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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80,341 to 80,400 of 104,313

A Multi-Axis Annotation Scheme for Event Temporal Relations
Qiang Ning, Hao Wu, Dan Roth
cs.CLarXiv:1804.07828v22018
Locality and Availability in Distributed Storage
Ankit Singh Rawat, Dimitris S. Papailiopoulos, Alexandros G. Dimakis +1
cs.ITarXiv:1402.2011v12014
Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data
Sohei Itahara, Takayuki Nishio, Yusuke Koda +2
cs.DCcs.LGarXiv:2008.06180v22020
Learning a Fixed-Length Fingerprint Representation
Joshua J. Engelsma, Kai Cao, Anil K. Jain
cs.CVarXiv:1909.09901v22019
Learnable Programming: Blocks and Beyond
David Bau, Jeff Gray, Caitlin Kelleher +2
cs.PLcs.CYcs.HCarXiv:1705.09413v12017
An Illusion of Progress? Assessing the Current State of Web Agents
Tianci Xue, Weijian Qi, Tianneng Shi +5
cs.AIcs.CLarXiv:2504.01382v42025
Learning Latent Space Energy-Based Prior Model
Bo Pang, Tian Han, Erik Nijkamp +2
stat.MLcs.LGarXiv:2006.08205v22020
Safe Stabilising Full-Order Affine Control Barrier Functions for Linear Systems (Extended)
Faisal Lawan, Joaquin Carrasco, Lanlan Su
eess.SYcs.SYarXiv:2609.12990v12026
Training Agents using Upside-Down Reinforcement Learning
Rupesh Kumar Srivastava, Pranav Shyam, Filipe Mutz +2
cs.LGcs.AIcs.ROarXiv:1912.02877v22019
Modality-Autoregressive World-Action Models
Adam Hung, Bardienus P. Duisterhof, Deva Ramanan +1
cs.ROarXiv:2609.17524v12026
Predicting Process Behaviour using Deep Learning
Joerg Evermann, Jana-Rebecca Rehse, Peter Fettke
cs.LGstat.MLarXiv:1612.04600v22016
Mathematical Definition, Mapping, and Detection of (Anti)Fragility
Nassim N. Taleb, Raphael Douady
q-fin.RMarXiv:1208.1189v12012
AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation
Dongjie Cheng, Ruifeng Yuan, Yongqi Li +5
cs.LGcs.AIcs.CLarXiv:2601.17761v12026
Benchmarking Retrieval-Augmented Generation for Medicine
Guangzhi Xiong, Qiao Jin, Zhiyong Lu +1
cs.CLcs.AIarXiv:2402.13178v22024
A Bibliometric Review of Large Language Models Research from 2017 to 2023
Lizhou Fan, Lingyao Li, Zihui Ma +3
cs.DLcs.CLcs.CYarXiv:2304.02020v12023
Provably Efficient Q-Learning with Low Switching Cost
Yu Bai, Tengyang Xie, Nan Jiang +1
cs.LGcs.AIstat.MLarXiv:1905.12849v32019
Shuffling is Not Enough: Breaking Permutation-Based Model Confidentiality in Hybrid FHE Inference
Jiseung Kim, Hyung Tae Lee
cs.CRarXiv:2609.12911v12026
Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation
Leshem Choshen, Omri Abend
cs.CLcs.LGarXiv:1909.06814v42019
Mixture-of-Agents Enhances Large Language Model Capabilities
Junlin Wang, Jue Wang, Ben Athiwaratkun +2
cs.CLarXiv:2406.04692v12024
Compressed Modes for Variational Problems in Mathematics and Physics
Vidvuds Ozoliņš, Rongjie Lai, Russel Caflisch +1
math.NAphysics.comp-pharXiv:1308.1758v22013
Can AI Oversight Be Zero Knowledge?
Alessandro Chiesa, Ziyi Guan, Burcu Yildiz
cs.AIcs.CCcs.CRarXiv:2610.01995v12026
Sample Selection Bias Correction Theory
Corinna Cortes, Mehryar Mohri, Michael Riley +1
cs.LGarXiv:0805.2775v12008
Memorize or Generalize? Evaluating LLM Code Generation with Code Rewriting
Lizhe Zhang, Wentao Chen, Li Zhong +3
cs.AIarXiv:2503.02296v22025
Tracing and Coordinating Cross-Layer Influence for Multimodal Model Merging
Pengyang Zhou, Xiaobin Tu, Zhengxi Liu +7
cs.AIarXiv:2609.12897v12026
Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction
Rujun Han, Qiang Ning, Nanyun Peng
cs.CLcs.AIarXiv:1909.05360v22019
FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance
Jaihyun Lew, Mingi Jung, Minjun Park +2
cs.CVarXiv:2609.25716v12026
Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages
Chih-Hsuan Yang, Anjir Ahmed Chowdhury, Cheng-Hau Yang +7
cs.AIcs.CLcs.LGarXiv:2608.14375v12026
Adversarial Dropout Regularization
Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada +1
cs.CVarXiv:1711.01575v32017
Attention Bottlenecks for Multimodal Fusion
Arsha Nagrani, Shan Yang, Anurag Arnab +3
cs.CVarXiv:2107.00135v32021
QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars
Alexander Winkler, Jungdam Won, Yuting Ye
cs.CVcs.GRarXiv:2209.09391v12022
Bags of Local Convolutional Features for Scalable Instance Search
Eva Mohedano, Amaia Salvador, Kevin McGuinness +3
cs.CVcs.MMarXiv:1604.04653v12016
Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction
Petru Soviany, Radu Tudor Ionescu
cs.CVarXiv:1803.08707v32018
RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes
Yuan-Kang Lee, Kuan-Lin Chen, Chia-Che Chang +1
cs.CVarXiv:2601.05249v42026
A stabilized, nodal strain finite element method for small and large deformations: formulation, analysis, and impact on remeshing strategies
Nestor Rossi, Ignacio Romero
math.NAcs.NAmath-pharXiv:2609.12893v12026
FDA: Feature Disruptive Attack
Aditya Ganeshan, B. S. Vivek, R. Venkatesh Babu
cs.CVcs.AIcs.LGarXiv:1909.04385v12019
General Flow as Foundation Affordance for Scalable Robot Learning
Chengbo Yuan, Chuan Wen, Tong Zhang +1
cs.ROcs.AIcs.CVarXiv:2401.11439v22024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
Ling Yang, Zhaochen Yu, Tianjun Zhang +5
cs.CLarXiv:2406.04271v22024
Measuring Progress Toward AGI: A Cognitive Framework
Ryan Burnell, Yumeya Yamamori, Orhan Firat +10
cs.AIarXiv:2605.28405v12026
ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience
Haodong Lu, Dong Gong
cs.LGarXiv:2610.05303v12026
Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection
Gerhard Krumpl, Henning Avenhaus, Horst Possegger
cs.CVarXiv:2609.06785v12026
Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation
Gregory P. Meyer, Jake Charland, Darshan Hegde +2
cs.CVcs.LGcs.ROarXiv:1904.11466v12019
Federated Zeroth-Order Optimization with Direction Aggregation and Variance Reduction
Qianlong Dang, Baosheng Li
cs.DCarXiv:2610.11821v12026
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
Matthieu Courbariaux, Itay Hubara, Daniel Soudry +2
cs.LGarXiv:1602.02830v32016
EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts
Danqin Zhao, Yicun Liu, Xingwei Tan +1
cs.IRarXiv:2606.08362v22026
Temporal Network Embedding with Micro- and Macro-dynamics
Yuanfu Lu, Xiao Wang, Chuan Shi +2
cs.LGcs.SIstat.MLarXiv:1909.04246v12019
SemEval-2021 Task 1: Lexical Complexity Prediction
Matthew Shardlow, Richard Evans, Gustavo Henrique Paetzold +1
cs.CLarXiv:2106.00473v12021
Directed walks shape a universal square-root law of entropy production rate in nonreciprocal systems
Thiparat Chotibut, Ewa Gudowska-Nowak, Maciej A. Nowak
cond-mat.stat-mechcond-mat.dis-nncs.NEarXiv:2608.25030v12026
Program Synthesis with Large Language Models
Jacob Austin, Augustus Odena, Maxwell Nye +8
cs.PLcs.LGarXiv:2108.07732v12021
Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
Sanjeev Arora, Simon S. Du, Zhiyuan Li +3
cs.LGstat.MLarXiv:1910.01663v32019
Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach
Vasily Bokov, Sebastian Schmitt, Vedran Dunjko +1
cs.LGarXiv:2609.12891v12026
Likelihood Robust Optimization for Data-driven Problems
Zizhuo Wang, Peter Glynn, Yinyu Ye
math.OCarXiv:1307.6279v32013
HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals
Henning Bahl, Thomas Biekötter, Sven Heinemeyer +4
hep-pharXiv:2210.09332v22022
Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models
Yanwei Li, Yuechen Zhang, Chengyao Wang +5
cs.CVcs.AIcs.CLarXiv:2403.18814v12024
You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue
Junle Chen, Wei Chen, Zhengjun Huang +5
cs.AIarXiv:2610.06496v12026
Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images
Noel Codella, Quoc-Bao Nguyen, Sharath Pankanti +4
cs.CVarXiv:1610.04662v22016
Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
Sachin Kumar
cs.CLcs.AIcs.LGarXiv:2605.27958v12026
Challenges and Opportunities in Quantum Optimization
Amira Abbas, Andris Ambainis, Brandon Augustino +43
quant-phmath.OCarXiv:2312.02279v32023
Training Convolutional Networks with Noisy Labels
Sainbayar Sukhbaatar, Joan Bruna, Manohar Paluri +2
cs.CVcs.LGcs.NEarXiv:1406.2080v42014
Motubrain: An Advanced World Action Model for Robot Control
Motubrain Team, Chendong Xiang, Fan Bao +17
cs.ROarXiv:2604.27792v52026
GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL
Zike Yuan, Han Zhang, Jianzhi Yan +10
cs.AIarXiv:2608.27142v12026

