Artificial Intelligence

Papers filed under cs.AI on arXiv, each one already summarized by Paperlayer. 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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16,021 to 16,080 of 28,227

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models
Tan Khang Le, Saba Alimadadi, Steven Y. Ko
cs.CRcs.AIarXiv:2403.13193v12024
MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers
Yiwen Chen, Tong He, Di Huang +9
cs.CVcs.AIarXiv:2406.10163v22024
MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions
Mattia Soldan, Alejandro Pardo, Juan León Alcázar +4
cs.CVcs.AIarXiv:2112.00431v22021
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi +4
cs.CLcs.AIarXiv:2101.00408v22021
CLIPasso: Semantically-Aware Object Sketching
Yael Vinker, Ehsan Pajouheshgar, Jessica Y. Bo +5
cs.GRcs.AIcs.CVarXiv:2202.05822v22022
ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language
Oyvind Tafjord, Bhavana Dalvi Mishra, Peter Clark
cs.CLcs.AIarXiv:2012.13048v22020
Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?
Lorenzo Molfetta, Alessio Cocchieri, Luca Ragazzi +3
cs.CYcs.AIcs.CLarXiv:2608.21409v12026
Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization
Bernardo Aceituno-Cabezas, Carlos Mastalli, Hongkai Dai +7
cs.ROcs.AIeess.SYarXiv:1904.04595v12019
Avoiding Side Effects By Considering Future Tasks
Victoria Krakovna, Laurent Orseau, Richard Ngo +2
cs.LGcs.AIarXiv:2010.07877v12020
Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers
Benjamin Eysenbach, Swapnil Asawa, Shreyas Chaudhari +2
cs.LGcs.AIcs.ROarXiv:2006.13916v22020
SciMON: Scientific Inspiration Machines Optimized for Novelty
Qingyun Wang, Doug Downey, Heng Ji +1
cs.CLcs.AIcs.LGarXiv:2305.14259v72023
iS-KV: Online Low-Rank KV Cache Compression via Block-Incremental SVD
Yiren Zhao, Guanghui Song, Tianrui Qin +3
cs.AIarXiv:2610.02815v12026
EPT-2 Technical Report
Roberto Molinaro, Niall Siegenheim, Niels Poulsen +12
cs.LGcs.AIarXiv:2507.09703v12025
OpenSpiel: A Framework for Reinforcement Learning in Games
Marc Lanctot, Edward Lockhart, Jean-Baptiste Lespiau +24
cs.LGcs.AIcs.GTarXiv:1908.09453v62019
CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation
Haodong Li, Chunmei Qing, Huanyu Zhang +11
cs.AIarXiv:2603.08652v22026
Enhancing Chat Language Models by Scaling High-quality Instructional Conversations
Ning Ding, Yulin Chen, Bokai Xu +6
cs.CLcs.AIarXiv:2305.14233v12023
Is Temperature the Creativity Parameter of Large Language Models?
Max Peeperkorn, Tom Kouwenhoven, Dan Brown +1
cs.CLcs.AIarXiv:2405.00492v12024
TurboTransformers: An Efficient GPU Serving System For Transformer Models
Jiarui Fang, Yang Yu, Chengduo Zhao +1
cs.DCcs.AIcs.LGarXiv:2010.05680v42020
SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation
Jingxuan Chen, Derek Yuen, Bin Xie +14
cs.AIarXiv:2410.15164v32024
AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents
Yifan Xu, Xiao Liu, Xueqiao Sun +7
cs.AIarXiv:2410.24024v22024
RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback
Xiaoying Zhang, Zichen Liu, Yipeng Zhang +2
cs.AIarXiv:2603.08561v62026
Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming
Ian Steenstra, Paola Pedrelli, Weiyan Shi +2
cs.CLcs.AIcs.CYarXiv:2602.19948v22026
Learn to Unlearn: A Survey on Machine Unlearning
Youyang Qu, Xin Yuan, Ming Ding +3
cs.LGcs.AIarXiv:2305.07512v22023
OCR-free Document Understanding Transformer
Geewook Kim, Teakgyu Hong, Moonbin Yim +7
cs.LGcs.AIarXiv:2111.15664v52021
TorchMD: A deep learning framework for molecular simulations
Stefan Doerr, Maciej Majewsk, Adrià Pérez +5
physics.chem-phcs.AIarXiv:2012.12106v12020
Release Strategies and the Social Impacts of Language Models
Irene Solaiman, Miles Brundage, Jack Clark +12
cs.CLcs.AIcs.CYarXiv:1908.09203v22019
CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception
Weize Li, Yang Li, Quan Yuan +3
cs.AIarXiv:2609.03818v12026
MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning
Dong Liu, Yanxuan Yu, Ben Lengerich +1
cs.LGcs.AIarXiv:2603.20586v22026
Is Visual Prompting All You Need? Studying VLM Spatial Reasoning under Progressive Visual Scaffolds
Lars Benedikt Kaesberg, Tianyu Yang, Florian Valentin Wunderlich +4
cs.CVcs.AIarXiv:2608.21170v12026
KAN: Kolmogorov-Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya +5
cs.LGcond-mat.dis-nncs.AIarXiv:2404.19756v52024
Generator-Independent Runtime Assurance under Partial Observation
Guangxi Wan, Yongbo Xie, Yuqi Liu +4
cs.AIarXiv:2609.06036v12026
MEMO: A Deep Network for Flexible Combination of Episodic Memories
Andrea Banino, Adrià Puigdomènech Badia, Raphael Köster +7
cs.LGcs.AIarXiv:2001.10913v12020
ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification
Yefei He, Luoming Zhang, Weijia Wu +3
cs.LGcs.AIarXiv:2405.14256v12024
Science Done on a Machine by a Machine: AI Agents in Computational Chemistry
Pavlo O. Dral, Hassan Nawaz, Arif Ullah
physics.chem-phcs.AIphysics.comp-pharXiv:2608.18508v12026
CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
Ruixiang Jiang, Lingbo Liu, Changwen Chen
cs.CVcs.AIarXiv:2305.07304v22023
Fredformer: Frequency Debiased Transformer for Time Series Forecasting
Xihao Piao, Zheng Chen, Taichi Murayama +2
cs.LGcs.AIarXiv:2406.09009v42024
A Survey of Imitation Learning Methods, Environments and Metrics
Nathan Gavenski, Felipe Meneguzzi, Michael Luck +1
cs.LGcs.AIarXiv:2404.19456v22024
Discovering Agents
Zachary Kenton, Ramana Kumar, Sebastian Farquhar +3
cs.AIcs.LGarXiv:2208.08345v22022
A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective
Tita Alissa Bach, Amna Khan, Harry Hallock +2
cs.HCcs.AIcs.CYarXiv:2304.08795v12023
Pose-Normalized Image Generation for Person Re-identification
Xuelin Qian, Yanwei Fu, Tao Xiang +5
cs.CVcs.AIcs.MMarXiv:1712.02225v62017
TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation
Weixi Feng, Jiachen Li, Michael Saxon +3
cs.CVcs.AIcs.CLarXiv:2406.08656v12024
Adversarial Attack and Defense on Graph Data: A Survey
Lichao Sun, Yingtong Dou, Carl Yang +5
cs.CRcs.AIcs.SIarXiv:1812.10528v42018
Visual Instruction Tuning
Haotian Liu, Chunyuan Li, Qingyang Wu +1
cs.CVcs.AIcs.CLarXiv:2304.08485v22023
Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR
Sandra Wachter, Brent Mittelstadt, Chris Russell
cs.AIarXiv:1711.00399v32017
LeanPlan: Optimal Planning with LLM-Generated Heuristics and Admissibility Proofs
André G. Pereira, Augusto B. Corrêa, Felipe Meneguzzi +1
cs.AIcs.LGcs.SCarXiv:2610.08246v12026
Combating Fake News: A Survey on Identification and Mitigation Techniques
Karishma Sharma, Feng Qian, He Jiang +3
cs.LGcs.AIcs.SIarXiv:1901.06437v12019
Rectifying LLM Thought from Lens of Optimization
Junnan Liu, Hongwei Liu, Songyang Zhang +1
cs.CLcs.AIarXiv:2512.01925v22025
MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction
Balakrishnan Varadarajan, Ahmed Hefny, Avikalp Srivastava +8
cs.CVcs.AIcs.LGarXiv:2111.14973v32021
On the Risk of Misinformation Pollution with Large Language Models
Yikang Pan, Liangming Pan, Wenhu Chen +3
cs.CLcs.AIarXiv:2305.13661v22023
Analyzing Federated Learning through an Adversarial Lens
Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal +1
cs.LGcs.AIcs.CRarXiv:1811.12470v42018
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT
Chong Ma, Zihao Wu, Jiaqi Wang +13
cs.CLcs.AIarXiv:2304.08448v32023
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
Zhangchen Xu, Fengqing Jiang, Luyao Niu +4
cs.CLcs.AIarXiv:2406.08464v22024
Summaries:한국어
Solving Math Word Problems by Combining Language Models With Symbolic Solvers
Joy He-Yueya, Gabriel Poesia, Rose E. Wang +1
cs.CLcs.AIarXiv:2304.09102v12023
VizML: A Machine Learning Approach to Visualization Recommendation
Kevin Z. Hu, Michiel A. Bakker, Stephen Li +2
cs.HCcs.AIcs.LGarXiv:1808.04819v12018
Robust Filtering and Smoothing with Gaussian Processes
Marc Peter Deisenroth, Ryan Turner, Marco F. Huber +2
eess.SYcs.AIcs.ROarXiv:1203.4345v12012
Towards Automatic Face-to-Face Translation
Prajwal K R, Rudrabha Mukhopadhyay, Jerin Philip +3
cs.CVcs.AIcs.LGarXiv:2003.00418v12020
Scaling RL to Long Videos
Yukang Chen, Wei Huang, Baifeng Shi +11
cs.CVcs.AIcs.CLarXiv:2507.07966v42025
A Survey on Diffusion Models for Time Series and Spatio-Temporal Data
Yiyuan Yang, Ming Jin, Haomin Wen +9
cs.LGcs.AIarXiv:2404.18886v52024
Do Language Models Use Their Depth Efficiently?
Róbert Csordás, Christopher D. Manning, Christopher Potts
cs.LGcs.AIcs.NEarXiv:2505.13898v32025
FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation
Kewei Li, Rongying Zhang, Xueli Wang +6
cs.AIq-bio.BMarXiv:2609.00831v12026

Artificial Intelligence

A Study of Vulnerability Repair in JavaScript Programs with Large Language Models

MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers

MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

CLIPasso: Semantically-Aware Object Sketching

ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?

Simultaneous Contact, Gait and Motion Planning for Robust Multi-Legged Locomotion via Mixed-Integer Convex Optimization

Avoiding Side Effects By Considering Future Tasks

Off-Dynamics Reinforcement Learning: Training for Transfer with Domain Classifiers

SciMON: Scientific Inspiration Machines Optimized for Novelty

iS-KV: Online Low-Rank KV Cache Compression via Block-Incremental SVD

EPT-2 Technical Report

OpenSpiel: A Framework for Reinforcement Learning in Games

CoCo: Code as CoT for Text-to-Image Preview and Rare Concept Generation

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Is Temperature the Creativity Parameter of Large Language Models?

TurboTransformers: An Efficient GPU Serving System For Transformer Models

SPA-Bench: A Comprehensive Benchmark for SmartPhone Agent Evaluation

AndroidLab: Training and Systematic Benchmarking of Android Autonomous Agents

RetroAgent: From Solving to Evolving via Retrospective Dual Intrinsic Feedback

Assessing Risks of Large Language Models in Mental Health Support: A Framework for Automated Clinical AI Red Teaming

Learn to Unlearn: A Survey on Machine Unlearning

OCR-free Document Understanding Transformer

TorchMD: A deep learning framework for molecular simulations

Release Strategies and the Social Impacts of Language Models

CauseCollab: Causal Unified and Modality-Agnostic Network for Heterogeneous Collaborative Perception

MKA: Memory-Keyed Attention for Efficient Long-Context Reasoning

Is Visual Prompting All You Need? Studying VLM Spatial Reasoning under Progressive Visual Scaffolds

KAN: Kolmogorov-Arnold Networks

Generator-Independent Runtime Assurance under Partial Observation

MEMO: A Deep Network for Flexible Combination of Episodic Memories

ZipCache: Accurate and Efficient KV Cache Quantization with Salient Token Identification

Science Done on a Machine by a Machine: AI Agents in Computational Chemistry

CLIP-Count: Towards Text-Guided Zero-Shot Object Counting

Fredformer: Frequency Debiased Transformer for Time Series Forecasting

A Survey of Imitation Learning Methods, Environments and Metrics

Discovering Agents

A Systematic Literature Review of User Trust in AI-Enabled Systems: An HCI Perspective

Pose-Normalized Image Generation for Person Re-identification

TC-Bench: Benchmarking Temporal Compositionality in Text-to-Video and Image-to-Video Generation

Adversarial Attack and Defense on Graph Data: A Survey

Visual Instruction Tuning

Counterfactual Explanations without Opening the Black Box: Automated Decisions and the GDPR

LeanPlan: Optimal Planning with LLM-Generated Heuristics and Admissibility Proofs

Combating Fake News: A Survey on Identification and Mitigation Techniques

Rectifying LLM Thought from Lens of Optimization

MultiPath++: Efficient Information Fusion and Trajectory Aggregation for Behavior Prediction

On the Risk of Misinformation Pollution with Large Language Models

Analyzing Federated Learning through an Adversarial Lens

An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPT

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Solving Math Word Problems by Combining Language Models With Symbolic Solvers

VizML: A Machine Learning Approach to Visualization Recommendation

Robust Filtering and Smoothing with Gaussian Processes

Towards Automatic Face-to-Face Translation

Scaling RL to Long Videos

A Survey on Diffusion Models for Time Series and Spatio-Temporal Data

Do Language Models Use Their Depth Efficiently?

FLaG: Frequency-Domain Latent-attention Gated Pooling for Token Aggregation