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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48,781 to 48,840 of 120,295

Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning
Chongyuan Dai, Jinpeng Hu, Hongchang Shi +4
cs.CLarXiv:2508.10848v32025
Backdoor Attack in the Physical World
Yiming Li, Tongqing Zhai, Yong Jiang +2
cs.CRcs.AIcs.CVarXiv:2104.02361v22021
Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning
Chenhao Dang, Jing Ma, Mingjie Liao
cs.LGcs.CLarXiv:2606.24133v12026
Generating Sentences by Editing Prototypes
Kelvin Guu, Tatsunori B. Hashimoto, Yonatan Oren +1
cs.CLcs.AIcs.LGarXiv:1709.08878v22017
Understanding Multimodal Failure in Action-Chunking Behavioral Cloning
Lorenzo Mazza, Massimiliano Datres, Ariel Rodriguez +3
cs.LGcs.AIcs.ROarXiv:2605.22493v12026
Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting
Danyang Li, John Taylor, Thang Bui +1
cs.LGarXiv:2608.30654v12026
Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees
Anastasia Koloskova, Hadrien Hendrikx, Sebastian U. Stich
cs.LGcs.DCmath.OCarXiv:2305.01588v22023
VAFL: a Method of Vertical Asynchronous Federated Learning
Tianyi Chen, Xiao Jin, Yuejiao Sun +1
cs.LGcs.DCmath.OCarXiv:2007.06081v12020
SNAP: Stateful Network-Wide Abstractions for Packet Processing
Mina Tahmasbi Arashloo, Yaron Koral, Michael Greenberg +2
cs.NIarXiv:1512.00822v22015
Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment
Moxin Li, Yuantao Zhang, Wenjie Wang +4
cs.LGcs.CLarXiv:2502.14354v32025
Forecasting directional movements of stock prices for intraday trading using LSTM and random forests
Pushpendu Ghosh, Ariel Neufeld, Jajati Keshari Sahoo
cs.LGq-fin.STstat.MLarXiv:2004.10178v22020
Closed-loop evaluation of LLM agents for embedded software development
Jorge García-Carrasco, Sergio García-Carrasco, Alejandro Maté +1
cs.SEcs.AIcs.ARarXiv:2610.11447v12026
HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals
Zhihao Guo, Zonghan Wu, Huan Huo +6
cs.CLcs.AIarXiv:2608.16353v12026
SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning
Haoqiang Kang, Xiaokang Ye, Yuhan Liu +5
cs.AIarXiv:2605.09423v22026
Beta-Negative Binomial Process and Poisson Factor Analysis
Mingyuan Zhou, Lauren Hannah, David Dunson +1
stat.MLstat.MEarXiv:1112.3605v42011
Dolphins: Multimodal Language Model for Driving
Yingzi Ma, Yulong Cao, Jiachen Sun +2
cs.CVarXiv:2312.00438v12023
Replacing Large Language Models with Jev Decision Models for Low-Latency Edge Service Orchestration
Delong Li, Xu Wang, Haochen Gong +2
cs.DCcs.NIarXiv:2609.22753v22026
GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation
Minkai Xu, Lantao Yu, Yang Song +3
cs.LGq-bio.QMarXiv:2203.02923v12022
SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs
Yige Xu, Xu Guo, Zhiwei Zeng +1
cs.CLarXiv:2502.12134v22025
Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation
Linfeng Zhang, De-Ye Lin, Han Wang +2
physics.comp-phcond-mat.mtrl-scics.LGarXiv:1810.11890v22018
EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration
Ye Wang, Jiahao Xun, Minjie Hong +8
cs.IRarXiv:2406.14017v22024
MobileWorldBench: Towards Semantic World Modeling For Mobile Agents
Shufan Li, Konstantinos Kallidromitis, Akash Gokul +3
cs.AIarXiv:2512.14014v12025
Feature-Guided Black-Box Safety Testing of Deep Neural Networks
Matthew Wicker, Xiaowei Huang, Marta Kwiatkowska
cs.CVarXiv:1710.07859v22017
T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling
Zhenyu Hou, Xin Lv, Rui Lu +6
cs.LGcs.CLarXiv:2501.11651v22025
RIS-based Physical Layer Security for Integrated Sensing and Communication: A Comprehensive Survey
Yongxiao Li, Feroz Khan, Manzoor Ahmed +5
eess.SParXiv:2503.17721v12025
Transformer Interpretability Beyond Attention Visualization
Hila Chefer, Shir Gur, Lior Wolf
cs.CVarXiv:2012.09838v22020
PXDepth: Pixel-Space Modeling for Structure Preserving Monocular Depth Estimation
Zhiyuan Yuan, Guanying Chen, Lingteng Qiu +3
cs.CVcs.AIcs.GRarXiv:2608.16984v12026
Diversity Has Always Been There in Your Visual Autoregressive Models
Tong Wang, Guanyu Yang, Nian Liu +6
cs.CVarXiv:2511.17074v12025
Quantum LDPC and High-Rate CSS Codes from Fair-Density Parity-Check Codes
Hessam Mahdavifar
cs.ITarXiv:2609.01181v12026
