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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57,841 to 57,900 of 115,845

EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory
Ziyun Zeng, Hang Hua, Shaden Alshammari +3
cs.CVarXiv:2609.37923v12026
Funnel of Thoughts: Efficient Test-Time Scaling via Early Voting and Rollout Pruning
Chanhee Park, Sungbin Han, Jeongho Yoon +2
cs.AIarXiv:2608.15065v12026
MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension
Adam Fisch, Alon Talmor, Robin Jia +3
cs.CLarXiv:1910.09753v22019
Compositional Questions Do Not Necessitate Multi-hop Reasoning
Sewon Min, Eric Wallace, Sameer Singh +3
cs.CLcs.AIarXiv:1906.02900v12019
Bridging direct & indirect data-driven control formulations via regularizations and relaxations
Florian Dörfler, Jeremy Coulson, Ivan Markovsky
math.OCarXiv:2101.01273v22021
A Fast Post-Training Pruning Framework for Transformers
Woosuk Kwon, Sehoon Kim, Michael W. Mahoney +3
cs.CLcs.LGarXiv:2204.09656v22022
Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR
Utkarsh Tyagi, Xingang Guo, MohammadHossein Rezaei +5
cs.AIarXiv:2605.20164v12026
Deep neural network models for computational histopathology: A survey
Chetan L. Srinidhi, Ozan Ciga, Anne L. Martel
eess.IVcs.CVcs.LGarXiv:1912.12378v22019
A Note on Over-Smoothing for Graph Neural Networks
Chen Cai, Yusu Wang
cs.LGstat.MLarXiv:2006.13318v12020
A Survey on Wireless Security: Technical Challenges, Recent Advances and Future Trends
Yulong Zou, Jia Zhu, Xianbin Wang +1
cs.ITcs.CRarXiv:1505.07919v22015
IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering
JungMin Yun, YoungBin Kim
cs.CLcs.AIarXiv:2608.13588v12026
Learning A Sparse Transformer Network for Effective Image Deraining
Xiang Chen, Hao Li, Mingqiang Li +1
cs.CVarXiv:2303.11950v12023
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
Tiansheng Huang, Weiwei Lin, Wentai Wu +3
cs.LGcs.DCarXiv:2011.01783v52020
Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges
Mennatullah Siam, Sara Elkerdawy, Martin Jagersand +1
stat.MLcs.CVarXiv:1707.02432v22017
MEMENTO: Teaching LLMs to Manage Their Own Context
Vasilis Kontonis, Yuchen Zeng, Shivam Garg +7
cs.AIcs.LGarXiv:2604.09852v12026
A Survey on Graph-Based Deep Learning for Computational Histopathology
David Ahmedt-Aristizabal, Mohammad Ali Armin, Simon Denman +2
cs.LGcs.CVq-bio.TOarXiv:2107.00272v22021
AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research
Yilun Zhao, Weiyuan Chen, Zhijian Xu +5
cs.CLcs.AIarXiv:2507.13300v12025
Fully dynamic maximal matching in O(log n) update time
Surender Baswana, Manoj Gupta, Sandeep Sen
cs.DSarXiv:1103.1109v42011
Tensor Regression with Applications in Neuroimaging Data Analysis
Hua Zhou, Lexin Li, Hongtu Zhu
stat.MEarXiv:1203.3209v12012
Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System
Ding Zou, Wei Wei, Xian-Ling Mao +4
cs.IRarXiv:2204.08807v12022
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
Alexander Hanbo Li, Mingyue Shang, Evangelia Spiliopoulou +9
cs.CLarXiv:2308.05317v12023
Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR
Shashi Kumar, Esaú Villatoro-Tello, Sergio Burdisso +7
cs.CLcs.AIcs.LGarXiv:2603.26246v12026
Online Learning for Time Series Prediction
Oren Anava, Elad Hazan, Shie Mannor +1
cs.LGarXiv:1302.6927v12013
A Causal Model for Locating and Unlocking Sandbagging in Model Organisms
Hong Kiat Tan, Linh Le, David Williams-King
cs.LGarXiv:2608.29461v12026
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
Timo Schick, Hinrich Schütze
cs.CLcs.AIcs.LGarXiv:2009.07118v22020
Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields
Jonathan T. Barron, Ben Mildenhall, Dor Verbin +2
cs.CVcs.GRarXiv:2111.12077v32021
ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation
Jiuhong Xiao, Roshan Nayak, Ning Zhang +2
cs.CVcs.ROarXiv:2509.24878v12025
DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing
Yujun Shi, Chuhui Xue, Jun Hao Liew +5
cs.CVcs.LGarXiv:2306.14435v62023
Weakly-Supervised Camouflaged Object Detection with Scribble Annotations
Ruozhen He, Qihua Dong, Jiaying Lin +1
cs.CVarXiv:2207.14083v22022
SignRR: Retrieve and Refine Real Motion for Sign Language Production
Fidel Omar Tito Cruz, Angie Sanchez Marquina, Summy Farfan +1
cs.CVarXiv:2608.28568v12026
The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence
Peter Slattery, Alexander K. Saeri, Emily A. C. Grundy +7
cs.AIcs.CRcs.ETarXiv:2408.12622v32024
Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges
Rob Ashmore, Radu Calinescu, Colin Paterson
cs.LGcs.SEstat.MLarXiv:1905.04223v12019
Functorial evolution of quantum fields
Stefano Gogioso, Maria E. Stasinou, Bob Coecke
quant-pharXiv:2003.13271v12020
Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery
Ali Lesani, Chul Min Yeum, Su-Min Kang
cs.CVcs.AIcs.ROarXiv:2608.25435v12026
Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling
Peng Chen, Zhenxin Cao, Zhimin Chen +1
eess.SParXiv:1804.04460v42018
Andy: A Mathematical Agent for Rigorous Proof and Autonomous Research
Zi'an Wang
cs.AImath.OCarXiv:2608.15052v12026
Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter
Michel Breyer, Jen Jen Chung, Lionel Ott +2
cs.ROarXiv:2101.01132v12021
Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning
Hongwei Tang, Jean Rabault, Alexander Kuhnle +2
physics.flu-dynarXiv:2004.12417v12020
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities
Zhen Li, Deqing Zou, Shouhuai Xu +3
cs.LGcs.AIcs.CRarXiv:1807.06756v32018
Bootstrap Inference when Using Multiple Imputation
Michael Schomaker, Christian Heumann
stat.MEarXiv:1602.07933v62016
MolGAN: An implicit generative model for small molecular graphs
Nicola De Cao, Thomas Kipf
stat.MLcs.LGarXiv:1805.11973v22018
MetaICL: Learning to Learn In Context
Sewon Min, Mike Lewis, Luke Zettlemoyer +1
cs.CLcs.AIarXiv:2110.15943v22021
FVeinSyn: Synthetic Finger Vein Image Generator
Yifan Wang, Jie Gui, Adams Wai Kin Kong +6
cs.CVcs.AIarXiv:2608.27527v12026
Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models
Yunkai Zhang, Linda Li, Yingxin Cui +5
cs.CVcs.AIarXiv:2604.09687v22026
Towards Ultrahigh Dimensional Feature Selection for Big Data
Mingkui Tan, Ivor W. Tsang, Li Wang
cs.LGarXiv:1209.5260v22012
Joint Entity and Relation Extraction with Set Prediction Networks
Dianbo Sui, Yubo Chen, Kang Liu +3
cs.CLarXiv:2011.01675v22020
Explore Spatiotemporal and Demographic Characteristics of Human Mobility via Twitter: A Case Study of Chicago
Feixiong Luo, Guofeng Cao, Kevin Mulligan +1
cs.SIcs.CYphysics.soc-pharXiv:1508.00188v22015
Hypercontractivity, Sum-of-Squares Proofs, and their Applications
Boaz Barak, Fernando G. S. L. Brandão, Aram W. Harrow +3
cs.CCcs.DSquant-pharXiv:1205.4484v32012
"Death" of a Chatbot: Investigating and Designing Toward Psychologically Safe Endings for Human-AI Relationships
Rachel Poonsiriwong, Chayapatr Archiwaranguprok, Pat Pataranutaporn
cs.HCcs.AIarXiv:2602.07193v22026
Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning
Xiaobo Qu, Yihui Huang, Hengfa Lu +5
physics.med-phcs.AIcs.LGarXiv:1904.05168v22019
Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection
Xiaodan Liang, Lisa Lee, Eric P. Xing
cs.CVcs.AIcs.LGarXiv:1703.03054v12017
Sliced Wasserstein Kernels for Probability Distributions
Soheil Kolouri, Yang Zou, Gustavo K. Rohde
cs.LGstat.MLarXiv:1511.03198v12015
Quantum Copy-Protection and Quantum Money
Scott Aaronson
quant-phcs.CCarXiv:1110.5353v12011
A Survey on Agentic Multimodal Large Language Models
Huanjin Yao, Ruifei Zhang, Jiaxing Huang +8
cs.CVcs.AIcs.CLarXiv:2510.10991v12025
Methods of Solving Ill-Posed Problems
Suresh B. Srinivasamurthy
math.NAarXiv:1205.5323v12012
Distributed Energy Trading: The Multiple-Microgrid Case
David Gregoratti, Javier Matamoros
math.OCcs.MAarXiv:1307.7622v52013
Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework
Kaihao Zhang, Dongxu Li, Wenhan Luo +2
cs.CVarXiv:2103.12318v22021
Mobile Backscatter Communication for the Battery-less Internet of Things
Weining Song, Thiemo Voigt, Stefanos Kaxiras +2
cs.NIarXiv:2609.01465v12026
Factoring nonnegative matrices with linear programs
Victor Bittorf, Benjamin Recht, Christopher Re +1
math.OCcs.LGstat.MLarXiv:1206.1270v22012
Instability Floors: Separating Bias from Noise in Fairness Audits of Clinical LLM Agents with FairMedAgent
Rohith Reddy Bellibatlu, Manpreet Singh, Deepak Parashar +1
cs.CLcs.AIcs.CYarXiv:2609.03221v32026

