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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34,321 to 34,380 of 119,952

Multimodal Virtual Point 3D Detection
Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl
cs.CVcs.LGcs.ROarXiv:2111.06881v12021
HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness
Jianing Wang, Linsen Guo, Zhengyu Chen +8
cs.AIarXiv:2605.02396v12026
Quantum computing and the entanglement frontier
John Preskill
quant-phcond-mat.str-elarXiv:1203.5813v32012
When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation
Sy-Tuyen Ho, Minghui Liu, Furong Huang
cs.LGarXiv:2609.20942v12026
Spatially Gated Diffusion for Localized Counterfactual Chest Radiograph Editing
Kamran Ullah Afaq, Basit Raza
eess.IVcs.CVarXiv:2610.00805v12026
Deep Learning Face Representation by Joint Identification-Verification
Yi Sun, Xiaogang Wang, Xiaoou Tang
cs.CVarXiv:1406.4773v12014
Polar Code Based Federated Learning: Convergence Analysis and Resource Allocation
Han Xiao, Wei Kang, Nan Liu
cs.LGarXiv:2608.13961v12026
GraphFM: A Comprehensive Benchmark for Graph Foundation Model
Yuhao Xu, Xinqi Liu, Keyu Duan +4
cs.LGarXiv:2406.08310v22024
Data Cleaning and Query Answering with Matching Dependencies and Matching Functions
Leopoldo Bertossi, Solmaz Kolahi, Laks V. S. Lakshmanan
cs.DBarXiv:1008.3743v12010
LEACE: Perfect linear concept erasure in closed form
Nora Belrose, David Schneider-Joseph, Shauli Ravfogel +3
cs.LGcs.CLcs.CYarXiv:2306.03819v42023
SuperPoint: Self-Supervised Interest Point Detection and Description
Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich
cs.CVarXiv:1712.07629v42017
ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation
Sihan Ren, Gaozheng Li, Yuanshang Quan +5
cs.CVcs.CLarXiv:2610.03022v12026
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study
Yuan Sui, Mengyu Zhou, Mingjie Zhou +2
cs.CLcs.AIcs.IRarXiv:2305.13062v52023
A practical guide to machine learning interatomic potentials -- Status and future
Ryan Jacobs, Dane Morgan, Siamak Attarian +27
cond-mat.mtrl-scics.LGarXiv:2503.09814v12025
ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models
Linqing Zhong, Yi Liu, Yifei Wei +4
cs.ROarXiv:2601.11404v22026
OneRel:Joint Entity and Relation Extraction with One Module in One Step
Yu-Ming Shang, Heyan Huang, Xian-Ling Mao
cs.CLcs.AIarXiv:2203.05412v22022
Siamese Masked Autoencoders
Agrim Gupta, Jiajun Wu, Jia Deng +1
cs.CVcs.LGarXiv:2305.14344v12023
Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning
Minchan Kwon, Seunghee Koh, Sunghyun Baek +2
cs.LGcs.CLarXiv:2610.11152v12026
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Tero Karras, Timo Aila, Samuli Laine +1
cs.NEcs.LGstat.MLarXiv:1710.10196v32017
Foundations of Large Language Models
Tong Xiao, Jingbo Zhu
cs.CLcs.AIcs.LGarXiv:2501.09223v42025
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
Shuai Zhao, Jinming Wen, Luu Anh Tuan +2
cs.CLcs.AIarXiv:2305.01219v62023
Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans
Jinglei Ren, Yuyue Wang
cs.CLcs.AIarXiv:2608.14681v12026
Detail-Preserving Transformer for Light Field Image Super-Resolution
Shunzhou Wang, Tianfei Zhou, Yao Lu +1
cs.CVarXiv:2201.00346v12022
TopK-Guided: Adaptive, Budget-Aware Activation Sparsity for Efficient LLM Inference
Mukund Agarwalla, Chih-Jen Lin
cs.AIarXiv:2610.01763v12026
Anytime-valid simulation-based hypothesis testing
Patrick Forré, Lydia Brenner
stat.MLcs.LGmath.STarXiv:2610.08210v12026
Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers
Shuhong Zheng, Michael Oechsle, Erik Sandström +3
cs.CVcs.AIcs.GRarXiv:2605.23892v12026
RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation
Liuzhenghao Lv, Yuyang Liu, Yuyang Gao +2
cs.CEq-bio.BMarXiv:2610.01891v12026
Anomaly Detection for Resonant New Physics with Machine Learning
Jack H. Collins, Kiel Howe, Benjamin Nachman
hep-phhep-exarXiv:1805.02664v32018
A Theoretical Framework for Masked Pretraining (MPT)
Qi Zhang, Runyu Zhou, Yifei Wang +1
cs.LGarXiv:2609.06460v12026
Multimodal Music Recommendation System using LLMs
Srikar Prabhas Kandagatla, Sreehitha R. Narayana, Chandana Magapu +6
cs.IRcs.AIcs.LGarXiv:2606.00125v12026
The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning
Eduardo Sánchez, Rita Berrada, Dan-Mircea Mirea +8
cs.CLarXiv:2608.18011v12026
Trajectory Anomaly Detection with Language Models
Jonathan Mbuya, Dieter Pfoser, Antonios Anastasopoulos
cs.LGcs.AIarXiv:2409.15366v12024
From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation
Tonmoy Hasan, Taylor Foust, Shao Tang +6
cs.IRarXiv:2610.04302v12026
A Dynamic Toolkit for Transmission Characteristics of Precision Reducers with Explicit Contact Geometry
Jiacheng Miao, Chao Liu, Qiliang Wang +2
cs.ROeess.SYarXiv:2604.02387v22026
The BR1 Scheme is Stable for the Compressible Navier-Stokes Equations
Gregor J. Gassner, Andrew R. Winters, Florian J. Hindenlang +1
math.NAcs.NAarXiv:1704.03646v22017
Neural Optimal Transport
Alexander Korotin, Daniil Selikhanovych, Evgeny Burnaev
cs.LGarXiv:2201.12220v32022
Compiler-Guided Adaptive Proof Search with Cross-Model Synergy on Context-Dependent Theorem Proving
Zhuo Liu, Ding Yu, Hangfeng He
cs.CLcs.PLarXiv:2608.18084v12026
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
Benjamin Bischke, Patrick Helber, Joachim Folz +2
cs.CVarXiv:1709.05932v12017
What do we know about software development in startups?
Carmine Giardino, Michael Unterkalmsteiner, Nicolò Paternoster +2
cs.SEarXiv:2307.13707v12023
Characterizing Multi-Cell Pinching-Antenna Transmission: Revealing the Other Side of the Coin
Zhiguo Ding
cs.ITmath.ITarXiv:2609.09585v12026
Variational Bayesian Inference with Stochastic Search
John Paisley, David Blei, Michael Jordan
cs.LGstat.COstat.MLarXiv:1206.6430v12012
The Coverage Principle: How Pre-Training Enables Post-Training
Fan Chen, Audrey Huang, Noah Golowich +5
stat.MLcs.AIcs.CLarXiv:2510.15020v22025
Pronunciation Editing for Finnish Speech using Phonetic Posteriorgrams
Zirui Li, Lauri Juvela, Mikko Kurimo
eess.AScs.CLarXiv:2507.02115v32025
Iterative Geometry Encoding Volume for Stereo Matching
Gangwei Xu, Xianqi Wang, Xiaohuan Ding +1
cs.CVarXiv:2303.06615v22023
Integrated Imputation-Classification for Supervised Learning with Missing Data
Yue Liu, Ben Liang, Ali Tizghadam +1
cs.LGarXiv:2610.04273v12026
Strong aggregation of the Markov chains associated with matching models based on the automorphism group of their compatibility graphs
Moyi Yang, Jean-Michel Fourneau
cs.PFarXiv:2609.16861v12026
Not only where, But when: Temporal Scheduling for RLVR
Jinghao Zhang, Ruilin Li, Feng Zhao +1
cs.LGarXiv:2605.25381v12026
On the Locality of Codeword Symbols
Parikshit Gopalan, Cheng Huang, Huseyin Simitci +1
cs.ITcs.CCcs.DMarXiv:1106.3625v12011
Achieving Human Parity in Conversational Speech Recognition
W. Xiong, J. Droppo, X. Huang +5
cs.CLeess.ASarXiv:1610.05256v22016
Asynchronous Parallel Search for Exact Multi-Objective Shortest Paths with Versioned Frontier Snapshots and Indexed Dominance Pruning
Xiaoqing Xu, Ning Zhang, Liuyihui Qian +3
cs.DCarXiv:2609.11944v12026
The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data
Joris Bierkens, Paul Fearnhead, Gareth Roberts
stat.COmath.PRarXiv:1607.03188v22016
MARS-M: When Variance Reduction Meets Matrices
Yifeng Liu, Angela Yuan, Quanquan Gu
cs.LGmath.OCstat.MLarXiv:2510.21800v32025
Task-Anchored Representation Shaping for Pre-Trained Model-Based Continual Learning
Zhiming Xu, Huiyu Yi, Zhen-Hao Xie +4
cs.LGarXiv:2608.16345v12026
Batched Feedback and the Random-Access Wall in Search-Based Graph Construction
Édgar Chávez
cs.DBarXiv:2609.30493v12026
AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents
Michael Ahn, Debidatta Dwibedi, Chelsea Finn +25
cs.ROcs.AIcs.CLarXiv:2401.12963v22024
Multi-LLM Collaborative Alignment via Stackelberg Games
Christina Hahn, Shangbin Feng, Dean Light +3
cs.AIcs.LGarXiv:2609.39076v12026
Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?
Fumiaki Kimino, Ryoma Sato
cs.LGcs.CLarXiv:2608.25741v12026
Reaction-Transformation-Aware Flow Matching for Generalizable Transition State Generation
Kaipeng Zeng, Wenxi Zhai, Shengrui Xu +5
physics.chem-phcs.AIarXiv:2608.14076v12026
Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilities
Linh Le, Hong Kiat Tan, David Williams-King
cs.LGcs.AIarXiv:2608.29458v12026
ROOT: Discovering Rewards for User-Specified Embodied Behaviors
Eren Sadikoglu, Aditya Taparia, Xinyuan Liu +1
cs.ROarXiv:2610.04250v12026

Every paper with a summary

Multimodal Virtual Point 3D Detection

HeavySkill: Heavy Thinking as the Inner Skill in Agentic Harness

Quantum computing and the entanglement frontier

When AI Reviews Train AI Reviewers: Scientific-Judgment Collapse and Mitigation

Spatially Gated Diffusion for Localized Counterfactual Chest Radiograph Editing

Deep Learning Face Representation by Joint Identification-Verification

Polar Code Based Federated Learning: Convergence Analysis and Resource Allocation

GraphFM: A Comprehensive Benchmark for Graph Foundation Model

Data Cleaning and Query Answering with Matching Dependencies and Matching Functions

LEACE: Perfect linear concept erasure in closed form

SuperPoint: Self-Supervised Interest Point Detection and Description

ReSCUE: Re-translation with Sentence Commitment for Unsegmented Long-Form Simultaneous Sign Language Translation

Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study

A practical guide to machine learning interatomic potentials -- Status and future

ACoT-VLA: Action Chain-of-Thought for Vision-Language-Action Models

OneRel:Joint Entity and Relation Extraction with One Module in One Step

Siamese Masked Autoencoders

Do LLMs Learn from Rewards in Context? : Rethinking the role of reward in In-Context Reinforcement Learning

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Foundations of Large Language Models

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models

Automatic or Controlled? Repetition Priming Reveals Divergent Processing in Base LLMs, Instruct LLMs, and Humans

Detail-Preserving Transformer for Light Field Image Super-Resolution

TopK-Guided: Adaptive, Budget-Aware Activation Sparsity for Efficient LLM Inference

Anytime-valid simulation-based hypothesis testing

Good Token Hunting: A Hitchhiker's Guide to Token Selection for Visual Geometry Transformers

RipplePLM: Structural and Property Decoupling for Protein Mutation Effect Generation

Anomaly Detection for Resonant New Physics with Machine Learning

A Theoretical Framework for Masked Pretraining (MPT)

Multimodal Music Recommendation System using LLMs

The IOL-AI Challenge: An Open Challenge towards Advancing Linguistic Reasoning

Trajectory Anomaly Detection with Language Models

From Valid to Useful: Post-Verification Acquisition for Recursive Self-Improving Recommendation

A Dynamic Toolkit for Transmission Characteristics of Precision Reducers with Explicit Contact Geometry

The BR1 Scheme is Stable for the Compressible Navier-Stokes Equations

Neural Optimal Transport

Compiler-Guided Adaptive Proof Search with Cross-Model Synergy on Context-Dependent Theorem Proving

Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks

What do we know about software development in startups?

Characterizing Multi-Cell Pinching-Antenna Transmission: Revealing the Other Side of the Coin

Variational Bayesian Inference with Stochastic Search

The Coverage Principle: How Pre-Training Enables Post-Training

Pronunciation Editing for Finnish Speech using Phonetic Posteriorgrams

Iterative Geometry Encoding Volume for Stereo Matching

Integrated Imputation-Classification for Supervised Learning with Missing Data

Strong aggregation of the Markov chains associated with matching models based on the automorphism group of their compatibility graphs

Not only where, But when: Temporal Scheduling for RLVR

On the Locality of Codeword Symbols

Achieving Human Parity in Conversational Speech Recognition

Asynchronous Parallel Search for Exact Multi-Objective Shortest Paths with Versioned Frontier Snapshots and Indexed Dominance Pruning

The Zig-Zag Process and Super-Efficient Sampling for Bayesian Analysis of Big Data

MARS-M: When Variance Reduction Meets Matrices

Task-Anchored Representation Shaping for Pre-Trained Model-Based Continual Learning

Batched Feedback and the Random-Access Wall in Search-Based Graph Construction

AutoRT: Embodied Foundation Models for Large Scale Orchestration of Robotic Agents

Multi-LLM Collaborative Alignment via Stackelberg Games

Why Does Graph Learning Fail to Fully Benefit from a Text Teacher?

Reaction-Transformation-Aware Flow Matching for Generalizable Transition State Generation

Reference-Grafting Matches Fine-Tuning at Eliciting Sandbagged Capabilities

ROOT: Discovering Rewards for User-Specified Embodied Behaviors