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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22,681 to 22,740 of 27,453

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents
Liyan Tang, Philippe Laban, Greg Durrett
cs.CLcs.AIarXiv:2404.10774v22024
Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection
Xinghao Zhu, Devesh K. Jha, Diego Romeres +3
cs.ROcs.AIcs.CVarXiv:2312.10571v12023
MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution
Zefeng Wang, Minxi Yan, Jinhe Bi +3
cs.AIarXiv:2607.05297v12026
LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics
Yueyang Ding, HaoPeng Zhang, Rui Dai +4
cs.AIarXiv:2604.17295v12026
The Answer Is Not the Argument
Will Yeadon, Sergio Juárez, Paul Mackay +5
cs.AIarXiv:2609.00264v12026
Decay-Region Group Delay as a Forensic Cue for AI-Generated Impulsive Sounds
JaeHyeong Chang, Chengzhe Sun, Siwei Lyu
cs.SDcs.AIarXiv:2608.26346v12026
LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics
Lukas Kuhn, Lucas Maes, Giuseppe Serra +4
cs.CVcs.AIarXiv:2608.27395v12026
Stop Regressing: Training Value Functions via Classification for Scalable Deep RL
Jesse Farebrother, Jordi Orbay, Quan Vuong +9
cs.LGcs.AIstat.MLarXiv:2403.03950v12024
Kernels for Vector-Valued Functions: a Review
Mauricio A. Alvarez, Lorenzo Rosasco, Neil D. Lawrence
stat.MLcs.AImath.STarXiv:1106.6251v22011
LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails
Vansh Wahi
cs.AIcs.LGarXiv:2609.02246v12026
PRInTS: Reward Modeling for Long-Horizon Information Seeking
Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen +3
cs.AIcs.CLcs.LGarXiv:2511.19314v22025
JaxAHT: A JAX-Based Library for Ad Hoc Teamwork
Caroline Wang, Rolando Fernandez, Zelal Su Mustafaoglu +9
cs.AIarXiv:2609.13716v12026
An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention
Yehjin Shin, Jeongwhan Choi, Hyowon Wi +1
cs.LGcs.AIcs.IRarXiv:2312.10325v22023
Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback
Jing Xu, Megan Ung, Mojtaba Komeili +3
cs.CLcs.AIarXiv:2208.03270v22022
TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts
Yu Xu, Hongbin Yan, Juan Cao +11
cs.CVcs.AIarXiv:2601.08881v22026
Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
Kimia Hamidieh, Veronika Thost, Walter Gerych +2
cs.AIarXiv:2604.17112v12026
Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators
Charles Hong, Sahil Bhatia, Alvin Cheung +1
cs.PLcs.AIcs.ARarXiv:2505.18574v52025
Learning Phase Competition for Traffic Signal Control
Guanjie Zheng, Yuanhao Xiong, Xinshi Zang +6
cs.LGcs.AIstat.MLarXiv:1905.04722v12019
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning
NVIDIA, :, Aaron Blakeman +311
cs.CLcs.AIcs.LGarXiv:2512.20848v12025
Foundations of Structural Causal Models with Cycles and Latent Variables
Stephan Bongers, Patrick Forré, Jonas Peters +1
stat.MEcs.AIcs.LGarXiv:1611.06221v62016
Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning
Hulingxiao He, Zijun Geng, Yuxin Peng
cs.CVcs.AIarXiv:2602.07605v32026
The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision
Jiayuan Mao, Chuang Gan, Pushmeet Kohli +2
cs.CVcs.AIcs.CLarXiv:1904.12584v12019
CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives
Ayoung Lee, Ryan Sungmo Kwon, Peter Railton +1
cs.CLcs.AIarXiv:2504.10823v42025
RayS: A Ray Searching Method for Hard-label Adversarial Attack
Jinghui Chen, Quanquan Gu
cs.LGcs.AIstat.MLarXiv:2006.12792v22020
Beyond Goldfish Memory: Long-Term Open-Domain Conversation
Jing Xu, Arthur Szlam, Jason Weston
cs.CLcs.AIarXiv:2107.07567v12021
A decodability criterion predicts when hidden-state selection beats majority voting in large language models
Zhixiang wang, Ziliang Hong, Ulas Bagci
cs.AIarXiv:2608.17124v12026
CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
Zhiyuan Pan, Xing Hu, Xin Xia +1
cs.SEcs.AIarXiv:2406.03283v22024
Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training
Hung Phan, Waqwoya Abebe, Youssef Hussein +3
cs.AIarXiv:2609.27197v12026
MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation
Yuxiang Fu, Qi Yan, Lele Wang +2
cs.CVcs.AIcs.LGarXiv:2503.09950v12025
