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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51,061 to 51,120 of 119,609

OpenClaw-RL: Train Any Agent Simply by Talking
Yinjie Wang, Xuyang Chen, Xiaolong Jin +2
cs.CLcs.AIcs.CVarXiv:2603.10165v22026
A Novel Steganography Scheme Using Quantum Hilbert Transform
Nitin Jha, Abhishek Parakh
quant-phcs.CRcs.ITarXiv:2609.07894v12026
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng, Zhaohui Wang, Muhan Zhang
cs.LGcs.AIarXiv:2404.02948v42024
Do Language Models Reason Across Languages?
Yan Meng, Wafaa Mohammed, Christof Monz
cs.CLcs.AIarXiv:2601.06644v22026
MVTN: Multi-View Transformation Network for 3D Shape Recognition
Abdullah Hamdi, Silvio Giancola, Bernard Ghanem
cs.CVcs.LGarXiv:2011.13244v32020
Recurrent Harness for Agentic Continual Learning
Yuxin Xiao, Zhiyun Lu, Jianyu Wang +4
cs.LGcs.AIcs.CLarXiv:2610.12668v12026
Simulating Environments with Reasoning Models for Agent Training
Yuetai Li, Huseyin A Inan, Xiang Yue +6
cs.AIcs.LGarXiv:2511.01824v12025
Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting
Muxi Diao, Lele Yang, Wuxuan Gong +6
cs.LGcs.AIcs.CLarXiv:2601.02151v12026
BLOCKBENCH: A Framework for Analyzing Private Blockchains
Tien Tuan Anh Dinh, Ji Wang, Gang Chen +3
cs.DBcs.CRcs.DCarXiv:1703.04057v12017
Correlated variables in regression: clustering and sparse estimation
Peter Bühlmann, Philipp Rütimann, Sara van de Geer +1
stat.MEmath.STarXiv:1209.5908v12012
On the well-posedness and efficient approximation for the classical Melan equation in suspension bridges
Jinxiang Wang
math.NAcs.NAmath.CAarXiv:2609.08912v12026
Training AI Co-Scientists Using Rubric Rewards
Shashwat Goel, Rishi Hazra, Dulhan Jayalath +8
cs.LGcs.CLcs.HCarXiv:2512.23707v12025
Smooth Loss Functions for Deep Top-k Classification
Leonard Berrada, Andrew Zisserman, M. Pawan Kumar
cs.LGarXiv:1802.07595v12018
Self-playing Adversarial Language Game Enhances LLM Reasoning
Pengyu Cheng, Tianhao Hu, Han Xu +6
cs.CLcs.LGarXiv:2404.10642v32024
Uncertainty Modeling for Out-of-Distribution Generalization
Xiaotong Li, Yongxing Dai, Yixiao Ge +3
cs.CVcs.LGarXiv:2202.03958v22022
Underwater Ranker: Learn Which Is Better and How to Be Better
Chunle Guo, Ruiqi Wu, Xin Jin +4
cs.CVarXiv:2208.06857v22022
Linear representations in language models can change dramatically over a conversation
Andrew Kyle Lampinen, Yuxuan Li, Eghbal Hosseini +2
cs.CLcs.LGarXiv:2601.20834v22026
Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes
Liang Liao, Jing Xiao, Zheng Wang +2
cs.CVarXiv:2003.06877v32020
LExT: Towards Evaluating Trustworthiness of Natural Language Explanations
Krithi Shailya, Shreya Rajpal, Gokul S Krishnan +1
cs.CLarXiv:2504.06227v12025
ALPS: Measuring Valid Creativity in Large Language Models with Mathematical Construction
Eric Xie, Wenqian Ye, Aidong Zhang
cs.AIarXiv:2608.15979v12026
A Survey of Multi-Objective Sequential Decision-Making
Diederik Marijn Roijers, Peter Vamplew, Shimon Whiteson +1
cs.AIarXiv:1402.0590v12014
Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs
Xingyu Fu, Siyi Liu, Yinuo Xu +13
cs.CVcs.AIcs.CLarXiv:2509.22646v22025
Maximum Classifier Discrepancy for Unsupervised Domain Adaptation
Kuniaki Saito, Kohei Watanabe, Yoshitaka Ushiku +1
cs.CVarXiv:1712.02560v42017
Self-Interference Cancellation with Nonlinear Distortion Suppression for Full-Duplex Systems
Elsayed Ahmed, Ahmed M. Eltawil, Ashutosh Sabharwal
cs.ITmath.ITarXiv:1307.3796v22013
High-Fidelity GAN Inversion for Image Attribute Editing
Tengfei Wang, Yong Zhang, Yanbo Fan +2
cs.CVarXiv:2109.06590v42021
RedPajama: an Open Dataset for Training Large Language Models
Maurice Weber, Daniel Fu, Quentin Anthony +16
cs.CLcs.LGarXiv:2411.12372v12024
Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict
Jungyeon Lee, Yejin Yoon, Taeuk Kim
cs.CLarXiv:2609.00550v12026
Explorations in Homeomorphic Variational Auto-Encoding
Luca Falorsi, Pim de Haan, Tim R. Davidson +4
stat.MLcs.LGarXiv:1807.04689v12018
Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning
Yuanpei Chen, Tianhao Wu, Shengjie Wang +8
cs.ROcs.AIcs.LGarXiv:2206.08686v22022
The Quantization Model of Neural Scaling
Eric J. Michaud, Ziming Liu, Uzay Girit +1
cs.LGcond-mat.dis-nnarXiv:2303.13506v32023
Simple Bayesian Algorithms for Best Arm Identification
Daniel Russo
cs.LGarXiv:1602.08448v42016
BatchTopK Sparse Autoencoders
Bart Bussmann, Patrick Leask, Neel Nanda
cs.LGcs.AIstat.MLarXiv:2412.06410v12024
FeatCal: Feature Calibration for Post-Merging Models
Yanggan Gu, Shuo Cai, Zihao Wang +7
cs.LGcs.AIarXiv:2605.13030v12026
Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation
Li Liu, Qingle Huang, Sihao Lin +4
cs.CVcs.AIarXiv:2202.03680v12022
CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network
Jie Wen, Zheng Zhang, Yong Xu +3
cs.CVcs.LGarXiv:2403.19514v12024
Semidefinite Relaxations for Best Rank-1 Tensor Approximations
Jiawang Nie, Li Wang
math.NAcs.NAmath.OCarXiv:1308.6562v22013
An Empirical Study of Reward Specification and Benchmark Reliability in GRPO-based LLM Unlearning
Rubén Balbastre, Juan Manuel Orduña, Mariano Pérez
cs.LGcs.CLarXiv:2608.17804v12026
Black holes and core expansion in massive star clusters
A. D. Mackey, M. I. Wilkinson, M. B. Davies +1
astro-pharXiv:0802.0513v12008
Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation
C. Daniel Freeman, Erik Frey, Anton Raichuk +3
cs.ROcs.AIarXiv:2106.13281v12021
Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention
Siyu Wu, Linjing You, Junjie Zhu +9
cs.ROarXiv:2606.26663v32026
Why Didn't It Check? Unsupported Final Claims and Their Repair in Two Tool-Equipped Language Models
Justin Bronder
cs.AIcs.CLarXiv:2608.27768v12026
Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI
Sharan Maiya, Henning Bartsch, Nathan Lambert +1
cs.CLcs.AIcs.LGarXiv:2511.01689v12025
Graph Contrastive Clustering
Huasong Zhong, Jianlong Wu, Chong Chen +5
cs.CVarXiv:2104.01429v12021
An efficient reconciliation algorithm for social networks
Nitish Korula, Silvio Lattanzi
cs.DScs.SIarXiv:1307.1690v22013
Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder
Zidan Wang, Yaqian Li, Xiaokai Zhang +3
cs.CVcs.AIarXiv:2610.11374v12026
Building the Truman Show: A TrustZone-Based Framework for Lightweight Out-of-band Kernel Security Monitoring
Zhenling Duan, Pan Dong, Renshuang Jiang +2
cs.CRcs.SEarXiv:2608.29758v12026
AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning
Shihao Cai, Runnan Fang, Jialong Wu +10
cs.CLcs.AIarXiv:2512.22857v12025
A Banach-Space Theory of Markovian Halpern Iteration for Non-Expansive Maps
Ege C. Kaya, Arda Fazla, M. Berk Sahin +1
cs.LGmath.OCarXiv:2608.15966v12026
Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English
Su Lin Blodgett, Brendan O'Connor
cs.CYcs.CLarXiv:1707.00061v12017
Consensus+Innovations Distributed Kalman Filter with Optimized Gains
Subhro Das, José M. F. Moura
cs.ITcs.SYeess.SYarXiv:1605.06096v22016
CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments
Antonius Bima Murti Wijaya, Paul Henderson, Marwa Mahmoud
cs.CVarXiv:2609.07685v12026
Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models
Jinhao Duan, Hao Cheng, Shiqi Wang +5
cs.CLcs.AIcs.LGarXiv:2307.01379v32023
AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs
Yihan Wang, Huanqi Yang, Shantanu Pal +1
cs.CRarXiv:2512.20986v12025
Natasha 2: Faster Non-Convex Optimization Than SGD
Zeyuan Allen-Zhu
math.OCcs.DScs.LGarXiv:1708.08694v42017
Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks
Jianshu Chen, Ali H. Sayed
math.OCcs.ITcs.LGarXiv:1111.0034v32011
Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning
Ye-Chan Kim, Seunghee Choi, SeungJu Cha +4
cs.CVcs.AIarXiv:2609.04183v12026
Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models
Xingwei Tan, Marco Valentino, Mahmud Elahi Akhter +3
cs.CLcs.AIarXiv:2604.27251v22026
Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention
Ashutosh Agarwal, Chetan Arora
cs.CVarXiv:2210.09071v12022
Automated Unit Test Improvement using Large Language Models at Meta
Nadia Alshahwan, Jubin Chheda, Anastasia Finegenova +6
cs.SEarXiv:2402.09171v12024
Visual Saliency Transformer
Nian Liu, Ni Zhang, Kaiyuan Wan +2
cs.CVarXiv:2104.12099v22021

Every paper with a summary

OpenClaw-RL: Train Any Agent Simply by Talking

A Novel Steganography Scheme Using Quantum Hilbert Transform

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models

Do Language Models Reason Across Languages?

MVTN: Multi-View Transformation Network for 3D Shape Recognition

Recurrent Harness for Agentic Continual Learning

Simulating Environments with Reasoning Models for Agent Training

Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting

BLOCKBENCH: A Framework for Analyzing Private Blockchains

Correlated variables in regression: clustering and sparse estimation

On the well-posedness and efficient approximation for the classical Melan equation in suspension bridges

Training AI Co-Scientists Using Rubric Rewards

Smooth Loss Functions for Deep Top-k Classification

Self-playing Adversarial Language Game Enhances LLM Reasoning

Uncertainty Modeling for Out-of-Distribution Generalization

Underwater Ranker: Learn Which Is Better and How to Be Better

Linear representations in language models can change dramatically over a conversation

Guidance and Evaluation: Semantic-Aware Image Inpainting for Mixed Scenes

LExT: Towards Evaluating Trustworthiness of Natural Language Explanations

ALPS: Measuring Valid Creativity in Large Language Models with Mathematical Construction

A Survey of Multi-Objective Sequential Decision-Making

Learning Human-Perceived Fakeness in AI-Generated Videos via Multimodal LLMs

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Self-Interference Cancellation with Nonlinear Distortion Suppression for Full-Duplex Systems

High-Fidelity GAN Inversion for Image Attribute Editing

RedPajama: an Open Dataset for Training Large Language Models

Same Semantics, Different Outcome: On the Modality Robustness of Multimodal LLMs under Knowledge Conflict

Explorations in Homeomorphic Variational Auto-Encoding

Towards Human-Level Bimanual Dexterous Manipulation with Reinforcement Learning

The Quantization Model of Neural Scaling

Simple Bayesian Algorithms for Best Arm Identification

BatchTopK Sparse Autoencoders

FeatCal: Feature Calibration for Post-Merging Models

Exploring Inter-Channel Correlation for Diversity-preserved KnowledgeDistillation

CDIMC-net: Cognitive Deep Incomplete Multi-view Clustering Network

Semidefinite Relaxations for Best Rank-1 Tensor Approximations

An Empirical Study of Reward Specification and Benchmark Reliability in GRPO-based LLM Unlearning

Black holes and core expansion in massive star clusters

Brax -- A Differentiable Physics Engine for Large Scale Rigid Body Simulation

Tactile-WAM: Touch-Aware World Action Model with Tactile Asymmetric Attention

Why Didn't It Check? Unsupported Final Claims and Their Repair in Two Tool-Equipped Language Models

Open Character Training: Shaping the Persona of AI Assistants through Constitutional AI

Graph Contrastive Clustering

An efficient reconciliation algorithm for social networks

Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

Building the Truman Show: A TrustZone-Based Framework for Lightweight Out-of-band Kernel Security Monitoring

AutoForge: Automated Environment Synthesis for Agentic Reinforcement Learning

A Banach-Space Theory of Markovian Halpern Iteration for Non-Expansive Maps

Racial Disparity in Natural Language Processing: A Case Study of Social Media African-American English

Consensus+Innovations Distributed Kalman Filter with Optimized Gains

CrowdTraj: A Benchmark for Dense Crowd Trajectory Prediction in Realistic Crowded Environments

Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

AegisAgent: An Autonomous Defense Agent Against Prompt Injection Attacks in LLM-HARs

Natasha 2: Faster Non-Convex Optimization Than SGD

Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks

Seeing Before Synthesizing: VLM-Guided Transition Event Discovery for Weakly-Supervised Dense Video Captioning

Compliance versus Sensibility: On the Reasoning Controllability in Large Language Models

Attention Attention Everywhere: Monocular Depth Prediction with Skip Attention

Automated Unit Test Improvement using Large Language Models at Meta

Visual Saliency Transformer