Every paper with a summary

EpiCon: Collective Agent Learning through Co-Evolving Multimodal Memory

Funnel of Thoughts: Efficient Test-Time Scaling via Early Voting and Rollout Pruning

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

Compositional Questions Do Not Necessitate Multi-hop Reasoning

Bridging direct & indirect data-driven control formulations via regularizations and relaxations

A Fast Post-Training Pruning Framework for Transformers

Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR

Deep neural network models for computational histopathology: A survey

A Note on Over-Smoothing for Graph Neural Networks

A Survey on Wireless Security: Technical Challenges, Recent Advances and Future Trends

IterCOMP: Reasoning-aware Adaptive Prompt Compression for Multi-hop Question Answering

Learning A Sparse Transformer Network for Effective Image Deraining

An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee

Deep Semantic Segmentation for Automated Driving: Taxonomy, Roadmap and Challenges

MEMENTO: Teaching LLMs to Manage Their Own Context

A Survey on Graph-Based Deep Learning for Computational Histopathology

AbGen: Evaluating Large Language Models in Ablation Study Design and Evaluation for Scientific Research

Fully dynamic maximal matching in O(log n) update time

Tensor Regression with Applications in Neuroimaging Data Analysis

Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System

Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning

Distilling Conversations: Abstract Compression of Conversational Audio Context for LLM-based ASR

Online Learning for Time Series Prediction

A Causal Model for Locating and Unlocking Sandbagging in Model Organisms

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields

ThermalGen: Style-Disentangled Flow-Based Generative Models for RGB-to-Thermal Image Translation

DragDiffusion: Harnessing Diffusion Models for Interactive Point-based Image Editing

Weakly-Supervised Camouflaged Object Detection with Scribble Annotations

SignRR: Retrieve and Refine Real Motion for Sign Language Production

The AI risk repository: A meta-review, database, and taxonomy of risks from artificial intelligence

Assuring the Machine Learning Lifecycle: Desiderata, Methods, and Challenges

Functorial evolution of quantum fields

Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery

Off-Grid DOA Estimation Using Sparse Bayesian Learning in MIMO Radar With Unknown Mutual Coupling

Andy: A Mathematical Agent for Rigorous Proof and Autonomous Research

Volumetric Grasping Network: Real-time 6 DOF Grasp Detection in Clutter

Robust active flow control over a range of Reynolds numbers using an artificial neural network trained through deep reinforcement learning

SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities

Bootstrap Inference when Using Multiple Imputation

MolGAN: An implicit generative model for small molecular graphs

MetaICL: Learning to Learn In Context

FVeinSyn: Synthetic Finger Vein Image Generator

Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models

Towards Ultrahigh Dimensional Feature Selection for Big Data

Joint Entity and Relation Extraction with Set Prediction Networks

Explore Spatiotemporal and Demographic Characteristics of Human Mobility via Twitter: A Case Study of Chicago

Hypercontractivity, Sum-of-Squares Proofs, and their Applications

"Death" of a Chatbot: Investigating and Designing Toward Psychologically Safe Endings for Human-AI Relationships

Accelerated Nuclear Magnetic Resonance Spectroscopy with Deep Learning

Deep Variation-structured Reinforcement Learning for Visual Relationship and Attribute Detection

Sliced Wasserstein Kernels for Probability Distributions

Quantum Copy-Protection and Quantum Money

A Survey on Agentic Multimodal Large Language Models

Methods of Solving Ill-Posed Problems

Distributed Energy Trading: The Multiple-Microgrid Case

Enhanced Spatio-Temporal Interaction Learning for Video Deraining: A Faster and Better Framework

Mobile Backscatter Communication for the Battery-less Internet of Things

Factoring nonnegative matrices with linear programs

Instability Floors: Separating Bias from Noise in Fairness Audits of Clinical LLM Agents with FairMedAgent