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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57,361 to 57,420 of 117,809

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization
Chenguang Zhu, Yang Liu, Jie Mei +1
cs.CLarXiv:2103.06410v22021
Equivalent relaxations of optimal power flow
Subhonmesh Bose, Steven H. Low, Thanchanok Teeraratkul +1
eess.SYarXiv:1401.1876v12014
How simple rules determine pedestrian behavior and crowd disasters
Mehdi Moussaid, Dirk Helbing, Guy Theraulaz
physics.soc-pharXiv:1105.2152v12011
Weakly Supervised Disentangled Generative Causal Representation Learning
Xinwei Shen, Furui Liu, Hanze Dong +3
cs.LGcs.AIstat.MLarXiv:2010.02637v32020
LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan +5
cs.AIcs.LGarXiv:2402.01817v32024
Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
Mubashir Noman, Muzammal Naseer, Hisham Cholakkal +3
cs.CVarXiv:2403.05419v12024
Differential Privacy Has Disparate Impact on Model Accuracy
Eugene Bagdasaryan, Vitaly Shmatikov
cs.LGcs.CRstat.MLarXiv:1905.12101v22019
Helly-Type Theorems for Splitting Point Sets
Lidor Portal, Natan Rubin
math.COcs.CGcs.DMarXiv:2609.02180v22026
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
Diffusion Buffer for Online Generative Speech Enhancement
Bunlong Lay, Rostislav Makarov, Simon Welker +2
eess.AScs.LGcs.SDarXiv:2510.18744v12025
Reasoning About Pragmatics with Neural Listeners and Speakers
Jacob Andreas, Dan Klein
cs.CLcs.NEarXiv:1604.00562v22016
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Zhenyu Jiang, Yifeng Zhu, Maxwell Svetlik +2
cs.ROcs.AIcs.CVarXiv:2104.01542v22021
Graphs are maximally expressive for higher-order interactions
Tiago P. Peixoto, Leto Peel, Thilo Gross +1
physics.soc-phcond-mat.dis-nncond-mat.stat-mecharXiv:2602.16937v22026
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy
Pingzhi Li, Zhenyu Zhang, Prateek Yadav +4
cs.LGcs.AIcs.CLarXiv:2310.01334v22023
Stochastic Nested Variance Reduction for Nonconvex Optimization
Dongruo Zhou, Pan Xu, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:1806.07811v22018
Multi-angle Quantum Approximate Optimization Algorithm
Rebekah Herrman, Phillip C. Lotshaw, James Ostrowski +2
quant-pharXiv:2109.11455v12021
Multi-label Image Recognition by Recurrently Discovering Attentional Regions
Zhouxia Wang, Tianshui Chen, Guanbin Li +2
cs.CVarXiv:1711.02816v12017
Multi-Agent Tool-Integrated Policy Optimization
Zhanfeng Mo, Xingxuan Li, Yuntao Chen +1
cs.CLarXiv:2510.04678v12025
The Data Processing Pipeline for the MUSE Instrument
Peter M. Weilbacher, Ralf Palsa, Ole Streicher +12
astro-ph.IMarXiv:2006.08638v12020
FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking
Peng Chu, Haibin Ling
cs.CVarXiv:1904.04989v12019
Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods
Randall Balestriero, Yann LeCun
cs.LGcs.AIcs.CVarXiv:2205.11508v32022
Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning
Qingbiao Li, Weizhe Lin, Zhe Liu +1
cs.ROcs.DCcs.LGarXiv:2011.13219v22020
Air quality prediction using optimal neural networks with stochastic variables
Ana Russo, Frank Raischel, Pedro G. Lind
physics.ao-phphysics.data-anarXiv:1307.3134v12013
SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks
Wai-Chung Kwan, Aryo Pradipta Gema, Joshua Ong Jun Leang +1
cs.CLarXiv:2605.31433v12026
OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World
Tu-Hoa Pham, Giovanni De Magistris, Ryuki Tachibana
cs.ROcs.AIarXiv:1709.07643v22017
RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts
Hjalmar Wijk, Tao Lin, Joel Becker +20
cs.LGcs.AIarXiv:2411.15114v22024
Approximate Quantum Fourier Transform with $O(n \log(n))$ T gates
Yunseong Nam, Yuan Su, Dmitri Maslov
quant-phcs.ETarXiv:1803.04933v22018
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
Tong Che, Yanran Li, Ruixiang Zhang +4
cs.AIcs.CLcs.LGarXiv:1702.07983v12017
A General Framework for Constrained Bayesian Optimization using Information-based Search
José Miguel Hernández-Lobato, Michael A. Gelbart, Ryan P. Adams +2
stat.MLarXiv:1511.09422v22015
Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning
Lili Yu, Bowen Shi, Ramakanth Pasunuru +24
cs.LGcs.CLcs.CVarXiv:2309.02591v12023
Towards Understanding Grokking: An Effective Theory of Representation Learning
Ziming Liu, Ouail Kitouni, Niklas Nolte +3
cs.LGcond-mat.dis-nncond-mat.stat-mecharXiv:2205.10343v22022
LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery
Binglin Ji, Anindya Sarkar, Hengchang Lu +3
cs.LGarXiv:2609.06761v12026
Monarch: Expressive Structured Matrices for Efficient and Accurate Training
Tri Dao, Beidi Chen, Nimit Sohoni +7
cs.LGarXiv:2204.00595v12022
One-Shot Unsupervised Cross Domain Translation
Sagie Benaim, Lior Wolf
cs.CVarXiv:1806.06029v22018
HSG: Hyperbolic Scene Graph
Liyang Wang, Zeyu Zhang, Hao Tang
cs.CVarXiv:2604.17454v12026
A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer
Haengbok Chung, SunGyu Kim, Joo hyun Lee +4
cs.CVcs.LGarXiv:2609.05532v12026
Measurement-Device-Independent Quantum Secure Direct Communication
Zeng-Rong Zhou, Yu-Bo Sheng, Peng-Hao Niu +2
quant-pharXiv:1805.07228v12018
End-To-End Memory Networks
Sainbayar Sukhbaatar, Arthur Szlam, Jason Weston +1
cs.NEcs.CLarXiv:1503.08895v52015
ClawArena: Benchmarking AI Agents in Evolving Information Environments
Haonian Ji, Kaiwen Xiong, Siwei Han +9
cs.LGcs.AIcs.CLarXiv:2604.04202v22026
Heterogeneous Federated Learning: State-of-the-art and Research Challenges
Mang Ye, Xiuwen Fang, Bo Du +2
cs.LGcs.AIcs.CVarXiv:2307.10616v22023
Reinforcement Learning from Imperfect Demonstrations
Yang Gao, Huazhe Xu, Ji Lin +3
cs.AIcs.LGstat.MLarXiv:1802.05313v22018
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation
Yuzhe Yang, Guo Zhang, Dina Katabi +1
cs.LGcs.CVstat.MLarXiv:1905.11971v12019
Neural Architecture Transfer
Zhichao Lu, Gautam Sreekumar, Erik Goodman +3
cs.CVcs.LGcs.NEarXiv:2005.05859v22020
Coverage and Economy of Cellular Networks with Many Base Stations
Seunghyun Lee, Kaibin Huang
cs.NIarXiv:1202.6501v22012
Learning Random Quantum Circuits and the Emergence of Pseudorandomness
Srinivasan Arunachalam, Qizhao Huang, Makrand Sinha
quant-phcs.DSarXiv:2609.39821v12026
Towards Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach
Abbas Kiani, Nirwan Ansari
cs.NIarXiv:1612.00122v12016
A Class of Two-Weight and Three-Weight Codes and Their Applications in Secret Sharing
Kelan Ding, Cunsheng Ding
cs.ITarXiv:1503.06512v12015
Fast and simple decycling and dismantling of networks
Lenka Zdeborová, Pan Zhang, Hai-Jun Zhou
physics.soc-phcond-mat.dis-nncs.SIarXiv:1607.03276v12016
Extracting alignment data in open models
Federico Barbero, Xiangming Gu, Christopher A. Choquette-Choo +6
cs.AIarXiv:2510.18554v22025
Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era
Hamed Khosravi, Xiaoming Huo
cs.AIcs.HCarXiv:2609.05527v12026
Being-H0.7: A Latent World-Action Model from Egocentric Videos
Hao Luo, Wanpeng Zhang, Yicheng Feng +6
cs.ROcs.CVcs.LGarXiv:2605.00078v12026
Attention decay in science
Pietro Della Briotta Parolo, Raj Kumar Pan, Rumi Ghosh +3
physics.soc-phcs.CYcs.DLarXiv:1503.01881v22015
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
D. Leventhal, A. S. Lewis
math.OCmath.NAarXiv:0806.3015v12008
Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices
Yuxiang Huang, Binhang Yuan, Xu Han +2
cs.CLarXiv:2410.01805v22024
Linear attention is (maybe) all you need (to understand transformer optimization)
Kwangjun Ahn, Xiang Cheng, Minhak Song +3
cs.LGcs.AImath.OCarXiv:2310.01082v22023
LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang +4
cs.LGcs.AIcs.CLarXiv:2510.04573v62025
Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network
Chen Wu, Hongruixuan Chen, Bo Do +1
eess.IVcs.CVarXiv:1912.08628v12019
A quantum access network
Bernd Fröhlich, James F. Dynes, Marco Lucamarini +3
quant-phphysics.opticsarXiv:1309.6431v22013
DART: Noise Injection for Robust Imitation Learning
Michael Laskey, Jonathan Lee, Roy Fox +2
cs.LGarXiv:1703.09327v22017
The Miner's Dilemma
Ittay Eyal
cs.CRcs.GTarXiv:1411.7099v22014

