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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92,281 to 92,340 of 102,634

Simulating the Visual World with Artificial Intelligence: A Roadmap
Jingtong Yue, Ziqi Huang, Zhaoxi Chen +3
cs.AIcs.CVarXiv:2511.08585v42025
UFO3: Weaving the Digital Agent Galaxy
Chaoyun Zhang, Liqun Li, He Huang +8
cs.DCcs.MAarXiv:2511.11332v22025
A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models
Qinggang Zhang, Shengyuan Chen, Yuanchen Bei +9
cs.CLcs.AIcs.IRarXiv:2501.13958v32025
Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning
Jiaer Xia, Yuhang Zang, Peng Gao +2
cs.CVarXiv:2505.14677v32025
Generative Language Models Exhibit Social Identity Biases
Tiancheng Hu, Yara Kyrychenko, Steve Rathje +3
cs.CLcs.CYarXiv:2310.15819v22023
Multilingual Routing in Mixture-of-Experts
Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz +2
cs.CLcs.AIcs.LGarXiv:2510.04694v22025
Universal Actions for Enhanced Embodied Foundation Models
Jinliang Zheng, Jianxiong Li, Dongxiu Liu +7
cs.ROcs.AIcs.CVarXiv:2501.10105v22025
Vulnerability Detection with Code Language Models: How Far Are We?
Yangruibo Ding, Yanjun Fu, Omniyyah Ibrahim +6
cs.SEcs.CLarXiv:2403.18624v22024
Evaluating Agent-based Program Repair at Google
Pat Rondon, Renyao Wei, José Cambronero +5
cs.SEcs.AIarXiv:2501.07531v12025
Large Language Models Hallucination: A Comprehensive Survey
Aisha Alansari, Hamzah Luqman
cs.CLarXiv:2510.06265v32025
Perception Encoder: The best visual embeddings are not at the output of the network
Daniel Bolya, Po-Yao Huang, Peize Sun +15
cs.CVarXiv:2504.13181v22025
Context Length Alone Hurts LLM Performance Despite Perfect Retrieval
Yufeng Du, Minyang Tian, Srikanth Ronanki +7
cs.CLcs.AIarXiv:2510.05381v12025
Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning
Jonathan Kim, Anna Podlasek, Kie Shidara +3
cs.CLcs.AIarXiv:2502.04381v12025
LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models
Feng Li, Renrui Zhang, Hao Zhang +5
cs.CVcs.CLcs.LGarXiv:2407.07895v22024
MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions
Xuan Ju, Yiming Gao, Zhaoyang Zhang +6
cs.CVarXiv:2407.06358v12024
Characterization of Large Language Model Development in the Datacenter
Qinghao Hu, Zhisheng Ye, Zerui Wang +9
cs.DCcs.LGarXiv:2403.07648v22024
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs
Caorui Li, Yu Chen, Yiyan Ji +40
cs.AIarXiv:2510.10689v32025
Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions
Saffron Huang, Esin Durmus, Miles McCain +7
cs.CLcs.AIcs.CYarXiv:2504.15236v12025
VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness
Dian Zheng, Ziqi Huang, Hongbo Liu +9
cs.CVarXiv:2503.21755v22025
HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis
Guillaume Jaume, Paul Doucet, Andrew H. Song +8
cs.CVarXiv:2406.16192v22024
Efficient Reasoning Models: A Survey
Sicheng Feng, Gongfan Fang, Xinyin Ma +1
cs.CLcs.AIarXiv:2504.10903v22025
R-PRM: Reasoning-Driven Process Reward Modeling
Shuaijie She, Junxiao Liu, Yifeng Liu +3
cs.CLarXiv:2503.21295v12025
TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning
Xingjian Zhang, Siwei Wen, Wenjun Wu +1
cs.CVarXiv:2504.09641v12025
R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning
Jiaxing Zhao, Xihan Wei, Liefeng Bo
cs.LGcs.CVarXiv:2503.05379v22025
L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning
Pranjal Aggarwal, Sean Welleck
cs.CLcs.AIcs.LGarXiv:2503.04697v22025
Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
Yixin Liu, Kai Zhang, Yuan Li +9
cs.CVcs.AIcs.LGarXiv:2402.17177v32024
School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs
Mia Taylor, James Chua, Jan Betley +2
cs.AIarXiv:2508.17511v12025
Track Any Motions under Any Disturbances
Zhikai Zhang, Jun Guo, Chao Chen +10
cs.ROarXiv:2509.13833v32025
Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving
Daoguang Zan, Zhirong Huang, Wei Liu +16
cs.SEcs.AIcs.CLarXiv:2504.02605v12025
LLM Inference Unveiled: Survey and Roofline Model Insights
Zhihang Yuan, Yuzhang Shang, Yang Zhou +11
cs.CLcs.AIarXiv:2402.16363v62024
XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?
Fengxiang Wang, Hongzhen Wang, Mingshuo Chen +9
cs.CVarXiv:2503.23771v12025
Investigating Cultural Alignment of Large Language Models
Badr AlKhamissi, Muhammad ElNokrashy, Mai AlKhamissi +1
cs.CLcs.CYarXiv:2402.13231v22024
Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers
Shalev Lifshitz, Sheila A. McIlraith, Yilun Du
cs.AIarXiv:2502.20379v12025
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
Gelei Deng, Yi Liu, Kailong Wang +3
cs.CRarXiv:2402.08416v12024
The Effect of Sampling Temperature on Problem Solving in Large Language Models
Matthew Renze, Erhan Guven
cs.CLcs.AIarXiv:2402.05201v32024
AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models
Zihao Zhu, Xinyu Wu, Gehan Hu +3
cs.AIcs.CLarXiv:2509.24269v12025
OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation
Qijun Gan, Ruizi Yang, Jianke Zhu +2
cs.CVcs.AIcs.MMarXiv:2506.18866v12025
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.CLarXiv:2503.01840v32025
Unified Video Action Model
Shuang Li, Yihuai Gao, Dorsa Sadigh +1
cs.ROcs.CVarXiv:2503.00200v32025
Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models
Marianne Arriola, Aaron Gokaslan, Justin T. Chiu +5
cs.LGcs.AIarXiv:2503.09573v32025
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li, Fangyun Wei, Chao Zhang +1
cs.LGcs.CLarXiv:2401.15077v32024
Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning
Yue Ma, Yulong Liu, Qiyuan Zhu +8
cs.CVarXiv:2506.05207v42025
Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs
Dayu Yang, Tianyang Liu, Daoan Zhang +8
cs.CLcs.AIcs.LGarXiv:2502.19411v12025
PromptArmor: Simple yet Effective Prompt Injection Defenses
Tianneng Shi, Kaijie Zhu, Zhun Wang +13
cs.CRcs.AIarXiv:2507.15219v12025
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
Abhimanyu Hans, Avi Schwarzschild, Valeriia Cherepanova +5
cs.CLcs.AIcs.LGarXiv:2401.12070v32024
An Investigation of Incorporating Mamba for Speech Enhancement
Rong Chao, Wen-Huang Cheng, Moreno La Quatra +4
cs.SDcs.AIeess.ASarXiv:2405.06573v22024
VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation
Hritik Bansal, Clark Peng, Yonatan Bitton +3
cs.CVarXiv:2503.06800v12025
S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput
Yunho Jin, Chun-Feng Wu, David Brooks +1
cs.ARcs.AIarXiv:2306.06000v12023
SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception
Duorui Xie, Lingyu Liang, Lianwen Jin +2
cs.CVarXiv:1511.02459v12015
CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation
Ruwei Pan, Hongyu Zhang, Chao Liu
cs.SEarXiv:2501.07811v22025
Personalized Generation In Large Model Era: A Survey
Yiyan Xu, Jinghao Zhang, Alireza Salemi +6
cs.IRarXiv:2503.02614v22025
SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation
Zhongang Cai, Wanqi Yin, Ailing Zeng +10
cs.CVarXiv:2309.17448v32023
Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks
Maya Bechler-Speicher, Ben Finkelshtein, Fabrizio Frasca +9
cs.LGcs.AIcs.NEarXiv:2502.14546v12025
mmBERT: A Modern Multilingual Encoder with Annealed Language Learning
Marc Marone, Orion Weller, William Fleshman +3
cs.CLcs.IRcs.LGarXiv:2509.06888v12025
FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies
Moritz Reuss, Hongyi Zhou, Marcel Rühle +3
cs.ROarXiv:2509.04996v12025
Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems
Bingyu Yan, Zhibo Zhou, Litian Zhang +6
cs.MAcs.CLarXiv:2502.14321v32025
MMTEB: Massive Multilingual Text Embedding Benchmark
Kenneth Enevoldsen, Isaac Chung, Imene Kerboua +83
cs.CLcs.AIcs.IRarXiv:2502.13595v42025
KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider
Jiahao Wang, Jinbo Han, Xingda Wei +6
cs.DCcs.AIarXiv:2506.02634v52025
Phantom: Subject-consistent video generation via cross-modal alignment
Lijie Liu, Tianxiang Ma, Bingchuan Li +6
cs.CVcs.AIarXiv:2502.11079v22025
Intuitive physics understanding emerges from self-supervised pretraining on natural videos
Quentin Garrido, Nicolas Ballas, Mahmoud Assran +5
cs.CVcs.AIarXiv:2502.11831v12025

