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)

16,201 to 16,260 of 27,557

STCO: Conditional Neural Operators for Time-Dependent PDEs
Xingxin Yang, Zhan Zhang, Juan Li
cs.AIarXiv:2608.20477v12026
How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model
Michael Hanna, Ollie Liu, Alexandre Variengien
cs.CLcs.AIcs.LGarXiv:2305.00586v52023
Representation Topology Divergence: A Method for Comparing Neural Network Representations
Serguei Barannikov, Ilya Trofimov, Nikita Balabin +1
cs.LGcs.AImath.ATarXiv:2201.00058v22021
Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training
Yangyi Fang, Jiaye Lin, Xiaoliang Fu +4
cs.AIarXiv:2602.19225v12026
Multi-Hop Knowledge Graph Reasoning with Reward Shaping
Xi Victoria Lin, Richard Socher, Caiming Xiong
cs.AIcs.CLcs.LGarXiv:1808.10568v22018
Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability
Christopher Frye, Colin Rowat, Ilya Feige
stat.MLcs.AIcs.LGarXiv:1910.06358v32019
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
Peter Hase, Mona Diab, Asli Celikyilmaz +5
cs.CLcs.AIcs.LGarXiv:2111.13654v12021
BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Nandan Thakur, Nils Reimers, Andreas Rücklé +2
cs.IRcs.AIcs.CLarXiv:2104.08663v42021
AI4Research: A Survey of Artificial Intelligence for Scientific Research
Qiguang Chen, Mingda Yang, Libo Qin +13
cs.CLcs.AIarXiv:2507.01903v22025
LENS: Localization enhanced by NeRF synthesis
Arthur Moreau, Nathan Piasco, Dzmitry Tsishkou +2
cs.CVcs.AIcs.LGarXiv:2110.06558v12021
K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model
Shiyi Cao, Ziming Mao, Joseph E. Gonzalez +1
cs.AIarXiv:2602.19128v22026
CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection
Muhammad Zaigham Zaheer, Arif Mahmood, Marcella Astrid +1
cs.CVcs.AIarXiv:2011.12077v42020
Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement
Guochen Yu, Andong Li, Chengshi Zheng +3
cs.SDcs.AIeess.ASarXiv:2110.06467v52021
A Contextual-Bandit Approach to Personalized News Article Recommendation
Lihong Li, Wei Chu, John Langford +1
cs.LGcs.AIcs.IRarXiv:1003.0146v22010
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Emre Kıcıman, Robert Ness, Amit Sharma +1
cs.AIcs.CLcs.CYarXiv:2305.00050v32023
The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models
D. V. Pynadath, M. Tambe
cs.AIarXiv:1106.4569v12011
MemGuard: Persisting Verifier Signals for LLM-Agent Memory Governance
Haoyu Wang, Guangyuan Dong, He Liang +5
cs.AIcs.CLarXiv:2608.21867v12026
Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder
Hyemi Kim, Seungjae Shin, JoonHo Jang +4
cs.LGcs.AIarXiv:2011.11878v22020
Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments
Peter Anderson, Qi Wu, Damien Teney +6
cs.CVcs.AIcs.CLarXiv:1711.07280v32017
Sparser Block-Sparse Attention via Token Permutation
Xinghao Wang, Pengyu Wang, Dong Zhang +7
cs.CLcs.AIcs.CVarXiv:2510.21270v22025
Rapid Exploration for Open-World Navigation with Latent Goal Models
Dhruv Shah, Benjamin Eysenbach, Gregory Kahn +2
cs.ROcs.AIcs.LGarXiv:2104.05859v52021
LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning
Shu Wang, Muzhi Han, Ziyuan Jiao +4
cs.ROcs.AIarXiv:2403.11552v32024
Life-Bench: A Benchmark and Knowledge Graph Framework for Multimodal Personalization Beyond Concept Recognition
Xia Hu, Honglei Zhuang, Brian Potetz +4
cs.CVcs.AIcs.CLarXiv:2602.19001v22026
When Attention Sink Emerges in Language Models: An Empirical View
Xiangming Gu, Tianyu Pang, Chao Du +5
cs.CLcs.AIcs.LGarXiv:2410.10781v22024
Contrastive Attention Mitigates Spectral Bias in Spiking Transformers
Xiaoli Liu, Malu Zhang, Yang Yang
cs.AIarXiv:2610.01403v12026
ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs
Xin Wu, Zhixuan Liang, Yue Ma +3
cs.ROcs.AIcs.CVarXiv:2602.08392v22026
A Survey of Available Corpora for Building Data-Driven Dialogue Systems
Iulian Vlad Serban, Ryan Lowe, Peter Henderson +2
cs.CLcs.AIcs.HCarXiv:1512.05742v32015
Neural Rough Differential Equations for Long Time Series
James Morrill, Cristopher Salvi, Patrick Kidger +2
cs.LGcs.AImath.DSarXiv:2009.08295v42020
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
Lei Zhang, Yuge Zhang, Kan Ren +2
cs.LGcs.AIarXiv:2304.14979v22023
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv, Zhao Kang, Xiao Lu +1
cs.CVcs.AIcs.LGarXiv:2104.03531v12021
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
Vitchyr H. Pong, Murtaza Dalal, Steven Lin +3
cs.LGcs.AIcs.ROarXiv:1903.03698v42019
DREAM: Deep Research Evaluation with Agentic Metrics
Elad Ben Avraham, Changhao Li, Ron Dorfman +8
cs.AIarXiv:2602.18940v12026
Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo
Stephen Zhao, Rob Brekelmans, Alireza Makhzani +1
cs.LGcs.AIcs.CLarXiv:2404.17546v12024
Supervising Sound Localization by In-the-wild Egomotion
Anna Min, Ziyang Chen, Hang Zhao +1
cs.CVcs.AIcs.MMarXiv:2610.01388v12026
PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics
Zhiao Huang, Yuanming Hu, Tao Du +4
cs.LGcs.AIcs.CVarXiv:2104.03311v12021
Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG
Aditi Singh, Abul Ehtesham, Saket Kumar +2
cs.AIcs.CLcs.IRarXiv:2501.09136v42025
Learning to Complement Humans
Bryan Wilder, Eric Horvitz, Ece Kamar
cs.AIcs.LGarXiv:2005.00582v12020
Grounded Language-Image Pre-training
Liunian Harold Li, Pengchuan Zhang, Haotian Zhang +9
cs.CVcs.AIcs.CLarXiv:2112.03857v22021
CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning
Xinyu Zhu, Yihao Feng, Yanchao Sun +5
cs.CLcs.AIarXiv:2603.00889v12026
Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code
Haobo Lin, Tianyi Bai, Chen Chen +4
cs.CVcs.AIarXiv:2602.18745v12026
HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning
Zhi Jing, Siyuan Yang, Jicong Ao +3
cs.ROcs.AIarXiv:2507.00833v22025
MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding
Qian Kou, Xiaofeng Shi, Yulin Li +4
cs.CVcs.AIarXiv:2605.30794v22026
3D Pose Estimation and 3D Model Retrieval for Objects in the Wild
Alexander Grabner, Peter M. Roth, Vincent Lepetit
cs.CVcs.AIarXiv:1803.11493v12018
Reinforcement learning for optimization of variational quantum circuit architectures
Mateusz Ostaszewski, Lea M. Trenkwalder, Wojciech Masarczyk +2
quant-phcs.AIarXiv:2103.16089v12021
Agent2UCB: Agentic System for Generative Engine Optimization
Sheldon Yu, Rui Wang, Tong Yu +4
cs.AIarXiv:2608.29063v12026
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown, Jordan Juravsky, Ryan Ehrlich +4
cs.LGcs.AIarXiv:2407.21787v32024
Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Chuming Lin, Chengming Xu, Donghao Luo +6
cs.CVcs.AIarXiv:2103.13137v12021
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Maggie Huan, Yuetai Li, Tuney Zheng +6
cs.AIcs.CLarXiv:2507.00432v22025
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge
Ali Agha, Kyohei Otsu, Benjamin Morrell +69
cs.ROcs.AIarXiv:2103.11470v42021
On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence
Gengchen Mai, Weiming Huang, Jin Sun +11
cs.AIcs.CLcs.CVarXiv:2304.06798v12023
Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning
Zhaowei Cai, Avinash Ravichandran, Subhransu Maji +3
cs.LGcs.AIcs.CVarXiv:2101.08482v22021
SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model
Gengwei Zhang, Liyuan Wang, Guoliang Kang +2
cs.CVcs.AIcs.LGarXiv:2303.05118v42023
Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments
Ahmed Hussain Qureshi, Yasar Ayaz
cs.ROcs.AIarXiv:1703.08944v12017
Group-in-Group Policy Optimization for LLM Agent Training
Lang Feng, Zhenghai Xue, Tingcong Liu +1
cs.LGcs.AIarXiv:2505.10978v32025
Gibson Env: Real-World Perception for Embodied Agents
Fei Xia, Amir Zamir, Zhi-Yang He +3
cs.AIcs.CVcs.GRarXiv:1808.10654v12018
A Self-Improving Coding Agent
Maxime Robeyns, Martin Szummer, Laurence Aitchison
cs.AIarXiv:2504.15228v22025
Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals
Meysam Varasteh, Veronika Bogina, Noam Koenigstein +1
cs.IRcs.AIarXiv:2608.21662v12026
An Embarrassingly Simple Approach for LLM with Strong ASR Capacity
Ziyang Ma, Guanrou Yang, Yifan Yang +8
cs.CLcs.AIcs.MMarXiv:2402.08846v12024
MOPO: Model-based Offline Policy Optimization
Tianhe Yu, Garrett Thomas, Lantao Yu +5
cs.LGcs.AIstat.MLarXiv:2005.13239v62020
The Internal State of an LLM Knows When It's Lying
Amos Azaria, Tom Mitchell
cs.CLcs.AIcs.LGarXiv:2304.13734v22023

Artificial Intelligence

STCO: Conditional Neural Operators for Time-Dependent PDEs

How does GPT-2 compute greater-than?: Interpreting mathematical abilities in a pre-trained language model

Representation Topology Divergence: A Method for Comparing Neural Network Representations

Proximity-Based Multi-Turn Optimization: Practical Credit Assignment for LLM Agent Training

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

Asymmetric Shapley values: incorporating causal knowledge into model-agnostic explainability

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs

BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models

AI4Research: A Survey of Artificial Intelligence for Scientific Research

LENS: Localization enhanced by NeRF synthesis

K-Search: LLM Kernel Generation via Co-Evolving Intrinsic World Model

CLAWS: Clustering Assisted Weakly Supervised Learning with Normalcy Suppression for Anomalous Event Detection

Dual-branch Attention-In-Attention Transformer for single-channel speech enhancement

A Contextual-Bandit Approach to Personalized News Article Recommendation

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality

The Communicative Multiagent Team Decision Problem: Analyzing Teamwork Theories and Models

MemGuard: Persisting Verifier Signals for LLM-Agent Memory Governance

Counterfactual Fairness with Disentangled Causal Effect Variational Autoencoder

Vision-and-Language Navigation: Interpreting visually-grounded navigation instructions in real environments

Sparser Block-Sparse Attention via Token Permutation

Rapid Exploration for Open-World Navigation with Latent Goal Models

LLM3:Large Language Model-based Task and Motion Planning with Motion Failure Reasoning

Life-Bench: A Benchmark and Knowledge Graph Framework for Multimodal Personalization Beyond Concept Recognition

When Attention Sink Emerges in Language Models: An Empirical View

Contrastive Attention Mitigates Spectral Bias in Spiking Transformers

ST-BiBench: Benchmarking Multi-Stream Multimodal Coordination in Bimanual Embodied Tasks for MLLMs

A Survey of Available Corpora for Building Data-Driven Dialogue Systems

Neural Rough Differential Equations for Long Time Series

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks

Pseudo-supervised Deep Subspace Clustering

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

DREAM: Deep Research Evaluation with Agentic Metrics

Probabilistic Inference in Language Models via Twisted Sequential Monte Carlo

Supervising Sound Localization by In-the-wild Egomotion

PlasticineLab: A Soft-Body Manipulation Benchmark with Differentiable Physics

Agentic Retrieval-Augmented Generation: A Survey on Agentic RAG

Learning to Complement Humans

Grounded Language-Image Pre-training

CHIMERA: Compact Synthetic Data for Generalizable LLM Reasoning

Synthesizing Multimodal Geometry Datasets from Scratch and Enabling Visual Alignment via Plotting Code

HumanoidGen: Data Generation for Bimanual Dexterous Manipulation via LLM Reasoning

MechVQA: Benchmarking and Enhancing Multimodal LLMs on Comprehensive Mechanical Drawing Understanding

3D Pose Estimation and 3D Model Retrieval for Objects in the Wild

Reinforcement learning for optimization of variational quantum circuit architectures

Agent2UCB: Agentic System for Generative Engine Optimization

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization

Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge

On the Opportunities and Challenges of Foundation Models for Geospatial Artificial Intelligence

Exponential Moving Average Normalization for Self-supervised and Semi-supervised Learning

SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model

Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environments

Group-in-Group Policy Optimization for LLM Agent Training

Gibson Env: Real-World Perception for Embodied Agents

A Self-Improving Coding Agent

Why This, Not That? Mining User Profiles for Pair-wise Counterfactuals

An Embarrassingly Simple Approach for LLM with Strong ASR Capacity

MOPO: Model-based Offline Policy Optimization

The Internal State of an LLM Knows When It's Lying