Every paper with a summary

MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization

Equivalent relaxations of optimal power flow

How simple rules determine pedestrian behavior and crowd disasters

Weakly Supervised Disentangled Generative Causal Representation Learning

LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks

Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery

Differential Privacy Has Disparate Impact on Model Accuracy

Helly-Type Theorems for Splitting Point Sets

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

Diffusion Buffer for Online Generative Speech Enhancement

Reasoning About Pragmatics with Neural Listeners and Speakers

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

Graphs are maximally expressive for higher-order interactions

Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy

Stochastic Nested Variance Reduction for Nonconvex Optimization

Multi-angle Quantum Approximate Optimization Algorithm

Multi-label Image Recognition by Recurrently Discovering Attentional Regions

Multi-Agent Tool-Integrated Policy Optimization

The Data Processing Pipeline for the MUSE Instrument

FAMNet: Joint Learning of Feature, Affinity and Multi-dimensional Assignment for Online Multiple Object Tracking

Contrastive and Non-Contrastive Self-Supervised Learning Recover Global and Local Spectral Embedding Methods

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning

Air quality prediction using optimal neural networks with stochastic variables

SCOPE: Self-Play via Co-Evolving Policies for Open-Ended Tasks

OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World

RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts

Approximate Quantum Fourier Transform with $O(n \log(n))$ T gates

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks

A General Framework for Constrained Bayesian Optimization using Information-based Search

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning

Towards Understanding Grokking: An Effective Theory of Representation Learning

LATS: Levy Adaptive Tree Sampling for Feedback-Driven Diverse Target Discovery

Monarch: Expressive Structured Matrices for Efficient and Accurate Training

One-Shot Unsupervised Cross Domain Translation

HSG: Hyperbolic Scene Graph

A Specialized Large Multimodal Model for Interpreting PET/CT in Head and Neck Cancer

Measurement-Device-Independent Quantum Secure Direct Communication

End-To-End Memory Networks

ClawArena: Benchmarking AI Agents in Evolving Information Environments

Heterogeneous Federated Learning: State-of-the-art and Research Challenges

Reinforcement Learning from Imperfect Demonstrations

ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation

Neural Architecture Transfer

Coverage and Economy of Cellular Networks with Many Base Stations

Learning Random Quantum Circuits and the Emergence of Pseudorandomness

Towards Hierarchical Mobile Edge Computing: An Auction-Based Profit Maximization Approach

A Class of Two-Weight and Three-Weight Codes and Their Applications in Secret Sharing

Fast and simple decycling and dismantling of networks

Extracting alignment data in open models

Beyond "AI Helps Humans": Decision-Targeted Evaluation Design for Human-Agent Teams in the Agentic Era

Being-H0.7: A Latent World-Action Model from Egocentric Videos

Attention decay in science

Randomized Methods for Linear Constraints: Convergence Rates and Conditioning

Locret: Enhancing Eviction in Long-Context LLM Inference with Trained Retaining Heads on Consumer-Grade Devices

Linear attention is (maybe) all you need (to understand transformer optimization)

LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning

Unsupervised Change Detection in Multi-temporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

A quantum access network

DART: Noise Injection for Robust Imitation Learning

The Miner's Dilemma