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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20,221 to 20,280 of 61,393

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators
Xiangxiang Chu, Xiaoxing Wang, Bo Zhang +3
cs.LGcs.AIcs.CVarXiv:2009.01027v22020
Small Models Struggle to Learn from Strong Reasoners
Yuetai Li, Xiang Yue, Zhangchen Xu +5
cs.AIarXiv:2502.12143v32025
Scaling Spatial Intelligence with Multimodal Foundation Models
Zhongang Cai, Ruisi Wang, Chenyang Gu +26
cs.CVcs.AIcs.LGarXiv:2511.13719v42025
Accelerated Methods for Non-Convex Optimization
Yair Carmon, John C. Duchi, Oliver Hinder +1
math.OCcs.DSarXiv:1611.00756v22016
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng, Haoyu Dong, Zhiruo Wang +6
cs.CLcs.IRarXiv:2108.06712v32021
Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
Yinjie Wang, Ling Yang, Bowen Li +3
cs.CLarXiv:2509.06949v12025
Iterative Filter Adaptive Network for Single Image Defocus Deblurring
Junyong Lee, Hyeongseok Son, Jaesung Rim +2
cs.CVeess.IVarXiv:2108.13610v22021
Unsupervised Traffic Accident Detection in First-Person Videos
Yu Yao, Mingze Xu, Yuchen Wang +2
cs.CVarXiv:1903.00618v42019
Sequential Diagnosis with Language Models
Harsha Nori, Mayank Daswani, Christopher Kelly +12
cs.CLarXiv:2506.22405v22025
KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics
Benjamin C. Koenig, Suyong Kim, Sili Deng
cs.LGarXiv:2407.04192v32024
Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control
Ying Jun, Zhang, Changhong Zhao +2
eess.SYarXiv:1604.00952v12016
HD-EPIC: A Highly-Detailed Egocentric Video Dataset
Toby Perrett, Ahmad Darkhalil, Saptarshi Sinha +16
cs.CVarXiv:2502.04144v22025
Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression
Jung Yi, Wooseok Jang, Paul Hyunbin Cho +3
cs.CVarXiv:2512.05081v12025
Understanding Reasoning in Thinking Language Models via Steering Vectors
Constantin Venhoff, Iván Arcuschin, Philip Torr +2
cs.LGcs.AIarXiv:2506.18167v42025
VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models
Hila Chefer, Uriel Singer, Amit Zohar +5
cs.CVarXiv:2502.02492v22025
A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data
Andres F. Monsalve, Hernan A. Moreno, Christian D. Kummerow
physics.ao-phcs.CVstat.AParXiv:2609.01514v12026
Learning to Compose Task-Specific Tree Structures
Jihun Choi, Kang Min Yoo, Sang-goo Lee
cs.CLarXiv:1707.02786v42017
VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use
Dongfu Jiang, Yi Lu, Zhuofeng Li +9
cs.AIcs.CLcs.CVarXiv:2509.01055v32025
Multi-Agent Collaboration via Evolving Orchestration
Yufan Dang, Chen Qian, Xueheng Luo +11
cs.CLcs.AIcs.MAarXiv:2505.19591v22025
What Can We Learn from Collective Human Opinions on Natural Language Inference Data?
Yixin Nie, Xiang Zhou, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:2010.03532v22020
Orthogonal Delay-Doppler Division Multiplexing Modulation
Hai Lin, Jinhong Yuan
cs.ITeess.SParXiv:2206.13999v22022
A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning
Shaopeng Zhai, Qi Zhang, Tianyi Zhang +7
cs.ROcs.AIarXiv:2509.15937v12025
Can Large Language Models Forecast What Researchers Study Next?
Fenghai Li, Zihan Tang, Haofei Yu +2
cs.CLarXiv:2609.00747v12026
CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings
Shanghaoran Quan, Jiaxi Yang, Bowen Yu +14
cs.CLarXiv:2501.01257v22025
Advanced Pixel Diffusion Model with Guided Sparse Global Refinement
Weiyi You, Jinhua Zhang, Xingyu Zhou +3
cs.CVarXiv:2609.00798v12026
CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN
Pranshav Gajjar, Vijay K Shah
cs.LGarXiv:2609.00590v12026
Representation learning for very short texts using weighted word embedding aggregation
Cedric De Boom, Steven Van Canneyt, Thomas Demeester +1
cs.IRcs.CLarXiv:1607.00570v12016
Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think
Ge Wu, Shen Zhang, Ruijing Shi +9
cs.CVarXiv:2507.01467v22025
VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference
Jiaming Tang, Yufei Sun, Yilong Zhao +7
cs.ROcs.AIcs.LGarXiv:2512.01031v22025
