agent with Skill Library

Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces

An Empirical Study of VLM Pipelines for Long-Document QA

Game-Guided Skill Discovery through Self-Play for Playable Agent Control

Evo-Memory: Benchmarking LLM Agent Test-time Learning with Self-Evolving Memory

Different Changes Require Different Reasoning: Change-Type-Specialized Experts for Robust Change Captioning

A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models

Towards Unified Text-based Person Retrieval: A Large-scale Multi-Attribute and Language Search Benchmark

Sign-Constrained Intervention Effects for Domain-Generalizable ICU World Models

S2RDF: RDF Querying with SPARQL on Spark

Fast Convolutional Nets With fbfft: A GPU Performance Evaluation

Test-time Reinforcement Learning in Imperfect Information Games

ECHO: Elastic Speculative Decoding with Sparse Gating for High-Concurrency Scenarios

Practical issues in quantum-key-distribution post-processing

Adversarial Motion Priors Make Good Substitutes for Complex Reward Functions

Reduced-order modeling of advection-dominated systems with recurrent neural networks and convolutional autoencoders

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models

Tight Bounds for Data-driven Multiple Hyper-parameter Tuning with Structured Loss Function

Interpolation Is Not Invariance: Pair Count Is Not Coverage in Transformation Audits

West-of-N: Synthetic Preferences for Self-Improving Reward Models

AgentHER: Hindsight Experience Replay for LLM Agent Trajectory Relabeling

Growing a Neural Network in Breadth, Depth, and Time

MobileAIBench: Benchmarking LLMs and LMMs for On-Device Use Cases

Auto-Encoding Variational Bayes

Time-Dependent Hamiltonian Simulation with Optimal Query Complexity

Adaptively time stepping the stochastic Landau-Lifshitz-Gilbert equation at nonzero temperature: implementation and validation in MuMax3

Self-Improving Robots: End-to-End Autonomous Visuomotor Reinforcement Learning

Ref-Diff: Zero-shot Referring Image Segmentation with Generative Models

Show me the evidence: Evaluating the role of evidence and natural language explanations in AI-supported fact-checking

Topic-Guided Variational Autoencoders for Text Generation

SubZero+: Efficient Zeroth-Order LLM Fine-Tuning via Large Learning Rates

Hindsight Memory-PRM: Supervising Memory Management with Auditable Hindsight Credit

Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models

SCA: Spatial Credit Assignment for Reinforcement Learning of GUI Agents

Replication or exploration? Sequential design for stochastic simulation experiments

Gate-Efficient Implementation of the Query-Optimal Time-Dependent Hamiltonian Simulation

DS-TransUNet:Dual Swin Transformer U-Net for Medical Image Segmentation

Minimizing Cumulative Envy in Allocating a Sequence of Items

CTFusion: A CTF-based Benchmark for LLM Agent Evaluation

NavigateDiff: Visual Predictors are Zero-Shot Navigation Assistants

Satellite Swarms for Direct-to-Cell Networks: A Distribution-Performance Trade-off Analysis

Approximate Optimal Trajectory Tracking for Continuous Time Nonlinear Systems

Auditing an AI-Generated Mathematical Proof: A Correction to a Greedy Conditioning Lemma in Quantum Parallel Repetition

LADDER: Self-Improving LLMs Through Recursive Problem Decomposition

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging

SIGNPOST-Bench: Benchmarking Text-Vision Conflict Resolution in Multimodal Large Language Models

Which of These Best Describes Multiple Choice Evaluation with LLMs? A) Forced B) Flawed C) Fixable D) All of the Above

A Physics-Informed Deep Learning Paradigm for Car-Following Models

AIM-ZO: Activation-Informed Subspace Maintenance for Zeroth-Order LLM Fine-Tuning

Evolution of Swarm Robotics Systems with Novelty Search

Parallel Proximal Algorithm for Image Restoration Using Hybrid Regularization -- Extended Version

EvoSkill Injection: Red-Teaming Autonomous Skill Generation and Evolution in Self-Evolving Agents