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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19,861 to 19,920 of 119,983

A Scalable Handwritten Text Recognition System
R. Reeve Ingle, Yasuhisa Fujii, Thomas Deselaers +2
cs.CVarXiv:1904.09150v22019
Handwriting Recognition in Low-resource Scripts using Adversarial Learning
Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia +2
cs.CVarXiv:1811.01396v52018
Adversarial Generation of Handwritten Text Images Conditioned on Sequences
Eloi Alonso, Bastien Moysset, Ronaldo Messina
cs.CVarXiv:1903.00277v12019
Generative Adversarial Network for Handwritten Text
Bo Ji, Tianyi Chen
cs.LGcs.CVarXiv:1907.11845v32019
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations
Yuma Koizumi, Heiga Zen, Shigeki Karita +7
cs.SDcs.LGeess.ASarXiv:2303.01664v22023
A useful variant of the Davis--Kahan theorem for statisticians
Yi Yu, Tengyao Wang, Richard J. Samworth
math.STstat.THarXiv:1405.0680v12014
New Cardinality Estimation Methods for HyperLogLog Sketches
Otmar Ertl
cs.DSarXiv:1706.07290v12017
Hashing-Accelerated Graph Neural Networks for Link Prediction
Wei Wu, Bin Li, Chuan Luo +1
cs.LGcs.SIarXiv:2105.14280v12021
Tweets on the road
Maxime Lenormand, Antònia Tugores, Pere Colet +1
physics.soc-phcs.CYcs.SIarXiv:1405.5070v12014
Gender homophily from spatial behavior in a primary school: a sociometric study
J. Stehlé, F. Charbonnier, T. Picard +2
physics.soc-phcs.SIarXiv:1306.5961v22013
AutoCode: LLMs as Problem Setters for Competitive Programming
Shang Zhou, Zihan Zheng, Kaiyuan Liu +18
cs.SEcs.AIcs.CLarXiv:2510.12803v12025
Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling
Yuejiang Liu, Jubayer Ibn Hamid, Annie Xie +3
cs.ROcs.AIcs.LGarXiv:2408.17355v42024
Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator
David A. Haggerty, Michael J. Banks, Patrick C. Curtis +2
cs.ROcs.SYeess.SYarXiv:2011.07939v12020
Demonstration-Free Robotic Control via LLM Agents
Brian Y. Tsui, Alan Y. Fang, Tiffany J. Hwu
cs.ROcs.AIcs.LGarXiv:2601.20334v22026
Neuromorphic Eye-in-Hand Visual Servoing
Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani +3
cs.ROcs.CVcs.SYarXiv:2004.07398v12020
Real-Time Grasping Strategies Using Event Camera
Xiaoqian Huang, Mohamad Halwani, Rajkumar Muthusamy +5
cs.ROarXiv:2107.07200v12021
A MATLAB Toolbox for Hybrid Rigid Soft Robots Based on the Geometric Variable Strain Approach
Anup Teejo Mathew, Ikhlas Ben Hmida, Costanza Armanini +2
cs.ROphysics.app-pharXiv:2107.05494v22021
ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds
Daniel Seita, Yufei Wang, Sarthak J. Shetty +3
cs.ROarXiv:2211.09006v12022
DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving
Shuyao Shang, Yuntao Chen, Yuqi Wang +2
cs.ROcs.CVarXiv:2509.17940v12025
A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features
Tim Salimans
stat.MLcs.LGstat.COarXiv:1602.08734v12016
Controlling a CyberOctopus Soft Arm with Muscle-like Actuation
Heng-Sheng Chang, Udit Halder, Ekaterina Gribkova +4
cs.ROcs.SYeess.SYarXiv:2010.03368v22020
Soft Robot Optimal Control Via Reduced Order Finite Element Models
Sander Tonkens, Joseph Lorenzetti, Marco Pavone
cs.ROarXiv:2011.02092v22020
GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving
Ziying Song, Caiyan Jia, Lin Liu +8
cs.CVarXiv:2606.16274v12026
DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation
Yunchao Yao, Zhuxiu Xu, Tianqi Zhang +12
cs.ROarXiv:2607.08751v12026
ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving
Zhiyu Zheng, Shaoyu Chen, Haoran Yin +5
cs.CVcs.ROarXiv:2510.08562v22025
Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement
Mingtong Zhang, Dhruv Shah
cs.ROcs.AIarXiv:2606.18247v12026
Addressing the Orchestration Gap in Generalist Robots via Physical Agency
Liane Galanti, Dhruv Shah, Tri Dao
cs.ROarXiv:2607.21725v12026
Convex geometry of quantum resource quantification
Bartosz Regula
quant-phmath-phmath.MParXiv:1707.06298v62017
Automated Extraction and Analysis of Developer's Rationale in Open Source Software
Mouna Dhaouadi, Bentley Oakes, Michalis Famelis
cs.SEarXiv:2506.11005v12025
