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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68,401 to 68,460 of 105,458

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora
Alex Warstadt, Aaron Mueller, Leshem Choshen +8
cs.CLarXiv:2504.08165v12025
Community structure and scale-free collections of Erdös-Rényi graphs
C. Seshadhri, Tamara G. Kolda, Ali Pinar
cs.SIphysics.soc-pharXiv:1112.3644v12011
Stack-Captioning: Coarse-to-Fine Learning for Image Captioning
Jiuxiang Gu, Jianfei Cai, Gang Wang +1
cs.CVarXiv:1709.03376v32017
Divergence controls entropy in distillation
Nicolas Zucchet, Scott W. Linderman
cs.LGcs.CLarXiv:2610.03529v12026
Arbitrarily routed mode-division multiplexed photonic circuits for dense integration
Yingjie Liu, Ke Xu, Shuai Wang +8
physics.app-phphysics.opticsarXiv:1812.06904v12018
Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling
Jacob Menick, Nal Kalchbrenner
cs.CVcs.GRcs.LGarXiv:1812.01608v12018
Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems
Thomas Pock, Shoham Sabach
math.OCarXiv:1702.02505v12017
Optimizing the Latent Space of Generative Networks
Piotr Bojanowski, Armand Joulin, David Lopez-Paz +1
stat.MLcs.CVcs.LGarXiv:1707.05776v22017
Generalized Shape Metrics on Neural Representations
Alex H. Williams, Erin Kunz, Simon Kornblith +1
stat.MLcs.LGarXiv:2110.14739v22021
Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking
Siming Liang, Jacob Hauck, Minglei Yang +3
math.NAq-bio.QMarXiv:2609.01434v12026
A Widely Applicable Bayesian Information Criterion
Sumio Watanabe
cs.LGstat.MLarXiv:1208.6338v12012
Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning
Mathilde Papillon, Guillermo Bernárdez, Álvaro Ballón Barreiro +4
cs.LGarXiv:2608.15388v12026
Progressive Transformers for End-to-End Sign Language Production
Ben Saunders, Necati Cihan Camgoz, Richard Bowden
cs.CVcs.CLcs.LGarXiv:2004.14874v22020
ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews
Mike D'Arcy, Alexis Ross, Erin Bransom +4
cs.CLarXiv:2306.12587v22023
Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction
Gen Li, Yuting Wei, Yuejie Chi +2
cs.LGeess.SPmath.OCarXiv:2006.03041v32020
Position Focused Attention Network for Image-Text Matching
Yaxiong Wang, Hao Yang, Xueming Qian +4
cs.CLcs.IRcs.LGarXiv:1907.09748v12019
Differentiable Learning of Quantum Circuit Born Machine
Jin-Guo Liu, Lei Wang
quant-phcs.LGstat.MLarXiv:1804.04168v12018
Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot
Joel Z. Leibo, Edgar Duéñez-Guzmán, Alexander Sasha Vezhnevets +7
cs.MAcs.AIarXiv:2107.06857v12021
No One Size Fits All: QueryBandits for Hallucination Mitigation
Nicole Cho, William Watson, Alec Koppel +2
cs.CLcs.AIcs.LGarXiv:2602.20332v12026
Accounting for Variance in Machine Learning Benchmarks
Xavier Bouthillier, Pierre Delaunay, Mirko Bronzi +14
cs.LGstat.MLarXiv:2103.03098v12021
HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models
Zhuokun Chen, Feng Chen, Xi Lin +4
cs.CVcs.AIarXiv:2610.05739v12026
AgentSpec: Speculative Decoding for Batch Inference of LLM Agents
Xin Wang, Ziming Miao, Yi Zhu +4
cs.CLarXiv:2608.24004v12026
Recurrent Independent Mechanisms
Anirudh Goyal, Alex Lamb, Jordan Hoffmann +4
cs.LGcs.AIstat.MLarXiv:1909.10893v62019
AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation
Rishabh Agrawal, Hejie Cui, Shasha Li +2
cs.AIcs.CLcs.LGarXiv:2609.38142v12026
Computing Power and the Governance of Artificial Intelligence
Girish Sastry, Lennart Heim, Haydn Belfield +16
cs.CYarXiv:2402.08797v12024
Optimization of photonic crystal nanocavities based on deep learning
Takashi Asano, Susumu Noda
physics.comp-phphysics.app-pharXiv:1808.05722v12018
DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents
Heechan Lee, Juhyeon Choi, Tae Soo Kim +2
cs.HCcs.AIarXiv:2609.29309v12026
Near-Field Wideband Beamforming for Extremely Large Antenna Arrays
Mingyao Cui, Linglong Dai
cs.ITeess.SParXiv:2109.10054v42021
Self-Supervised Learning Across Domains
Silvia Bucci, Antonio D'Innocente, Yujun Liao +3
cs.CVarXiv:2007.12368v22020
Variational Hamiltonian simulation for translational invariant systems via classical pre-processing