Every paper with a summary

A Multi-Axis Annotation Scheme for Event Temporal Relations

Locality and Availability in Distributed Storage

Distillation-Based Semi-Supervised Federated Learning for Communication-Efficient Collaborative Training with Non-IID Private Data

Learning a Fixed-Length Fingerprint Representation

Learnable Programming: Blocks and Beyond

An Illusion of Progress? Assessing the Current State of Web Agents

Learning Latent Space Energy-Based Prior Model

Safe Stabilising Full-Order Affine Control Barrier Functions for Linear Systems (Extended)

Training Agents using Upside-Down Reinforcement Learning

Modality-Autoregressive World-Action Models

Predicting Process Behaviour using Deep Learning

Mathematical Definition, Mapping, and Detection of (Anti)Fragility

AR-Omni: A Unified Autoregressive Model for Any-to-Any Generation

Benchmarking Retrieval-Augmented Generation for Medicine

A Bibliometric Review of Large Language Models Research from 2017 to 2023

Provably Efficient Q-Learning with Low Switching Cost

Shuffling is Not Enough: Breaking Permutation-Based Model Confidentiality in Hybrid FHE Inference

Automatically Extracting Challenge Sets for Non local Phenomena in Neural Machine Translation

Mixture-of-Agents Enhances Large Language Model Capabilities

Compressed Modes for Variational Problems in Mathematics and Physics

Can AI Oversight Be Zero Knowledge?

Sample Selection Bias Correction Theory

Memorize or Generalize? Evaluating LLM Code Generation with Code Rewriting

Tracing and Coordinating Cross-Layer Influence for Multimodal Model Merging

Joint Event and Temporal Relation Extraction with Shared Representations and Structured Prediction

FoMo: Forking Moment in Generative Trajectory as a Perceptual Distance

Wrong but Useful: Trajectory Value Beyond Answer Correctness in Multi-Agent Messages

Adversarial Dropout Regularization

Attention Bottlenecks for Multimodal Fusion

QuestSim: Human Motion Tracking from Sparse Sensors with Simulated Avatars

Bags of Local Convolutional Features for Scalable Instance Search

Optimizing the Trade-off between Single-Stage and Two-Stage Object Detectors using Image Difficulty Prediction

RL-AWB: Deep Reinforcement Learning for Auto White Balance Correction in Low-Light Night-time Scenes

A stabilized, nodal strain finite element method for small and large deformations: formulation, analysis, and impact on remeshing strategies

FDA: Feature Disruptive Attack

General Flow as Foundation Affordance for Scalable Robot Learning

Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models

Measuring Progress Toward AGI: A Cognitive Framework

ASCENT: Online Test-Time Training of Long-Horizon Agents via Self-Distillation of Verified Experience

Unified Multi-Layer Subspace Modeling for Cross-Domain OOD Detection

Sensor Fusion for Joint 3D Object Detection and Semantic Segmentation

Federated Zeroth-Order Optimization with Direction Aggregation and Variance Reduction

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

EmpiriGraph-Psy: A Dataset and LLM Pipeline for Extracting Empirical Relation Graphs from Psychology Abstracts

Temporal Network Embedding with Micro- and Macro-dynamics

SemEval-2021 Task 1: Lexical Complexity Prediction

Directed walks shape a universal square-root law of entropy production rate in nonreciprocal systems

Program Synthesis with Large Language Models

Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks

Quantifying the Value of Privileged Information Using a PAC-Bayesian Approach

Likelihood Robust Optimization for Data-driven Problems

HiggsTools: BSM scalar phenomenology with new versions of HiggsBounds and HiggsSignals

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models

You Changed Your Mind, The Model Didn't: Demystifying Intent in Multi-Turn Dialogue

Deep Learning Ensembles for Melanoma Recognition in Dermoscopy Images

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations

Challenges and Opportunities in Quantum Optimization

Training Convolutional Networks with Noisy Labels

Motubrain: An Advanced World Action Model for Robot Control

GRAIN: Bridging Name and Narrative Shifts in Real-World Graph Reasoning through Invariance-Rewarded Agentic RL