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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12,181 to 12,240 of 15,266

Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks
Roni Stern, Nathan Sturtevant, Ariel Felner +9
cs.AIcs.MAcs.ROarXiv:1906.08291v12019
FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol
Jie Zhu, Yimin Tian, Boyang Li +8
cs.AIcs.CLarXiv:2603.24943v12026
Machine Learning Testing: Survey, Landscapes and Horizons
Jie M. Zhang, Mark Harman, Lei Ma +1
cs.LGcs.AIcs.SEarXiv:1906.10742v22019
Overcoming Exploration in Reinforcement Learning with Demonstrations
Ashvin Nair, Bob McGrew, Marcin Andrychowicz +2
cs.LGcs.AIcs.NEarXiv:1709.10089v22017
TIES-Merging: Resolving Interference When Merging Models
Prateek Yadav, Derek Tam, Leshem Choshen +2
cs.LGcs.AIcs.CLarXiv:2306.01708v22023
CCTU: A Benchmark for Tool Use under Complex Constraints
Junjie Ye, Guoqiang Zhang, Wenjie Fu +3
cs.CLcs.AIarXiv:2603.15309v12026
Demystifying Video Reasoning
Ruisi Wang, Zhongang Cai, Fanyi Pu +11
cs.CVcs.AIarXiv:2603.16870v32026
EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization
Wei-Po Hsin, Ren-Hao Deng, Yao-Ting Hsieh +2
cs.AIcs.NEcs.PLarXiv:2601.18067v12026
LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
Jiazheng Xing, Fei Du, Hangjie Yuan +7
cs.CVcs.AIarXiv:2603.20192v12026
DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation
Gwanghyun Kim, Taesung Kwon, Jong Chul Ye
cs.CVcs.AIcs.LGarXiv:2110.02711v62021
Agentic AI and the next intelligence explosion
James Evans, Benjamin Bratton, Blaise Agüera y Arcas
cs.AIarXiv:2603.20639v12026
Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting
Melanie Sclar, Yejin Choi, Yulia Tsvetkov +1
cs.CLcs.AIcs.LGarXiv:2310.11324v22023
RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment
Liyao Jiang, Ruichen Chen, Chao Gao +1
cs.CVcs.AIarXiv:2603.00483v12026
Manifold-Aware Exploration for Reinforcement Learning in Video Generation
Mingzhe Zheng, Weijie Kong, Yue Wu +9
cs.CVcs.AIarXiv:2603.21872v12026
Reward-free Alignment for Conflicting Objectives
Peter Chen, Xiaopeng Li, Xi Chen +1
cs.CLcs.AIcs.LGarXiv:2602.02495v32026
A Benchmark for Interpretability Methods in Deep Neural Networks
Sara Hooker, Dumitru Erhan, Pieter-Jan Kindermans +1
cs.LGcs.AIstat.MLarXiv:1806.10758v32018
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis
Yucheng Tang, Dong Yang, Wenqi Li +5
cs.CVcs.AIcs.LGarXiv:2111.14791v22021
PEARL: Personalized Streaming Video Understanding Model
Yuanhong Zheng, Ruichuan An, Xiaopeng Lin +10
cs.CVcs.AIcs.IRarXiv:2603.20422v12026
Parseval Networks: Improving Robustness to Adversarial Examples
Moustapha Cisse, Piotr Bojanowski, Edouard Grave +2
stat.MLcs.AIcs.CRarXiv:1704.08847v22017
Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning
Chengzu Li, Zanyi Wang, Jiaang Li +9
cs.LGcs.AIcs.CLarXiv:2601.21037v12026
KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization
Alireza Nadafian, Alireza Mohammadshahi, Majid Yazdani
cs.AIcs.CLcs.SEarXiv:2601.21526v22026
Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation
Muhammad Ghifary, W. Bastiaan Kleijn, Mengjie Zhang +2
cs.CVcs.AIcs.LGarXiv:1607.03516v22016
Residual Context Diffusion Language Models
Yuezhou Hu, Harman Singh, Monishwaran Maheswaran +10
cs.CLcs.AIarXiv:2601.22954v22026
HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing
Yizhao Gao, Jianyu Wei, Qihao Zhang +11
cs.CLcs.AIarXiv:2602.03560v12026
ReWorld: An Interactive World Model with Long-Horizon Memory
Zhifei Chen, Luozhou Wang, Guibao Shen +8
cs.AIarXiv:2608.23565v12026
Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
Jiyuan Wang, Chunyu Lin, Lei Sun +8
cs.CVcs.AIarXiv:2603.03143v22026
Chain of World: World Model Thinking in Latent Motion
Fuxiang Yang, Donglin Di, Lulu Tang +6
cs.CVcs.AIcs.ROarXiv:2603.03195v12026
AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent
Yinyi Luo, Yiqiao Jin, Weichen Yu +6
cs.AIcs.MAarXiv:2602.03955v32026
Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress
Chen Yang, Haiyuan Wan, Rengrong Xiong +2
cs.AIcs.LGarXiv:2608.19408v12026
Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units
Jianhui Chen, Yuzhang Luo, Liangming Pan
cs.CLcs.AIcs.LGarXiv:2601.21996v22026
Drug discovery with explainable artificial intelligence
José Jiménez-Luna, Francesca Grisoni, Gisbert Schneider
cs.AIcs.LGstat.MLarXiv:2007.00523v22020
CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty
Johannes Kirmayr, Lukas Stappen, Elisabeth André
cs.AIarXiv:2601.22027v12026
Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model
Dongwon Kim, Gawon Seo, Jinsung Lee +2
cs.CVcs.AIcs.ROarXiv:2603.05438v12026
TAPAS: Weakly Supervised Table Parsing via Pre-training
Jonathan Herzig, Paweł Krzysztof Nowak, Thomas Müller +2
cs.IRcs.AIcs.CLarXiv:2004.02349v22020
A Neural Network Approach to Context-Sensitive Generation of Conversational Responses
Alessandro Sordoni, Michel Galley, Michael Auli +6
cs.CLcs.AIcs.LGarXiv:1506.06714v12015
Lost in the Noise: How Reasoning Models Fail with Contextual Distractors
Seongyun Lee, Yongrae Jo, Minju Seo +2
cs.AIcs.CLarXiv:2601.07226v12026
Action-Conditional Video Prediction using Deep Networks in Atari Games
Junhyuk Oh, Xiaoxiao Guo, Honglak Lee +2
cs.LGcs.AIcs.CVarXiv:1507.08750v22015
OpenAssistant Conversations -- Democratizing Large Language Model Alignment
Andreas Köpf, Yannic Kilcher, Dimitri von Rütte +15
cs.CLcs.AIarXiv:2304.07327v22023
Cross-Task Generalization via Natural Language Crowdsourcing Instructions
Swaroop Mishra, Daniel Khashabi, Chitta Baral +1
cs.CLcs.AIcs.CVarXiv:2104.08773v42021
MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens
Yu Chen, Runkai Chen, Sheng Yi +9
cs.CLcs.AIcs.IRarXiv:2603.23516v22026
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov +4
cs.LGcs.AIarXiv:2602.06717v22026
Large Language Monkeys: Scaling Inference Compute with Repeated Sampling
Bradley Brown, Jordan Juravsky, Ryan Ehrlich +4
cs.LGcs.AIarXiv:2407.21787v32024
A Theoretical Analysis of Contrastive Unsupervised Representation Learning
Sanjeev Arora, Hrishikesh Khandeparkar, Mikhail Khodak +2
cs.LGcs.AIstat.MLarXiv:1902.09229v12019
MemoBrain: Executive Memory as an Agentic Brain for Reasoning
Hongjin Qian, Zhao Cao, Zheng Liu
cs.AIcs.CLcs.IRarXiv:2601.08079v12026
Prime Agent: A Self-Improving RLM Harness
Seth Karten, Alex L. Zhang, Kevin Thomas +8
cs.AIcs.CLcs.SEarXiv:2608.23552v12026
ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks
Samin Mahdizadeh Sani, Max Ku, Nima Jamali +23
cs.GRcs.AIcs.CVarXiv:2603.27862v12026
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain +1
cs.LGcs.AIstat.MLarXiv:2009.07888v72020
FlowAct-R1: Towards Interactive Humanoid Video Generation
Lizhen Wang, Yongming Zhu, Zhipeng Ge +15
cs.CVcs.AIarXiv:2601.10103v12026
G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design
Baoyun Zhao, He Wang, Liang Zeng
cs.AIarXiv:2602.08253v12026
Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications
Tzafrir Rehan
cs.SEcs.AIarXiv:2603.08806v12026
Toward Efficient Agents: Memory, Tool learning, and Planning
Xiaofang Yang, Lijun Li, Heng Zhou +12
cs.AIcs.CLarXiv:2601.14192v22026
Decoupled Knowledge Distillation
Borui Zhao, Quan Cui, Renjie Song +2
cs.CVcs.AIarXiv:2203.08679v22022
TabTransformer: Tabular Data Modeling Using Contextual Embeddings
Xin Huang, Ashish Khetan, Milan Cvitkovic +1
cs.LGcs.AIarXiv:2012.06678v12020
Self-Improving World Modelling with Latent Actions
Yifu Qiu, Zheng Zhao, Waylon Li +4
cs.LGcs.AIcs.CLarXiv:2602.06130v22026
Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation
Albert Gatt, Emiel Krahmer
cs.CLcs.AIcs.NEarXiv:1703.09902v42017
LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations
William Lugoloobi, Thomas Foster, William Bankes +1
cs.CLcs.AIcs.LGarXiv:2602.09924v42026
WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning
Zelai Xu, Zhexuan Xu, Ruize Zhang +7
cs.AIcs.LGcs.MAarXiv:2602.04634v32026
Crowdsourcing Multiple Choice Science Questions
Johannes Welbl, Nelson F. Liu, Matt Gardner
cs.HCcs.AIcs.CLarXiv:1707.06209v12017
Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators
Yann Dubois, Balázs Galambosi, Percy Liang +1
cs.LGcs.AIcs.CLarXiv:2404.04475v22024
A White Paper on Neural Network Quantization
Markus Nagel, Marios Fournarakis, Rana Ali Amjad +3
cs.LGcs.AIcs.CVarXiv:2106.08295v12021

Artificial Intelligence

Multi-Agent Pathfinding: Definitions, Variants, and Benchmarks

FinMCP-Bench: Benchmarking LLM Agents for Real-World Financial Tool Use under the Model Context Protocol

Machine Learning Testing: Survey, Landscapes and Horizons

Overcoming Exploration in Reinforcement Learning with Demonstrations

TIES-Merging: Resolving Interference When Merging Models

CCTU: A Benchmark for Tool Use under Complex Constraints

Demystifying Video Reasoning

EvolVE: Evolutionary Search for LLM-based Verilog Generation and Optimization

LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation

DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation

Agentic AI and the next intelligence explosion

Quantifying Language Models' Sensitivity to Spurious Features in Prompt Design or: How I learned to start worrying about prompt formatting

RAISE: Requirement-Adaptive Evolutionary Refinement for Training-Free Text-to-Image Alignment

Manifold-Aware Exploration for Reinforcement Learning in Video Generation

Reward-free Alignment for Conflicting Objectives

A Benchmark for Interpretability Methods in Deep Neural Networks

Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis

PEARL: Personalized Streaming Video Understanding Model

Parseval Networks: Improving Robustness to Adversarial Examples

Thinking in Frames: How Visual Context and Test-Time Scaling Empower Video Reasoning

KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization

Deep Reconstruction-Classification Networks for Unsupervised Domain Adaptation

Residual Context Diffusion Language Models

HySparse: A Hybrid Sparse Attention Architecture with Oracle Token Selection and KV Cache Sharing

ReWorld: An Interactive World Model with Long-Horizon Memory

Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing

Chain of World: World Model Thinking in Latent Motion

AgentArk: Distilling Multi-Agent Intelligence into a Single LLM Agent

Beyond Imitation: Filtering On-Policy Distillation by Reasoning Progress

Mechanistic Data Attribution: Tracing the Training Origins of Interpretable LLM Units

Drug discovery with explainable artificial intelligence

CAR-bench: Evaluating the Consistency and Limit-Awareness of LLM Agents under Real-World Uncertainty

Planning in 8 Tokens: A Compact Discrete Tokenizer for Latent World Model

TAPAS: Weakly Supervised Table Parsing via Pre-training

A Neural Network Approach to Context-Sensitive Generation of Conversational Responses

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors

Action-Conditional Video Prediction using Deep Networks in Atari Games

OpenAssistant Conversations -- Democratizing Large Language Model Alignment

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens

F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling

A Theoretical Analysis of Contrastive Unsupervised Representation Learning

MemoBrain: Executive Memory as an Agentic Brain for Reasoning

Prime Agent: A Self-Improving RLM Harness

ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-ended Real-World Tasks

Transfer Learning in Deep Reinforcement Learning: A Survey

FlowAct-R1: Towards Interactive Humanoid Video Generation

G-LNS: Generative Large Neighborhood Search for LLM-Based Automatic Heuristic Design

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

Toward Efficient Agents: Memory, Tool learning, and Planning

Decoupled Knowledge Distillation

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Self-Improving World Modelling with Latent Actions

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

LLMs Encode Their Failures: Predicting Success from Pre-Generation Activations

WideSeek-R1: Exploring Width Scaling for Broad Information Seeking via Multi-Agent Reinforcement Learning

Crowdsourcing Multiple Choice Science Questions

Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

A White Paper on Neural Network Quantization