Every paper with a summary

Simulating the Visual World with Artificial Intelligence: A Roadmap

UFO3: Weaving the Digital Agent Galaxy

A Survey of Graph Retrieval-Augmented Generation for Customized Large Language Models

Visionary-R1: Mitigating Shortcuts in Visual Reasoning with Reinforcement Learning

Generative Language Models Exhibit Social Identity Biases

Multilingual Routing in Mixture-of-Experts

Universal Actions for Enhanced Embodied Foundation Models

Vulnerability Detection with Code Language Models: How Far Are We?

Evaluating Agent-based Program Repair at Google

Large Language Models Hallucination: A Comprehensive Survey

Perception Encoder: The best visual embeddings are not at the output of the network

Context Length Alone Hurts LLM Performance Despite Perfect Retrieval

Limitations of Large Language Models in Clinical Problem-Solving Arising from Inflexible Reasoning

LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal Models

MiraData: A Large-Scale Video Dataset with Long Durations and Structured Captions

Characterization of Large Language Model Development in the Datacenter

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Values in the Wild: Discovering and Analyzing Values in Real-World Language Model Interactions

VBench-2.0: Advancing Video Generation Benchmark Suite for Intrinsic Faithfulness

HEST-1k: A Dataset for Spatial Transcriptomics and Histology Image Analysis

Efficient Reasoning Models: A Survey

R-PRM: Reasoning-Driven Process Reward Modeling

TinyLLaVA-Video-R1: Towards Smaller LMMs for Video Reasoning

R1-Omni: Explainable Omni-Multimodal Emotion Recognition with Reinforcement Learning

L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models

School of Reward Hacks: Hacking harmless tasks generalizes to misaligned behavior in LLMs

Track Any Motions under Any Disturbances

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

LLM Inference Unveiled: Survey and Roofline Model Insights

XLRS-Bench: Could Your Multimodal LLMs Understand Extremely Large Ultra-High-Resolution Remote Sensing Imagery?

Investigating Cultural Alignment of Large Language Models

Multi-Agent Verification: Scaling Test-Time Compute with Multiple Verifiers

Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning

The Effect of Sampling Temperature on Problem Solving in Large Language Models

AdvChain: Adversarial Chain-of-Thought Tuning for Robust Safety Alignment of Large Reasoning Models

OmniAvatar: Efficient Audio-Driven Avatar Video Generation with Adaptive Body Animation

EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test

Unified Video Action Model

Block Diffusion: Interpolating Between Autoregressive and Diffusion Language Models

EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty

Follow-Your-Motion: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning

Code to Think, Think to Code: A Survey on Code-Enhanced Reasoning and Reasoning-Driven Code Intelligence in LLMs

PromptArmor: Simple yet Effective Prompt Injection Defenses

Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text

An Investigation of Incorporating Mamba for Speech Enhancement

VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

S$^{3}$: Increasing GPU Utilization during Generative Inference for Higher Throughput

SCUT-FBP: A Benchmark Dataset for Facial Beauty Perception

CodeCoR: An LLM-Based Self-Reflective Multi-Agent Framework for Code Generation

Personalized Generation In Large Model Era: A Survey

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

Position: Graph Learning Will Lose Relevance Due To Poor Benchmarks

mmBERT: A Modern Multilingual Encoder with Annealed Language Learning

FLOWER: Democratizing Generalist Robot Policies with Efficient Vision-Language-Action Flow Policies

Beyond Self-Talk: A Communication-Centric Survey of LLM-Based Multi-Agent Systems

MMTEB: Massive Multilingual Text Embedding Benchmark

KVCache Cache in the Wild: Characterizing and Optimizing KVCache Cache at a Large Cloud Provider

Phantom: Subject-consistent video generation via cross-modal alignment

Intuitive physics understanding emerges from self-supervised pretraining on natural videos