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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15,961 to 16,020 of 28,227

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models
Parshin Shojaee, Kazem Meidani, Shashank Gupta +2
cs.LGcs.AIcs.CLarXiv:2404.18400v32024
APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding
Xuhong Wang, Ding Lyu, Mengjian Li +8
cs.AIcs.DBcs.SIarXiv:2011.11545v42020
Behind the Curtain: Learning Occluded Shapes for 3D Object Detection
Qiangeng Xu, Yiqi Zhong, Ulrich Neumann
cs.CVcs.AIcs.LGarXiv:2112.02205v12021
A Survey of Learning Causality with Data: Problems and Methods
Ruocheng Guo, Lu Cheng, Jundong Li +2
cs.AIstat.MEarXiv:1809.09337v42018
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training
Yizhi Li, Ruibin Yuan, Ge Zhang +17
cs.SDcs.AIcs.CLarXiv:2306.00107v52023
EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs
Namyong Park, Fuchen Liu, Purvanshi Mehta +3
cs.LGcs.AIcs.SIarXiv:2202.07648v22022
Batch Active Learning at Scale
Gui Citovsky, Giulia DeSalvo, Claudio Gentile +4
cs.LGcs.AIarXiv:2107.14263v12021
Constant Curvature Graph Convolutional Networks
Gregor Bachmann, Gary Bécigneul, Octavian-Eugen Ganea
cs.LGcs.AIarXiv:1911.05076v32019
HuatuoGPT, towards Taming Language Model to Be a Doctor
Hongbo Zhang, Junying Chen, Feng Jiang +10
cs.CLcs.AIarXiv:2305.15075v12023
Unsupervised Diverse Colorization via Generative Adversarial Networks
Yun Cao, Zhiming Zhou, Weinan Zhang +1
cs.CVcs.AIarXiv:1702.06674v22017
Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG
Xueying Du, Geng Zheng, Kaixin Wang +9
cs.SEcs.AIarXiv:2406.11147v32024
Multi-Agent Path Finding with Delay Probabilities
Hang Ma, T. K. Satish Kumar, Sven Koenig
cs.AIcs.MAcs.ROarXiv:1612.05309v12016
GREEN: Generative Radiology Report Evaluation and Error Notation
Sophie Ostmeier, Justin Xu, Zhihong Chen +8
cs.CLcs.AIarXiv:2405.03595v22024
AlgaeDICE: Policy Gradient from Arbitrary Experience
Ofir Nachum, Bo Dai, Ilya Kostrikov +3
cs.LGcs.AIarXiv:1912.02074v12019
Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning
Min Chen, Stefanos Nikolaidis, Harold Soh +2
cs.ROcs.AIarXiv:1801.04099v32018
Co-Evolving Structured Knowledge and Reasoning in Language Models
Ryan Thomas Noonan, Linxi Zhao, Menghan Xu +6
cs.CLcs.AIcs.LGarXiv:2608.26386v12026
Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper
Xinyue Zhu, Binghao Huang, Yunzhu Li
cs.ROcs.AIcs.LGarXiv:2507.15062v22025
Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning
Yechen Zhang, Shuhao Xing, Junhao Huang +5
cs.LGcs.AIcs.CLarXiv:2603.09697v22026
See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis
Jaehyun Park, Minyoung Ahn, Minkyu Kim +3
cs.CVcs.AIarXiv:2602.20951v22026
Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance
Gagan Bansal, Tongshuang Wu, Joyce Zhou +5
cs.AIcs.CLcs.HCarXiv:2006.14779v32020
HABERTOR: An Efficient and Effective Deep Hatespeech Detector
Thanh Tran, Yifan Hu, Changwei Hu +4
cs.CLcs.AIcs.IRarXiv:2010.08865v12020
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
Jakub Grudzien Kuba, Ruiqing Chen, Muning Wen +4
cs.AIcs.MAarXiv:2109.11251v22021
SQL-Zero: Self-Evolving Text-to-SQL
Daniel Machado Pedrozo, Julia Soares Dollis, Bryan Lincoln Marques de Oliveira +3
cs.AIarXiv:2609.04697v12026
Competitive Market Behavior of LLMs
Pawel Struski, Jakub Swistak, Inez Okulska +1
cs.MAcs.AIecon.GNarXiv:2609.02580v12026
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks
Mohit Shridhar, Jesse Thomason, Daniel Gordon +5
cs.CVcs.AIcs.CLarXiv:1912.01734v22019
Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision
Hao Tan, Mohit Bansal
cs.CLcs.AIcs.CVarXiv:2010.06775v12020
DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting
Yongming Rao, Wenliang Zhao, Guangyi Chen +5
cs.CVcs.AIcs.LGarXiv:2112.01518v22021
CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning
Xiaoya Li, Albert Wang, Guoyin Wang +2
cs.AIcs.DCcs.LGarXiv:2507.14111v122025
Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT
Hengxu You, Yang Ye, Tianyu Zhou +2
cs.ROcs.AIcs.HCarXiv:2304.11018v12023
Multi-Objective Bayesian Optimization for Model Merging