Measuring the environmental impact of delivering AI at Google Scale
Cooper Elsworth, Keguo Huang, David Patterson +9
cs.AIarXiv:2508.15734v12025
SmBoP: Semi-autoregressive Bottom-up Semantic Parsing
Ohad Rubin, Jonathan Berant
cs.CLarXiv:2010.12412v22020
Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering
Vahid Kazemi, Ali Elqursh
cs.CVarXiv:1704.03162v22017
MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC
Seongkyu Yang, Hyeonho Noh, Hyun Jong Yang +1
cs.CReess.SParXiv:2609.00786v12026
Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Huichi Zhou, Yihang Chen, Siyuan Guo +8
cs.LGcs.CLarXiv:2508.16153v22025
Guarantees for Spectral Clustering with Fairness Constraints
Matthäus Kleindessner, Samira Samadi, Pranjal Awasthi +1
stat.MLcs.DScs.LGarXiv:1901.08668v22019
Neural Transfer Learning for Repairing Security Vulnerabilities in C Code
Zimin Chen, Steve Kommrusch, Martin Monperrus
cs.SEcs.CRcs.LGarXiv:2104.08308v32021
Zero-Shot Noise2Noise: Efficient Image Denoising without any Data
Youssef Mansour, Reinhard Heckel
cs.CVarXiv:2303.11253v32023
Latent Diffusion Model without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng +6
cs.CVcs.AIarXiv:2510.15301v42025
Global-Locally Self-Attentive Dialogue State Tracker
Victor Zhong, Caiming Xiong, Richard Socher
cs.CLcs.AIarXiv:1805.09655v32018
One-Shot Object Detection with Co-Attention and Co-Excitation
Ting-I Hsieh, Yi-Chen Lo, Hwann-Tzong Chen +1
cs.CVcs.LGeess.IVarXiv:1911.12529v12019
YuE: Scaling Open Foundation Models for Long-Form Music Generation
Ruibin Yuan, Hanfeng Lin, Shuyue Guo +55
eess.AScs.AIcs.MMarXiv:2503.08638v22025
Differential Privacy for Functions and Functional Data
Rob Hall, Alessandro Rinaldo, Larry Wasserman
stat.MLcs.LGarXiv:1203.2570v12012
MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition
Junyao Gao, Sibo Liu, Jiaxing Li +4
cs.CVarXiv:2609.01423v22026
Constructive Discrepancy Minimization by Walking on The Edges
Shachar Lovett, Raghu Meka
cs.DScs.DMmath.COarXiv:1203.5747v22012
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
Approximate evaluation of marginal association probabilities with belief propagation
Jason L. Williams, Roslyn A. Lau
cs.AIcs.CVarXiv:1209.6299v22012
Training Neural Machine Translation To Apply Terminology Constraints
Georgiana Dinu, Prashant Mathur, Marcello Federico +1
cs.CLcs.AIcs.LGarXiv:1906.01105v22019
JudgeLRM: Large Reasoning Models as a Judge
Nuo Chen, Zhiyuan Hu, Qingyun Zou +4
cs.CLcs.AIarXiv:2504.00050v32025
One-Pass AUC Optimization
Wei Gao, Rong Jin, Shenghuo Zhu +1
cs.LGarXiv:1305.1363v22013
Residual Kalman Dynamics for Event-Based UAV Forecasting
Per Nyblom, Hannes Ovrén, David Gustafsson
cs.CVarXiv:2609.00839v12026
Learning Multi-scale Features for Foreground Segmentation
Long Ang Lim, Hacer Yalim Keles
cs.CVarXiv:1808.01477v12018
Learning from Failure: Training Debiased Classifier from Biased Classifier
Junhyun Nam, Hyuntak Cha, Sungsoo Ahn +2
cs.LGstat.MLarXiv:2007.02561v22020
EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling
Xin Luo, Jiahao Wang, Chenyuan Wu +6
cs.CVarXiv:2509.23909v32025
Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures
Lars Ødegaard Bentsen, Narada Dilp Warakagoda, Roy Stenbro +1
cs.LGcs.AIarXiv:2208.13585v22022
Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems
Akshay Ajagekar, Travis Humble, Fengqi You
quant-phcs.AImath.OCarXiv:1910.13045v12019
S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models
Muzhi Dai, Chenxu Yang, Qingyi Si
cs.AIcs.LGarXiv:2505.07686v22025
On the Diagnostic of Road Pathway Visibility
Pierre Charbonnier, Jean-Philippe Tarel, Francois Goulette
cs.CVarXiv:1601.05535v12016
BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI
Krish Patel, Peirong Liu
cs.CVarXiv:2609.00593v22026
Filamentary Switching: Synaptic Plasticity through Device Volatility
Selina La Barbera, Dominique Vuillaume, Fabien Alibart
physics.bio-phcond-mat.mes-hallq-bio.NCarXiv:1505.04397v12015
Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning
Ang Li, Charles Wang, Deqing Fu +9
cs.CVcs.CLcs.LGarXiv:2507.16746v22025

Every paper with a summary

DARTS-: Robustly Stepping out of Performance Collapse Without Indicators

Small Models Struggle to Learn from Strong Reasoners

Scaling Spatial Intelligence with Multimodal Foundation Models

Accelerated Methods for Non-Convex Optimization

HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models

Iterative Filter Adaptive Network for Single Image Defocus Deblurring

Unsupervised Traffic Accident Detection in First-Person Videos

Sequential Diagnosis with Language Models

KAN-ODEs: Kolmogorov-Arnold Network Ordinary Differential Equations for Learning Dynamical Systems and Hidden Physics

Profit-Maximizing Planning and Control of Battery Energy Storage Systems for Primary Frequency Control

HD-EPIC: A Highly-Detailed Egocentric Video Dataset

Deep Forcing: Training-Free Long Video Generation with Deep Sink and Participative Compression

Understanding Reasoning in Thinking Language Models via Steering Vectors

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models

A Sensor-Adaptive Incremental Learning Framework for Artifact Detection in Satellite Precipitation Data

Learning to Compose Task-Specific Tree Structures

VerlTool: Towards Holistic Agentic Reinforcement Learning with Tool Use

Multi-Agent Collaboration via Evolving Orchestration

What Can We Learn from Collective Human Opinions on Natural Language Inference Data?

Orthogonal Delay-Doppler Division Multiplexing Modulation

A Vision-Language-Action-Critic Model for Robotic Real-World Reinforcement Learning

Can Large Language Models Forecast What Researchers Study Next?

CodeElo: Benchmarking Competition-level Code Generation of LLMs with Human-comparable Elo Ratings

Advanced Pixel Diffusion Model with Guided Sparse Global Refinement

CRAFT: Fine-Tuning Pre-hoc Explainability in AI-native 6G RAN

Representation learning for very short texts using weighted word embedding aggregation

Representation Entanglement for Generation: Training Diffusion Transformers Is Much Easier Than You Think

VLASH: Real-Time VLAs via Future-State-Aware Asynchronous Inference

Measuring the environmental impact of delivering AI at Google Scale

SmBoP: Semi-autoregressive Bottom-up Semantic Parsing

Show, Ask, Attend, and Answer: A Strong Baseline For Visual Question Answering

MROP: Mask-Region Optimized Purification Against Backdoor Attack in Deep JSCC

Memento: Fine-tuning LLM Agents without Fine-tuning LLMs

Guarantees for Spectral Clustering with Fairness Constraints

Neural Transfer Learning for Repairing Security Vulnerabilities in C Code

Zero-Shot Noise2Noise: Efficient Image Denoising without any Data

Latent Diffusion Model without Variational Autoencoder

Global-Locally Self-Attentive Dialogue State Tracker

One-Shot Object Detection with Co-Attention and Co-Excitation

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Differential Privacy for Functions and Functional Data

MegaStyle++: Scaling Image Style Space through Hierarchical Style Definition

Constructive Discrepancy Minimization by Walking on The Edges

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

Approximate evaluation of marginal association probabilities with belief propagation

Training Neural Machine Translation To Apply Terminology Constraints

JudgeLRM: Large Reasoning Models as a Judge

One-Pass AUC Optimization

Residual Kalman Dynamics for Event-Based UAV Forecasting

Learning Multi-scale Features for Foreground Segmentation

Learning from Failure: Training Debiased Classifier from Biased Classifier

EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling

Spatio-Temporal Wind Speed Forecasting using Graph Networks and Novel Transformer Architectures

Quantum Computing based Hybrid Solution Strategies for Large-scale Discrete-Continuous Optimization Problems

S-GRPO: Early Exit via Reinforcement Learning in Reasoning Models

On the Diagnostic of Road Pathway Visibility

BrainDiff: Longitudinal Report Generation for Multimodal Brain MRI

Filamentary Switching: Synaptic Plasticity through Device Volatility

Zebra-CoT: A Dataset for Interleaved Vision Language Reasoning