4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields
Lishan Yang, Wenxuan Song, Xi Wang +14
cs.ROarXiv:2608.08023v22026
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
Zichen Wen, Shaobo Wang, Yufa Zhou +8
cs.CVarXiv:2510.00515v12025
Elementary processes governing the evolution of road networks
Emanuele Strano, Vincenzo Nicosia, Vito Latora +2
physics.soc-phcond-mat.dis-nnarXiv:1203.0300v12012
Dialog-based Language Learning
Jason Weston
cs.CLarXiv:1604.06045v72016
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
Seungone Kim, Se June Joo, Doyoung Kim +4
cs.CLcs.AIcs.LGarXiv:2305.14045v22023
Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts
Yue Hou, Ruomei Liu, Yingke Su +2
cs.LGarXiv:2610.02795v12026
A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method
Simon Lacoste-Julien, Mark Schmidt, Francis Bach
cs.LGmath.OCstat.MLarXiv:1212.2002v22012
Dynamic Evaluation of Neural Sequence Models
Ben Krause, Emmanuel Kahembwe, Iain Murray +1
cs.NEcs.CLarXiv:1709.07432v22017
ABC random forests for Bayesian parameter inference
Louis Raynal, Jean-Michel Marin, Pierre Pudlo +3
stat.MEstat.COstat.MLarXiv:1605.05537v52016
CoAtNet: Marrying Convolution and Attention for All Data Sizes
Zihang Dai, Hanxiao Liu, Quoc V. Le +1
cs.CVcs.LGarXiv:2106.04803v22021
Black-Box Attacks against RNN based Malware Detection Algorithms
Weiwei Hu, Ying Tan
cs.LGcs.CRarXiv:1705.08131v12017
Non-Ionizing Radiation Analysis in Close Proximity to Antenna Tower: A Case Study in Northeast Brazil
André B. F. Diniz, Vicente A. Souza Jr., Marcio E. C. Rodrigues +3
cs.NIarXiv:2609.36179v12026
polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics
Christopher Kuenneth, Rampi Ramprasad
cond-mat.mtrl-scics.AIcs.LGarXiv:2209.14803v12022
Multi-timescale Nexting in a Reinforcement Learning Robot
Joseph Modayil, Adam White, Richard S. Sutton
cs.LGcs.ROarXiv:1112.1133v32011
Automated Machine Learning: State-of-The-Art and Open Challenges
Radwa Elshawi, Mohamed Maher, Sherif Sakr
cs.LGstat.MLarXiv:1906.02287v22019
Intent Laundering: AI Safety Datasets Are Not What They Seem
Shahriar Golchin, Marc Wetter
cs.CRcs.AIcs.CLarXiv:2602.16729v32026
Towards Measuring and Modeling "Culture" in LLMs: A Survey
Muhammad Farid Adilazuarda, Sagnik Mukherjee, Pradhyumna Lavania +5
cs.CYcs.AIcs.CLarXiv:2403.15412v52024
Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?
Owura Asare, Meiyappan Nagappan, N. Asokan
cs.SEcs.CRarXiv:2204.04741v52022
Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition
Zihan Zhang, Yuan Zhou, Xiangyang Ji
cs.LGcs.DSstat.MLarXiv:2004.10019v22020
Lifelong Learning of Large Language Model based Agents: A Roadmap
Junhao Zheng, Chengming Shi, Xidi Cai +5
cs.AIarXiv:2501.07278v22025
Co-Evolving Actor-Conditioned Critics for Non-Verifiable Generation
Jinyoung Kim, Muhammad Khalifa, Lajanugen Logeswaran +4
cs.CLarXiv:2608.30397v12026
Joint Spatial Division and Multiplexing for mm-Wave Channels
Ansuman Adhikary, Ebrahim Al Safadi, Mathew Samimi +4
cs.ITarXiv:1312.2045v32013
Raising the Bar of AI-generated Image Detection with CLIP
Davide Cozzolino, Giovanni Poggi, Riccardo Corvi +2
cs.CVarXiv:2312.00195v22023
Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications
Li Qiao, Mahdi Boloursaz Mashhadi, Zhen Gao +3
cs.MMcs.CVcs.ITarXiv:2502.12096v52025
Computational Work Extraction: The Complexity of Catalysts
Atul Singh Arora, Shantanav Chakraborty, Alexandru Cojocaru +2
quant-phcs.CCarXiv:2609.40323v12026
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
Jonas Golde, Patrick Haller, Alan Akbik
cs.CLarXiv:2512.13884v12025
Graph Denoising Diffusion for Inverse Protein Folding
Kai Yi, Bingxin Zhou, Yiqing Shen +2
q-bio.QMcs.AIarXiv:2306.16819v22023
Principled Thoughts for Latent Recursive LLM Systems
Fahd Seddik, Fatemeh Fard
cs.AIcs.CLcs.LGarXiv:2609.36159v12026
V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation
Yan-Bo Lin, Jonah Casebeer, Long Mai +3
cs.CVcs.AIcs.LGarXiv:2603.11042v22026
Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training
Siyu Yuan, Zehui Chen, Zhiheng Xi +3
cs.AIarXiv:2501.11425v32025
WorldGen: From Text to Traversable and Interactive 3D Worlds
Dilin Wang, Hyunyoung Jung, Tom Monnier +22
cs.CVcs.AIarXiv:2511.16825v12025