Utkarsh Agarwal, Vamshi Bonagiri, Raul Astudillo +1
cs.LGcs.AIarXiv:2608.14264v12026
A Survey on Embedding Dynamic Graphs
Claudio D. T. Barros, Matheus R. F. Mendonça, Alex B. Vieira +1
cs.LGcs.AIarXiv:2101.01229v22021
DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization
Jianing Yang, Yusuke Fujita, Yui Sudo
cs.CLcs.AIarXiv:2603.09180v12026
Towards Continual Reinforcement Learning: A Review and Perspectives
Khimya Khetarpal, Matthew Riemer, Irina Rish +1
cs.LGcs.AIarXiv:2012.13490v22020
Self-critical Sequence Training for Image Captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh +2
cs.LGcs.AIcs.CVarXiv:1612.00563v22016
Discrimination in the Age of Algorithms
Jon Kleinberg, Jens Ludwig, Sendhil Mullainathan +1
cs.CYcs.AIcs.LGarXiv:1902.03731v12019
Solving Mixed Integer Programs Using Neural Networks
Vinod Nair, Sergey Bartunov, Felix Gimeno +16
math.OCcs.AIcs.DMarXiv:2012.13349v32020
Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling
Yong Liu, Xingjian Su, Shiyu Wang +7
cs.AIarXiv:2603.04791v32026
Fast Deep Learning for Automatic Modulation Classification
Sharan Ramjee, Shengtai Ju, Diyu Yang +3
eess.SPcs.AIcs.LGarXiv:1901.05850v12019
Stochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition
Tanmay Joshi, Shourya Aggarwal, Anusa Saha +7
cs.AIarXiv:2601.07239v12026
AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback
Yann Dubois, Xuechen Li, Rohan Taori +6
cs.LGcs.AIcs.CLarXiv:2305.14387v42023
Language as an Abstraction for Hierarchical Deep Reinforcement Learning
Yiding Jiang, Shixiang Gu, Kevin Murphy +1
cs.LGcs.AIcs.CLarXiv:1906.07343v22019
AutoSurvey: Large Language Models Can Automatically Write Surveys
Yidong Wang, Qi Guo, Wenjin Yao +10
cs.IRcs.AIcs.CLarXiv:2406.10252v22024
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
Yongming Rao, Wenliang Zhao, Benlin Liu +3
cs.CVcs.AIcs.LGarXiv:2106.02034v22021
Interaction Embeddings for Prediction and Explanation in Knowledge Graphs
Wen Zhang, Bibek Paudel, Wei Zhang +2
cs.AIcs.CLarXiv:1903.04750v12019
KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
Mohammad Meymani, Roozbeh Razavi-Far
cs.LGcs.AIarXiv:2608.21488v12026
ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification
Xinjie Lin, Gang Xiong, Gaopeng Gou +3
cs.CRcs.AIcs.NIarXiv:2202.06335v22022
"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data
Orion Weller, Marc Marone, Nathaniel Weir +3
cs.CLcs.AIarXiv:2305.13252v22023
When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents
Dongsheng Zhu, Xuchen Ma, Yucheng Shen +5
cs.AIarXiv:2606.05806v12026
PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices
Deepak Vungarala, Deniz Najafi, Abdulrahman Aljoudi +6
cs.AIarXiv:2608.26113v12026
A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization
Ashraful Islam, Chengjiang Long, Richard Radke
cs.CVcs.AIarXiv:2101.00545v32021
AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation
Vijayaraghavan Murali, Chandra Maddila, Imad Ahmad +6
cs.SEcs.AIarXiv:2305.12050v22023
Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications
Tzafrir Rehan
cs.SEcs.AIarXiv:2603.08806v12026
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba +2
cs.CLcs.AIcs.CVarXiv:2305.14325v12023
CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions
Jingwei Shi, Xinxiang Yin, Jing Huang +2
cs.SEcs.AIcs.CRarXiv:2602.20213v22026
Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors
Long Chen, Yuchen Li, Chao Huang +10
cs.AIcs.ROcs.SYarXiv:2305.11239v22023
SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
Yuqian Fu, Tinghong Chen, Jiajun Chai +7
cs.CLcs.AIcs.LGarXiv:2506.19767v12025
Heterogeneous-Agent Reinforcement Learning
Yifan Zhong, Jakub Grudzien Kuba, Xidong Feng +3
cs.LGcs.AIcs.MAarXiv:2304.09870v22023
Compositional Explanations of Neurons
Jesse Mu, Jacob Andreas
cs.LGcs.AIcs.CLarXiv:2006.14032v22020
Generalized Planning in PDDL Domains with Pretrained Large Language Models
Tom Silver, Soham Dan, Kavitha Srinivas +3
cs.AIarXiv:2305.11014v22023
GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs
Zixiang Xu, Yanbo Wang, Chenxi Wang +6
cs.AIarXiv:2609.12265v12026