Refik Mansuroglu, Timo Eckstein, Ludwig Nützel +2
quant-pharXiv:2106.03680v52021
Language Models for Portuguese: A Systematic Mapping Study
Jhessica Silva, Carlos Caetano, Helena Maia +3
cs.CLcs.AIarXiv:2608.18138v12026
Decision-Making with Belief Functions: a Review
Thierry Denoeux
cs.AIarXiv:1808.05322v22018
Perceptual Flow Matching for Few-Step Generative Modeling
Chuyang Zhao, Yifei Song, Hongfa Wang +7
cs.CVarXiv:2607.03524v12026
Mitigating Overthinking in Large Reasoning Models via Manifold Steering
Yao Huang, Huanran Chen, Shouwei Ruan +3
cs.LGcs.AIcs.CLarXiv:2505.22411v22025
Evaluating Agentic Code Repair Capabilities in Distributed Systems
Yibo Yan, Huijuan Wang, Junzhou He +4
cs.SEcs.AIcs.DCarXiv:2608.14863v12026
Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization
Nicole Gehring
math.OCeess.SYarXiv:2608.29693v12026
Training-Aware Target Coverage for Synthetic Data Selection
Yang Ba, Michelle V. Mancenido, Rong Pan
cs.LGcs.AIarXiv:2610.00814v12026
Understanding Data Temporality Impact on Large Language Models Pre-training
Hippolyte Pilchen, Romain Fabre, Franck Signe Talla +2
cs.CLcs.AIarXiv:2605.22769v22026
PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory
Shuai Yang, Bingjie Gao, Ziwei Liu +3
cs.CVarXiv:2606.16449v22026
WebSailor: Navigating Super-human Reasoning for Web Agent
Kuan Li, Zhongwang Zhang, Huifeng Yin +16
cs.CLcs.AIarXiv:2507.02592v12025
A Duality-Based Unified Approach to Bayesian Mechanism Design
Yang Cai, Nikhil R. Devanur, S. Matthew Weinberg
cs.GTarXiv:1812.01577v12018
Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks
Giovanni Perin, Michele Rossi, Enrique Tomás Martínez Beltrán +13
cs.NIcs.AIeess.SParXiv:2609.13872v12026
Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking
Jinlong Peng, Changan Wang, Fangbin Wan +7
cs.CVarXiv:2007.14557v12020
Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization
Gang Wang, Georgios B. Giannakis, Jie Chen
stat.MLcs.ITcs.LGarXiv:1808.04685v22018
Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?
Wang Bill Zhu, Miaosen Chai, Shangshang Wang +5
cs.SEcs.CLarXiv:2604.17338v42026
Mimic Intent, Not Just Trajectories
Renming Huang, Chendong Zeng, Wenjing Tang +3
cs.ROarXiv:2602.08602v32026
StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On
Jeongho Kim, Gyojung Gu, Minho Park +2
cs.CVarXiv:2312.01725v12023
Selective Posterior Margin Regularization for Forward-Corrected Classification
Zexing Zhang, Jichao Li, Tianyang Lei +2
cs.LGcs.CVstat.MLarXiv:2609.05859v12026
K/V-Cache Interventions Dissociate Representation Alignment from Persona Expression in Decoder-Only Language Models
Yu Sun, Mengyin Lu, Cong Feng +2
cs.CLarXiv:2609.11020v12026
TTHE: Test-Time Harness Evolution
Jun Nie, Yonggang Zhang, Jun Song +5
cs.SEcs.LGarXiv:2607.08124v12026
Continuous Sign Language Recognition with Correlation Network
Lianyu Hu, Liqing Gao, Zekang Liu +1
cs.CVarXiv:2303.03202v32023
Structured World Models from Human Videos
Russell Mendonca, Shikhar Bahl, Deepak Pathak
cs.ROcs.AIcs.CVarXiv:2308.10901v12023
Learning Activation Functions to Improve Deep Neural Networks
Forest Agostinelli, Matthew Hoffman, Peter Sadowski +1
cs.NEcs.CVcs.LGarXiv:1412.6830v32014
Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction
Haoting Zhang, Haoxian Chen, Jiayuan Sheng +4
cs.AIarXiv:2608.30050v12026
Generative AI Steering and Human Authoring: Complementary Search-as-Learning Scaffolds in Cross-Session Aggregated Academic Search
Milad Momeni, Orland Hoeber
cs.HCarXiv:2610.12755v12026
Large Language Models
Michael R. Douglas
cs.CLhep-thmath.HOarXiv:2307.05782v22023
GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training
Jiezhong Qiu, Qibin Chen, Yuxiao Dong +5
cs.LGcs.SIstat.MLarXiv:2006.09963v32020
Flower Pollination Algorithm for Global Optimization
Xin-She Yang
math.OCcs.NEnlin.AOarXiv:1312.5673v12013
GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning
Chengqi Duan, Rongyao Fang, Yuqing Wang +5
cs.CVcs.AIcs.CLarXiv:2505.17022v22025
Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems
Longfei Yin, Bruno Clerckx
eess.SPcs.ITmath.ITarXiv:2008.05091v22020

Every paper with a summary

Findings of the BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora

Community structure and scale-free collections of Erdös-Rényi graphs

Stack-Captioning: Coarse-to-Fine Learning for Image Captioning

Divergence controls entropy in distillation

Arbitrarily routed mode-division multiplexed photonic circuits for dense integration

Generating High Fidelity Images with Subscale Pixel Networks and Multidimensional Upscaling

Inertial Proximal Alternating Linearized Minimization (iPALM) for Nonconvex and Nonsmooth Problems

Optimizing the Latent Space of Generative Networks

Generalized Shape Metrics on Neural Representations

Score-Based Generative Data Assimilation for Integrating Aggregated Surveillance Data into Agent-Based Models in Epidemic Tracking

A Widely Applicable Bayesian Information Criterion

Look Before You Lift: Visual and Quantitative Diagnostics for Topological Deep Learning

Progressive Transformers for End-to-End Sign Language Production

ARIES: A Corpus of Scientific Paper Edits Made in Response to Peer Reviews

Sample Complexity of Asynchronous Q-Learning: Sharper Analysis and Variance Reduction

Position Focused Attention Network for Image-Text Matching

Differentiable Learning of Quantum Circuit Born Machine

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot

No One Size Fits All: QueryBandits for Hallucination Mitigation

Accounting for Variance in Machine Learning Benchmarks

HLA-WM: Hybrid Linear Attention for Long-Horizon Video World Models

AgentSpec: Speculative Decoding for Batch Inference of LLM Agents

Recurrent Independent Mechanisms

AdviSD: Learning to Advise Frontier LLMs via Targeted Multi-Turn Self-Distillation

Computing Power and the Governance of Artificial Intelligence

Optimization of photonic crystal nanocavities based on deep learning

DocuTeam: Mixed-Initiative Multi-Agent Discussions around Evolving Documents

Near-Field Wideband Beamforming for Extremely Large Antenna Arrays

Self-Supervised Learning Across Domains

Variational Hamiltonian simulation for translational invariant systems via classical pre-processing

Language Models for Portuguese: A Systematic Mapping Study

Decision-Making with Belief Functions: a Review

Perceptual Flow Matching for Few-Step Generative Modeling

Mitigating Overthinking in Large Reasoning Models via Manifold Steering

Evaluating Agentic Code Repair Capabilities in Distributed Systems

Successive design of backstepping observers for parabolic PDE-ODE systems and its duality to state feedback stabilization

Training-Aware Target Coverage for Synthetic Data Selection

Understanding Data Temporality Impact on Large Language Models Pre-training

PermaVid: Consistent Video Generation Across Edits via Disentangled Context Memory

WebSailor: Navigating Super-human Reasoning for Web Agent

A Duality-Based Unified Approach to Bayesian Mechanism Design

Trustworthy, Explainable, and Sustainable Decentralized Intelligence for 6G Networks

Chained-Tracker: Chaining Paired Attentive Regression Results for End-to-End Joint Multiple-Object Detection and Tracking

Learning ReLU Networks on Linearly Separable Data: Algorithm, Optimality, and Generalization

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Mimic Intent, Not Just Trajectories

StableVITON: Learning Semantic Correspondence with Latent Diffusion Model for Virtual Try-On

Selective Posterior Margin Regularization for Forward-Corrected Classification

K/V-Cache Interventions Dissociate Representation Alignment from Persona Expression in Decoder-Only Language Models

TTHE: Test-Time Harness Evolution

Continuous Sign Language Recognition with Correlation Network

Structured World Models from Human Videos

Learning Activation Functions to Improve Deep Neural Networks

Spec2Twin-Chain: Orchestrating Bi-Level Optimization with LLMs for Blockchain Digital Twin Construction

Generative AI Steering and Human Authoring: Complementary Search-as-Learning Scaffolds in Cross-Session Aggregated Academic Search

Large Language Models

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

Flower Pollination Algorithm for Global Optimization

GoT-R1: Unleashing Reasoning Capability of MLLM for Visual Generation with Reinforcement Learning

Rate-Splitting Multiple Access for Multigroup Multicast and Multibeam Satellite Systems