ACPO: AI-Enabled Compiler Framework
Amir H. Ashouri, Muhammad Asif Manzoor, Duc Minh Vu +7
cs.PLcs.AIcs.LGarXiv:2312.09982v42023
Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation
Inclusion AI, :, Bowen Ma +73
cs.CVcs.AIarXiv:2510.24821v32025
R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization
Jingyi Zhang, Jiaxing Huang, Huanjin Yao +4
cs.AIcs.CLcs.CVarXiv:2503.12937v22025
Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma +22
cs.SDcs.AIeess.ASarXiv:2503.01710v12025
3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code
Yipeng Gao, Lei Shu, Genzhi Ye +5
cs.CVcs.AIcs.GRarXiv:2606.01057v12026
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote +6
cs.AIcs.LGarXiv:1611.04717v32016
Towards Comprehensive Basketball Understanding
Yirong Hu, Jiayuan Rao, Yu Zhang +2
cs.CVcs.AIarXiv:2608.23435v12026
Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning
Ruiqi Zhang, Licong Lin, Yu Bai +1
cs.LGcs.AIcs.CLarXiv:2404.05868v22024
Capability-Stratified Degradation in Ternary Language Models
Anirudh Malik, M Sparsh Mehra, Poojith Devan
cs.AIarXiv:2608.28809v12026
Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems
Barak Or
cs.ROcs.AIarXiv:2606.00090v12026
Knot So Simple: A Minimalistic Environment for Spatial Reasoning
Zizhao Chen, Yoav Artzi
cs.LGcs.AIcs.CVarXiv:2505.18028v32025
Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention
Dvir Samuel, Issar Tzachor, Matan Levy +3
cs.CVcs.AIarXiv:2602.01801v22026
The Civilization Framework: Sovereign-Anchored Communication Between Personal Multi-Agent Systems
Guangjun Liu
cs.MAcs.AIarXiv:2609.03425v12026
Learning to Optimize
Ke Li, Jitendra Malik
cs.LGcs.AImath.OCarXiv:1606.01885v12016
MultiBench: Multiscale Benchmarks for Multimodal Representation Learning
Paul Pu Liang, Yiwei Lyu, Xiang Fan +9
cs.LGcs.AIcs.CLarXiv:2107.07502v22021
ResearchGym: Evaluating Language Model Agents on Real-World AI Research
Aniketh Garikaparthi, Manasi Patwardhan, Arman Cohan
cs.AIarXiv:2602.15112v22026
Artificial Intelligence for Satellite Communication: A Review
Fares Fourati, Mohamed-Slim Alouini
eess.SPcs.AIeess.SYarXiv:2101.10899v12021
LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents
Shilong Liu, Hao Cheng, Haotian Liu +10
cs.CVcs.AIcs.CLarXiv:2311.05437v12023
On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning
Eoin M. Kenny, Mark T. Keane
cs.LGcs.AIarXiv:2009.06399v12020
Envisioning Communities: A Participatory Approach Towards AI for Social Good
Elizabeth Bondi, Lily Xu, Diana Acosta-Navas +1
cs.CYcs.AIarXiv:2105.01774v22021
Robust Code RL via Faulty-Code-Driven Test case Synthesis and Dense Reward Shaping
Yiwen Zhang, Xiaodong Yan, Zhenyu Huang +6
cs.AIcs.SEarXiv:2608.24135v12026
dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning
Palash Goyal, Sujit Rokka Chhetri, Arquimedes Canedo
cs.SIcs.AIcs.LGarXiv:1809.02657v22018
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models
Jingwei Sun, Ziyue Xu, Hongxu Yin +4
cs.CLcs.AIarXiv:2310.01467v12023
SlideTailor: Personalized Presentation Slide Generation for Scientific Papers
Wenzheng Zeng, Mingyu Ouyang, Langyuan Cui +1
cs.CLcs.AIcs.MMarXiv:2512.20292v12025
Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection
Travis Lelle
cs.CRcs.AIcs.CLarXiv:2605.30189v12026
Cross-domain recommendation via user interest alignment
Chuang Zhao, Hongke Zhao, Ming He +2
cs.IRcs.AIarXiv:2301.11467v12023
Towards Traffic Modelling of Multi-Agent Systems: The Role of Coordination Topology
Davide Lamagna, Albert Cabellos, Alberto Rodriguez-Natal +2
cs.NIcs.AIcs.MAarXiv:2608.20494v12026
IntentGrasp: A Comprehensive Benchmark for Intent Understanding
Yuwei Yin, Chuyuan Li, Giuseppe Carenini
cs.CLcs.AIcs.LGarXiv:2605.06832v12026
Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft
Hao Li, Xue Yang, Zhaokai Wang +7
cs.AIcs.CLcs.CVarXiv:2312.09238v22023
Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach
An Vuong, Minh-Hao Van, Chen Zhao +1
cs.AIcond-mat.mtrl-sciarXiv:2606.01012v12026
Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models
Xinru Yan, Boxi Cao, Yaojie Lu +4
cs.AIarXiv:2604.16902v32026

Artificial Intelligence

MiniCheck: Efficient Fact-Checking of LLMs on Grounding Documents

Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection

MetaSkill-Evolve: Recursive Self-Improvement of LLM Agents via Two-Timescale Meta-Skill Evolution

LLaTiSA: Towards Difficulty-Stratified Time Series Reasoning from Visual Perception to Semantics

The Answer Is Not the Argument

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

LeVJEPA: Efficient & Scalable Video Pretraining without the Heuristics

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

Kernels for Vector-Valued Functions: a Review

LLM-as-a-Judge Is Not an Oracle: Why Self-Improving Agents Need Deterministic Guardrails

PRInTS: Reward Modeling for Long-Horizon Information Seeking

JaxAHT: A JAX-Based Library for Ad Hoc Teamwork

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Learning New Skills after Deployment: Improving open-domain internet-driven dialogue with human feedback

TAG-MoE: Task-Aware Gating for Unified Generative Mixture-of-Experts

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification

Autocomp: A Powerful and Portable Code Optimizer for Tensor Accelerators

Learning Phase Competition for Traffic Signal Control

Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Foundations of Structural Causal Models with Cycles and Latent Variables

Fine-R1: Make Multi-modal LLMs Excel in Fine-Grained Visual Recognition by Chain-of-Thought Reasoning

The Neuro-Symbolic Concept Learner: Interpreting Scenes, Words, and Sentences From Natural Supervision

CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives

RayS: A Ray Searching Method for Hard-label Adversarial Attack

Beyond Goldfish Memory: Long-Term Open-Domain Conversation

A decodability criterion predicts when hidden-state selection beats majority voting in large language models

CATCODER: Repository-Level Code Generation with Relevant Code and Type Context

Enhancing Small Language Models for Power Outage Report Generation via Minimum Risk Training

MoFlow: One-Step Flow Matching for Human Trajectory Forecasting via Implicit Maximum Likelihood Estimation based Distillation

ACPO: AI-Enabled Compiler Framework

Ming-Flash-Omni: A Sparse, Unified Architecture for Multimodal Perception and Generation

R1-VL: Learning to Reason with Multimodal Large Language Models via Step-wise Group Relative Policy Optimization

Spark-TTS: An Efficient LLM-Based Text-to-Speech Model with Single-Stream Decoupled Speech Tokens

3DCodeBench: Benchmarking Agentic Procedural 3D Modeling Via Code

#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning

Towards Comprehensive Basketball Understanding

Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Capability-Stratified Degradation in Ternary Language Models

Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems

Knot So Simple: A Minimalistic Environment for Spatial Reasoning

Fast Autoregressive Video Diffusion and World Models with Temporal Cache Compression and Sparse Attention

The Civilization Framework: Sovereign-Anchored Communication Between Personal Multi-Agent Systems

Learning to Optimize

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

ResearchGym: Evaluating Language Model Agents on Real-World AI Research

Artificial Intelligence for Satellite Communication: A Review

LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Envisioning Communities: A Participatory Approach Towards AI for Social Good

Robust Code RL via Faulty-Code-Driven Test case Synthesis and Dense Reward Shaping

dyngraph2vec: Capturing Network Dynamics using Dynamic Graph Representation Learning

FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models

SlideTailor: Personalized Presentation Slide Generation for Scientific Papers

Token-Level Generalization in LoRA Adapter Backdoors: Attack Characterization and Behavioral Detection

Cross-domain recommendation via user interest alignment

Towards Traffic Modelling of Multi-Agent Systems: The Role of Coordination Topology

IntentGrasp: A Comprehensive Benchmark for Intent Understanding

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Property Prediction of Stacked Bilayer Materials: A Multimodal Learning Approach

Beyond Text-Dominance: Understanding Modality Preference of Omni-modal Large Language Models