Predictive Chemistry Augmented with Text Retrieval
Yujie Qian, Zhening Li, Zhengkai Tu +2
cs.CLcs.AIcs.IRarXiv:2312.04881v12023
The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind
Andrei Lupu, Timon Willi, Jakob Foerster
cs.AIcs.CLcs.HCarXiv:2506.20664v12025
The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs
Lance Ying, Katherine M. Collins, Megan Wei +5
cs.AIcs.LGarXiv:2306.14325v22023
Learning From Developers: Towards Reliable Patch Validation at Scale for Linux
Chih-En Lin, Attreyee Mukherjee, Ajay Rawat +2
cs.SEcs.AIarXiv:2603.24825v12026
Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution
Kai Yu, Zhenhao Zhou, Junhao Zeng +8
cs.SEcs.AIarXiv:2604.05955v12026
MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions
Pucheng Dang, Di Huang, Dong Li +4
cs.SEcs.AIcs.OSarXiv:2504.09474v42025
ChainSWE: Benchmarking Coding Agents on Multi-Bug Software Maintenance
Qirui Jin, Lingching Tung, Kenan Li +12
cs.SEarXiv:2607.02606v22026
End-to-End Rationale Reconstruction
Mouna Dhaouadi, Bentley James Oakes, Michalis Famelis
cs.SEarXiv:2209.00398v12022
MigrationBench: Repository-Level Code Migration Benchmark from Java 8
Linbo Liu, Xinle Liu, Qiang Zhou +8
cs.SEarXiv:2505.09569v32025
Enhancing Automated Program Repair with Solution Design
Jiuang Zhao, Donghao Yang, Li Zhang +3
cs.SEcs.AIarXiv:2408.12056v22024
Code Review Agent Benchmark
Yuntong Zhang, Zhiyuan Pan, Imam Nur Bani Yusuf +3
cs.SEcs.AIarXiv:2603.23448v32026
Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts
Sheng Ouyang, Yihao Qin, Bo Lin +3
cs.SEarXiv:2503.17953v12025
SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent
Yikai Zhang, Jiaxin Pei, Kenan Li +9
cs.SEcs.CLarXiv:2604.26102v22026
The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs
Yonghong Deng, Zhen Yang, Ping Jian +4
cs.AIcs.LGarXiv:2603.08234v22026
Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States
Yang Xiao, Jiashuo Wang, Qiancheng Xu +5
cs.CLcs.CYarXiv:2505.17663v22025
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
Eitan Wagner, Nitay Alon, Joseph M. Barnby +1
cs.AIcs.CLarXiv:2412.13631v32024
Probing the Robustness of Theory of Mind in Large Language Models
Christian Nickel, Laura Schrewe, Lucie Flek
cs.CLcs.AIarXiv:2410.06271v12024
More Bang for Your Buck: Natural Perturbation for Robust Question Answering
Daniel Khashabi, Tushar Khot, Ashish Sabharwal
cs.CLcs.AIcs.LGarXiv:2004.04849v22020
Symbol tuning improves in-context learning in language models
Jerry Wei, Le Hou, Andrew Lampinen +8
cs.CLarXiv:2305.08298v22023
Concealed Data Poisoning Attacks on NLP Models
Eric Wallace, Tony Z. Zhao, Shi Feng +1
cs.CLarXiv:2010.12563v22020
Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities
Utsav Maskey, Chencheng Zhu, Usman Naseem
cs.CLarXiv:2505.24621v32025
Summaries:简体中文
Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations
Chenglei Si, Dan Friedman, Nitish Joshi +3
cs.CLcs.AIcs.LGarXiv:2305.13299v12023
Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers
Quanyu Long, Yue Deng, LeiLei Gan +2
cs.CLarXiv:2402.13532v32024
Triggerless Backdoor Attack for NLP Tasks with Clean Labels
Leilei Gan, Jiwei Li, Tianwei Zhang +6
cs.CLcs.AIcs.CRarXiv:2111.07970v22021
Training-free Lexical Backdoor Attacks on Language Models
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu +3
cs.CRcs.AIcs.CLarXiv:2302.04116v12023
Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets
David Froelicher, Juan R. Troncoso-Pastoriza, Joao Sa Sousa +1
cs.CRarXiv:1902.03785v32019
PrivFT: Private and Fast Text Classification with Homomorphic Encryption
Ahmad Al Badawi, Luong Hoang, Chan Fook Mun +2
cs.CRcs.LGarXiv:1908.06972v22019
Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?
Egor Zverev, Sahar Abdelnabi, Soroush Tabesh +2
cs.LGcs.CLarXiv:2403.06833v32024
Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression
Or Sheffet
cs.DSarXiv:1507.00056v22015
Scalable Privacy-Preserving Distributed Learning
David Froelicher, Juan R. Troncoso-Pastoriza, Apostolos Pyrgelis +4
cs.CRarXiv:2005.09532v52020
Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications
Xuchen Suo
cs.CRcs.AIarXiv:2401.07612v12024

Every paper with a summary

A Scalable Handwritten Text Recognition System

Handwriting Recognition in Low-resource Scripts using Adversarial Learning

Adversarial Generation of Handwritten Text Images Conditioned on Sequences

Generative Adversarial Network for Handwritten Text

Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations

A useful variant of the Davis--Kahan theorem for statisticians

New Cardinality Estimation Methods for HyperLogLog Sketches

Hashing-Accelerated Graph Neural Networks for Link Prediction

Tweets on the road

Gender homophily from spatial behavior in a primary school: a sociometric study

AutoCode: LLMs as Problem Setters for Competitive Programming

Bidirectional Decoding: Improving Action Chunking via Guided Test-Time Sampling

Modeling, Reduction, and Control of a Helically Actuated Inertial Soft Robotic Arm via the Koopman Operator

Demonstration-Free Robotic Control via LLM Agents

Neuromorphic Eye-in-Hand Visual Servoing

Real-Time Grasping Strategies Using Event Camera

A MATLAB Toolbox for Hybrid Rigid Soft Robots Based on the Geometric Variable Strain Approach

ToolFlowNet: Robotic Manipulation with Tools via Predicting Tool Flow from Point Clouds

DriveDPO: Policy Learning via Safety DPO For End-to-End Autonomous Driving

A Structured Variational Auto-encoder for Learning Deep Hierarchies of Sparse Features

Controlling a CyberOctopus Soft Arm with Muscle-like Actuation

Soft Robot Optimal Control Via Reduced Order Finite Element Models

GraphWorld: Long-Horizon Planning with World Models for End-to-End Autonomous Driving

DexVerse: A Modular Benchmark for Multi-Task, Multi-Embodiment Dexterous Manipulation

ResAD: Normalized Residual Trajectory Modeling for End-to-End Autonomous Driving

Visual Verification Enables Inference-time Steering and Autonomous Policy Improvement

Addressing the Orchestration Gap in Generalist Robots via Physical Agency

Convex geometry of quantum resource quantification

Automated Extraction and Analysis of Developer's Rationale in Open Source Software

Predictive Chemistry Augmented with Text Retrieval

The Decrypto Benchmark for Multi-Agent Reasoning and Theory of Mind

The Neuro-Symbolic Inverse Planning Engine (NIPE): Modeling Probabilistic Social Inferences from Linguistic Inputs

Learning From Developers: Towards Reliable Patch Validation at Scale for Linux

Does Pass Rate Tell the Whole Story? Evaluating Design Constraint Compliance in LLM-based Issue Resolution

MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions

ChainSWE: Benchmarking Coding Agents on Multi-Bug Software Maintenance

End-to-End Rationale Reconstruction

MigrationBench: Repository-Level Code Migration Benchmark from Java 8

Enhancing Automated Program Repair with Solution Design

Code Review Agent Benchmark

Smoke and Mirrors: Jailbreaking LLM-based Code Generation via Implicit Malicious Prompts

SWE-Edit: Rethinking Code Editing for Efficient SWE-Agent

The Struggle Between Continuation and Refusal: A Mechanistic Analysis of the Continuation-Triggered Jailbreak in LLMs

Towards Dynamic Theory of Mind: Evaluating LLM Adaptation to Temporal Evolution of Human States

Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning

Probing the Robustness of Theory of Mind in Large Language Models

More Bang for Your Buck: Natural Perturbation for Robust Question Answering

Symbol tuning improves in-context learning in language models

Concealed Data Poisoning Attacks on NLP Models

Benchmarking Large Language Models for Cryptanalysis and Side-Channel Vulnerabilities

Measuring Inductive Biases of In-Context Learning with Underspecified Demonstrations

Backdoor Attacks on Dense Retrieval via Public and Unintentional Triggers

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

Training-free Lexical Backdoor Attacks on Language Models

Drynx: Decentralized, Secure, Verifiable System for Statistical Queries and Machine Learning on Distributed Datasets

PrivFT: Private and Fast Text Classification with Homomorphic Encryption

Can LLMs Separate Instructions From Data? And What Do We Even Mean By That?

Private Approximations of the 2nd-Moment Matrix Using Existing Techniques in Linear Regression

Scalable Privacy-Preserving Distributed Learning

Signed-Prompt: A New Approach to Prevent Prompt Injection Attacks Against LLM-Integrated Applications