Every paper with a summary

Psyche-R1: Towards Reliable Psychological LLMs through Unified Empathy, Expertise, and Reasoning

Backdoor Attack in the Physical World

Holistic Data Scheduler for LLM Pre-training via Multi-Objective Reinforcement Learning

Generating Sentences by Editing Prototypes

Understanding Multimodal Failure in Action-Chunking Behavioral Cloning

Season-Aware Hybrid Convolutional-Transformer for Antarctic Sea Ice Concentration Forecasting

Revisiting Gradient Clipping: Stochastic bias and tight convergence guarantees

VAFL: a Method of Vertical Asynchronous Federated Learning

SNAP: Stateful Network-Wide Abstractions for Packet Processing

Self-Improvement Towards Pareto Optimality: Mitigating Preference Conflicts in Multi-Objective Alignment

Forecasting directional movements of stock prices for intraday trading using LSTM and random forests

Closed-loop evaluation of LLM agents for embedded software development

HalluTracer: Hallucination Detection via Depth-Averaging Truth Signals

SimWorld Studio: Automatic Environment Generation with Evolving Coding Agent for Embodied Agent Learning

Beta-Negative Binomial Process and Poisson Factor Analysis

Dolphins: Multimodal Language Model for Driving

Replacing Large Language Models with Jev Decision Models for Low-Latency Edge Service Orchestration

GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

SoftCoT: Soft Chain-of-Thought for Efficient Reasoning with LLMs

Active Learning of Uniformly Accurate Inter-atomic Potentials for Materials Simulation

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration

MobileWorldBench: Towards Semantic World Modeling For Mobile Agents

Feature-Guided Black-Box Safety Testing of Deep Neural Networks

T1: Advancing Language Model Reasoning through Reinforcement Learning and Inference Scaling

RIS-based Physical Layer Security for Integrated Sensing and Communication: A Comprehensive Survey

Transformer Interpretability Beyond Attention Visualization

PXDepth: Pixel-Space Modeling for Structure Preserving Monocular Depth Estimation

Diversity Has Always Been There in Your Visual Autoregressive Models

Quantum LDPC and High-Rate CSS Codes from Fair-Density Parity-Check Codes

4D-WAM: Infusing Spatiotemporal Awareness into World Action Models through Trajectory Fields

Efficient Multi-modal Large Language Models via Progressive Consistency Distillation

Elementary processes governing the evolution of road networks

Dialog-based Language Learning

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning

Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts

A simpler approach to obtaining an O(1/t) convergence rate for the projected stochastic subgradient method

Dynamic Evaluation of Neural Sequence Models

ABC random forests for Bayesian parameter inference

CoAtNet: Marrying Convolution and Attention for All Data Sizes

Black-Box Attacks against RNN based Malware Detection Algorithms

Non-Ionizing Radiation Analysis in Close Proximity to Antenna Tower: A Case Study in Northeast Brazil

polyBERT: A chemical language model to enable fully machine-driven ultrafast polymer informatics

Multi-timescale Nexting in a Reinforcement Learning Robot

Automated Machine Learning: State-of-The-Art and Open Challenges

Intent Laundering: AI Safety Datasets Are Not What They Seem

Towards Measuring and Modeling "Culture" in LLMs: A Survey

Is GitHub's Copilot as Bad as Humans at Introducing Vulnerabilities in Code?

Almost Optimal Model-Free Reinforcement Learning via Reference-Advantage Decomposition

Lifelong Learning of Large Language Model based Agents: A Roadmap

Co-Evolving Actor-Conditioned Critics for Non-Verifiable Generation

Joint Spatial Division and Multiplexing for mm-Wave Channels

Raising the Bar of AI-generated Image Detection with CLIP

Token Communications: A Large Model-Driven Framework for Cross-modal Context-aware Semantic Communications

Computational Work Extraction: The Complexity of Catalysts

FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition

Graph Denoising Diffusion for Inverse Protein Folding

Principled Thoughts for Latent Recursive LLM Systems

V2M-Zero: Zero-Pair Time-Aligned Video-to-Music Generation

Agent-R: Training Language Model Agents to Reflect via Iterative Self-Training

WorldGen: From Text to Traversable and Interactive 3D Worlds