Artificial Intelligence

LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

APAN: Asynchronous Propagation Attention Network for Real-time Temporal Graph Embedding

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

A Survey of Learning Causality with Data: Problems and Methods

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

EvoKG: Jointly Modeling Event Time and Network Structure for Reasoning over Temporal Knowledge Graphs

Batch Active Learning at Scale

Constant Curvature Graph Convolutional Networks

HuatuoGPT, towards Taming Language Model to Be a Doctor

Unsupervised Diverse Colorization via Generative Adversarial Networks

Vul-RAG: Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

Multi-Agent Path Finding with Delay Probabilities

GREEN: Generative Radiology Report Evaluation and Error Notation

AlgaeDICE: Policy Gradient from Arbitrary Experience

Trust-Aware Decision Making for Human-Robot Collaboration: Model Learning and Planning

Co-Evolving Structured Knowledge and Reasoning in Language Models

Touch in the Wild: Learning Fine-Grained Manipulation with a Portable Visuo-Tactile Gripper

Mousse: Rectifying the Geometry of Muon with Curvature-Aware Preconditioning

See and Fix the Flaws: Enabling VLMs and Diffusion Models to Comprehend Visual Artifacts via Agentic Data Synthesis

Does the Whole Exceed its Parts? The Effect of AI Explanations on Complementary Team Performance

HABERTOR: An Efficient and Effective Deep Hatespeech Detector

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning

SQL-Zero: Self-Evolving Text-to-SQL

Competitive Market Behavior of LLMs

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Vokenization: Improving Language Understanding with Contextualized, Visual-Grounded Supervision

DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting

CUDA-L1: Improving CUDA Optimization via Contrastive Reinforcement Learning

Robot-Enabled Construction Assembly with Automated Sequence Planning based on ChatGPT: RoboGPT

Multi-Objective Bayesian Optimization for Model Merging

A Survey on Embedding Dynamic Graphs

DuplexCascade: Full-Duplex Speech-to-Speech Dialogue with VAD-Free Cascaded ASR-LLM-TTS Pipeline and Micro-Turn Optimization

Towards Continual Reinforcement Learning: A Review and Perspectives

Self-critical Sequence Training for Image Captioning

Discrimination in the Age of Algorithms

Solving Mixed Integer Programs Using Neural Networks

Timer-S1: A Billion-Scale Time Series Foundation Model with Serial Scaling

Fast Deep Learning for Automatic Modulation Classification

Stochastic CHAOS: Why Deterministic Inference Kills, and Distributional Variability Is the Heartbeat of Artifical Cognition

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Language as an Abstraction for Hierarchical Deep Reinforcement Learning

AutoSurvey: Large Language Models Can Automatically Write Surveys

DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

Interaction Embeddings for Prediction and Explanation in Knowledge Graphs

KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks

ET-BERT: A Contextualized Datagram Representation with Pre-training Transformers for Encrypted Traffic Classification

"According to ...": Prompting Language Models Improves Quoting from Pre-Training Data

When Tools Fail: Benchmarking Dynamic Replanning and Anomaly Recovery in LLM Agents

PICasso: An AI-Enabled Design Framework for Autonomous Optimization of Silicon Photonic Devices

A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

AI-assisted Code Authoring at Scale: Fine-tuning, deploying, and mixed methods evaluation

Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications

Improving Factuality and Reasoning in Language Models through Multiagent Debate

CodeHacker: Automated Test Case Generation for Detecting Vulnerabilities in Competitive Programming Solutions

Milestones in Autonomous Driving and Intelligent Vehicles Part I: Control, Computing System Design, Communication, HD Map, Testing, and Human Behaviors

SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning

Heterogeneous-Agent Reinforcement Learning

Compositional Explanations of Neurons

Generalized Planning in PDDL Domains with Pretrained Large Language Models

GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMs