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.

Search paper metadata (including unsummarized papers)

9,841 to 9,900 of 15,404

Stochastic Gradient Push for Distributed Deep Learning
Mahmoud Assran, Nicolas Loizou, Nicolas Ballas +1
cs.LGcs.AIcs.DCarXiv:1811.10792v32018
Batch Policy Learning under Constraints
Hoang M. Le, Cameron Voloshin, Yisong Yue
cs.LGcs.AImath.OCarXiv:1903.08738v12019
SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learning
Jiajun Fan, Jingyuan Li, Prashanth Gurunath Shivakumar +6
cs.SDcs.AIcs.CLarXiv:2608.26432v12026
Neural Optimizer Search with Reinforcement Learning
Irwan Bello, Barret Zoph, Vijay Vasudevan +1
cs.AIcs.LGstat.MLarXiv:1709.07417v22017
Funnel Libraries for Real-Time Robust Feedback Motion Planning
Anirudha Majumdar, Russ Tedrake
cs.ROcs.AIeess.SYarXiv:1601.04037v32016
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum, Dimitris Tsipras, Chulin Xie +6
cs.LGcs.AIcs.CRarXiv:2012.10544v42020
Mastering Complex Control in MOBA Games with Deep Reinforcement Learning
Deheng Ye, Zhao Liu, Mingfei Sun +15
cs.AIcs.LGarXiv:1912.09729v32019
Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack
Mark Russinovich, Ahmed Salem, Ronen Eldan
cs.CRcs.AIarXiv:2404.01833v32024
Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020
Ryan Turner, David Eriksson, Michael McCourt +4
cs.LGcs.AIstat.MLarXiv:2104.10201v22021
Continual Learning of Context-dependent Processing in Neural Networks
Guanxiong Zeng, Yang Chen, Bo Cui +1
cs.LGcs.AIcs.CVarXiv:1810.01256v32018
Compositionality decomposed: how do neural networks generalise?
Dieuwke Hupkes, Verna Dankers, Mathijs Mul +1
cs.CLcs.AIcs.LGarXiv:1908.08351v22019
Visualizing and Understanding Atari Agents
Sam Greydanus, Anurag Koul, Jonathan Dodge +1
cs.AIarXiv:1711.00138v52017
A Survey on Anomaly Detection for Technical Systems using LSTM Networks
Benjamin Lindemann, Benjamin Maschler, Nada Sahlab +1
cs.LGcs.AIstat.MLarXiv:2105.13810v12021
Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization
Bryan Wilder, Bistra Dilkina, Milind Tambe
cs.LGcs.AIstat.MLarXiv:1809.05504v22018
Text2Motion: From Natural Language Instructions to Feasible Plans
Kevin Lin, Christopher Agia, Toki Migimatsu +2
cs.ROcs.AIcs.LGarXiv:2303.12153v52023
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo +5
cs.CVcs.AIcs.CLarXiv:2302.14115v22023
Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agents
Chenhao Wu, Haoxuan Jia, Yang Liu +11
cs.CRcs.AIarXiv:2608.27141v12026
Emotional Preferences as Goal-Priority Regulation
Shiqi Liu, Yihua Tan, Hu Fu +1
cs.LGcs.AIarXiv:2608.27072v12026
Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners
Allen Z. Ren, Anushri Dixit, Alexandra Bodrova +11
cs.ROcs.AIstat.AParXiv:2307.01928v22023
Multi-Person Human Motion Forecasting in Complex Scenes
Serdar Ozsoy, Lars Doorenbos, Juergen Gall
cs.CVcs.AIarXiv:2608.27039v12026
AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head
Rongjie Huang, Mingze Li, Dongchao Yang +10
cs.CLcs.AIcs.SDarXiv:2304.12995v12023
The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang +1
cs.LGcs.AIcs.CVarXiv:2405.07987v52024
Improving Semantic Segmentation via Video Propagation and Label Relaxation
Yi Zhu, Karan Sapra, Fitsum A. Reda +4
cs.CVcs.AIcs.MMarXiv:1812.01593v32018
Mapping the Landscape of Artificial Intelligence Applications against COVID-19
Joseph Bullock, Alexandra Luccioni, Katherine Hoffmann Pham +2
cs.CYcs.AIcs.LGarXiv:2003.11336v32020
MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation
Wenhao Li, Hong Liu, Hao Tang +2
cs.CVcs.AIcs.LGarXiv:2111.12707v42021
3D Hand Shape and Pose from Images in the Wild
Adnane Boukhayma, Rodrigo de Bem, Philip H. S. Torr
cs.CVcs.AIcs.LGarXiv:1902.03451v12019
Aequitas: A Bias and Fairness Audit Toolkit
Pedro Saleiro, Benedict Kuester, Loren Hinkson +5
cs.LGcs.AIcs.CYarXiv:1811.05577v22018
PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings
Nicholas Rhinehart, Rowan McAllister, Kris Kitani +1
cs.CVcs.AIcs.LGarXiv:1905.01296v32019
PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Yidong Wang, Zhuohao Yu, Zhengran Zeng +10
cs.CLcs.AIarXiv:2306.05087v22023
Vision-and-Dialog Navigation
Jesse Thomason, Michael Murray, Maya Cakmak +1
cs.CLcs.AIcs.CVarXiv:1907.04957v32019
FaulT-Bench: Towards Benchmarking Network Troubleshooting LLM Agents under Unreliable User Tickets
Kuan-Hao Tseng, Niruth Bogahawatta, Yasod Ginige +3
cs.NIcs.AIarXiv:2608.27021v12026
Geometric Deep Learning on Molecular Representations
Kenneth Atz, Francesca Grisoni, Gisbert Schneider
physics.chem-phcs.AIcs.LGarXiv:2107.12375v42021
RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems
Tianyang Liu, Canwen Xu, Julian McAuley
cs.CLcs.AIcs.SEarXiv:2306.03091v22023
How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation
Kimberly Milner, Minghao Shao, Nanda Rani +8
cs.CRcs.AIarXiv:2608.26237v12026
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
Vijay Ekambaram, Arindam Jati, Nam Nguyen +2
cs.LGcs.AIarXiv:2306.09364v42023
Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models
Rohit Patel, Dieuwke Hupkes, Sloan Strader
cs.CVcs.AIcs.MMarXiv:2608.26317v12026
NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models
Zeqian Ju, Yuancheng Wang, Kai Shen +16
eess.AScs.AIcs.CLarXiv:2403.03100v32024
Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds
JaeHyeong Chang, Chengzhe Sun, Siwei Lyu
cs.SDcs.AIarXiv:2608.26346v12026
Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach
Yinlam Chow, Aviv Tamar, Shie Mannor +1
cs.AImath.OCarXiv:1506.02188v12015
Co-Evolving Structured Knowledge and Reasoning in Language Models
Ryan Thomas Noonan, Linxi Zhao, Menghan Xu +6
cs.CLcs.AIcs.LGarXiv:2608.26386v12026
Efficient Online Reinforcement Learning with Offline Data
Philip J. Ball, Laura Smith, Ilya Kostrikov +1
cs.LGcs.AIarXiv:2302.02948v42023
Training behavior of deep neural network in frequency domain
Zhi-Qin John Xu, Yaoyu Zhang, Yanyang Xiao
cs.LGcs.AIcs.ITarXiv:1807.01251v62018
Understanding and Robustifying Differentiable Architecture Search
Arber Zela, Thomas Elsken, Tonmoy Saikia +3
cs.LGcs.AIcs.CVarXiv:1909.09656v22019
Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation
YuXuan Liu, Abhishek Gupta, Pieter Abbeel +1
cs.LGcs.AIcs.CVarXiv:1707.03374v22017
BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models
Jinghan Zhang, Fengran Mo, Zhiyu Chen +3
cs.AIcs.CLcs.HCarXiv:2608.27268v12026
LiveVVT: High-Fidelity Video Virtual Try-On in Real Time
Yushe Cao, Shikun Feng, Ruxiang Duan +4
cs.CVcs.AIarXiv:2608.26714v12026
PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training
Kimin Lee, Laura Smith, Pieter Abbeel
cs.LGcs.AIarXiv:2106.05091v12021
Multimodal Large Language Models: A Survey
Jiayang Wu, Wensheng Gan, Zefeng Chen +2
cs.AIarXiv:2311.13165v12023
KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations
Chenchen Ge, Hanwen Shen, Bowen Jing +6
cs.CVcs.AIarXiv:2608.27365v12026
Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health
Shubo Tian, Qiao Jin, Lana Yeganova +11
cs.CYcs.AIcs.CLarXiv:2306.10070v22023
Experience-driven Networking: A Deep Reinforcement Learning based Approach
Zhiyuan Xu, Jian Tang, Jingsong Meng +4
cs.NIcs.AIcs.LGarXiv:1801.05757v12018
ConceptFusion: Open-set Multimodal 3D Mapping
Krishna Murthy Jatavallabhula, Alihusein Kuwajerwala, Qiao Gu +14
cs.CVcs.AIcs.ROarXiv:2302.07241v32023
A Survey of Deep Meta-Learning
Mike Huisman, Jan N. van Rijn, Aske Plaat
cs.LGcs.AIstat.MLarXiv:2010.03522v22020
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble
Gaon An, Seungyong Moon, Jang-Hyun Kim +1
cs.LGcs.AIarXiv:2110.01548v22021
DeepCache: Accelerating Diffusion Models for Free
Xinyin Ma, Gongfan Fang, Xinchao Wang
cs.CVcs.AIarXiv:2312.00858v22023
MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations
Ajay Mandlekar, Soroush Nasiriany, Bowen Wen +5
cs.ROcs.AIcs.CVarXiv:2310.17596v12023
Beyond Parity: Fairness Objectives for Collaborative Filtering
Sirui Yao, Bert Huang
cs.IRcs.AIcs.LGarXiv:1705.08804v22017
Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline
Penghao Wu, Xiaosong Jia, Li Chen +3
cs.CVcs.AIcs.ROarXiv:2206.08129v22022
DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models
Yung-Sung Chuang, Yujia Xie, Hongyin Luo +3
cs.CLcs.AIcs.LGarXiv:2309.03883v22023
What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning
Wei Liu, Weihao Zeng, Keqing He +2
cs.CLcs.AIcs.LGarXiv:2312.15685v22023

Artificial Intelligence

Stochastic Gradient Push for Distributed Deep Learning

Batch Policy Learning under Constraints

SpeechGym: An Audio-Native Gym for Training Voice Agents via Reinforcement Learning

Neural Optimizer Search with Reinforcement Learning

Funnel Libraries for Real-Time Robust Feedback Motion Planning

Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses

Mastering Complex Control in MOBA Games with Deep Reinforcement Learning

Great, Now Write an Article About That: The Crescendo Multi-Turn LLM Jailbreak Attack

Bayesian Optimization is Superior to Random Search for Machine Learning Hyperparameter Tuning: Analysis of the Black-Box Optimization Challenge 2020

Continual Learning of Context-dependent Processing in Neural Networks

Compositionality decomposed: how do neural networks generalise?

Visualizing and Understanding Atari Agents

A Survey on Anomaly Detection for Technical Systems using LSTM Networks

Melding the Data-Decisions Pipeline: Decision-Focused Learning for Combinatorial Optimization

Text2Motion: From Natural Language Instructions to Feasible Plans

Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning

Safety Does Not Compose: Non-Decaying Loop State for Autonomous LLM Agents

Emotional Preferences as Goal-Priority Regulation

Robots That Ask For Help: Uncertainty Alignment for Large Language Model Planners

Multi-Person Human Motion Forecasting in Complex Scenes

AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

The Platonic Representation Hypothesis

Improving Semantic Segmentation via Video Propagation and Label Relaxation

Mapping the Landscape of Artificial Intelligence Applications against COVID-19

MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation

3D Hand Shape and Pose from Images in the Wild

Aequitas: A Bias and Fairness Audit Toolkit

PRECOG: PREdiction Conditioned On Goals in Visual Multi-Agent Settings

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Vision-and-Dialog Navigation

FaulT-Bench: Towards Benchmarking Network Troubleshooting LLM Agents under Unreliable User Tickets

Geometric Deep Learning on Molecular Representations

RepoBench: Benchmarking Repository-Level Code Auto-Completion Systems

How Do LLM Agents Actually Get the Flag? Trace-Level Provenance for Agentic Offensive Security Evaluation

TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

Modality Maturity Index: A benchmark for assessing multimodal capabilities of omni models

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and Diffusion Models

Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds

Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach

Co-Evolving Structured Knowledge and Reasoning in Language Models

Efficient Online Reinforcement Learning with Offline Data

Training behavior of deep neural network in frequency domain

Understanding and Robustifying Differentiable Architecture Search

Imitation from Observation: Learning to Imitate Behaviors from Raw Video via Context Translation

BrailleBench: Investigating Multi-Criteria Braille Comprehension in Large Language Models

LiveVVT: High-Fidelity Video Virtual Try-On in Real Time

PEBBLE: Feedback-Efficient Interactive Reinforcement Learning via Relabeling Experience and Unsupervised Pre-training

Multimodal Large Language Models: A Survey

KnockGS:interaction-Grounded Calibrationof Physical Gaussian Representations

Opportunities and Challenges for ChatGPT and Large Language Models in Biomedicine and Health

Experience-driven Networking: A Deep Reinforcement Learning based Approach

ConceptFusion: Open-set Multimodal 3D Mapping

A Survey of Deep Meta-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

DeepCache: Accelerating Diffusion Models for Free

MimicGen: A Data Generation System for Scalable Robot Learning using Human Demonstrations

Beyond Parity: Fairness Objectives for Collaborative Filtering

Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline

DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models

What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning