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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13,561 to 13,620 of 15,364

Learning to Communicate with Deep Multi-Agent Reinforcement Learning
Jakob N. Foerster, Yannis M. Assael, Nando de Freitas +1
cs.AIcs.LGcs.MAarXiv:1605.06676v22016
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing
Zhi Zhou, Xu Chen, En Li +3
cs.DCcs.AIcs.NIarXiv:1905.10083v12019
CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning
Xuehang Guo, Pingyue Zhang, Ruiyi Zhang +6
cs.CVcs.AIcs.CLarXiv:2608.02833v12026
MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models
Chenglin Liu, Xun Wang, Ruishuo Chen +2
cs.LGcs.AIcs.CLarXiv:2608.18827v12026
HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety
Yajing Bai, Jinhao Duan, Jie Peng +4
cs.CRcs.AIarXiv:2608.17597v12026
OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models
Qiushi Sun, Kanzhi Cheng, Yian Wang +20
cs.AIcs.CLcs.CVarXiv:2607.28609v22026
Towards Diverse Scientific Hypothesis Search with Large Language Models
Haorui Wang, Parshin Shojaee, Kazem Meidani +7
cs.LGcs.AIarXiv:2606.10587v12026
Environment-free Synthetic Data Generation for API-Calling Agents
Seanie Lee, Sanjoy Chowdhury, Chao Jiang +5
cs.AIarXiv:2607.16900v22026
TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex
Yuliang Yan, Shuo Yan, Haochun Tang +2
cs.LGcs.AIarXiv:2607.22143v22026
PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails
Mingyang Song, Luxin Xu, Haoyu Sun +3
cs.CVcs.AIcs.CLarXiv:2607.05910v12026
Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process
Zican Hu, Xuyang Hu, Yiming Liu +10
cs.AIarXiv:2607.03748v12026
ENPIRE: Agentic Robot Policy Self-Improvement in the Real World
Wenli Xiao, Jia Xie, Tonghe Zhang +14
cs.AIarXiv:2606.19980v12026
AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive
Taicheng Guo, Nitesh V. Chawla, Olaf Wiest +1
cs.AIcs.CLcs.LGarXiv:2605.11518v22026
Benchmark Everything Everywhere All at Once
Shiyun Xiong, Dongming Wu, Peiwen Sun +5
cs.AIarXiv:2606.06462v12026
$π$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows
Haoran Zhang, Luxin Xu, Zhilin Wang +11
cs.AIarXiv:2605.14678v32026
Continual Harness: Online Adaptation for Self-Improving Foundation Agents
Seth Karten, Joel Zhang, Tersoo Upaa +5
cs.LGcs.AIarXiv:2605.09998v12026
Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key
Tianle Wang, Zhaoyang Wang, Guangchen Lan +4
cs.AIcs.CLarXiv:2605.06638v32026
Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions
Diancheng Kang, Zheyuan Liu, Ningshan Ma +3
cs.CLcs.AIarXiv:2605.10664v22026
Ego4D: Around the World in 3,000 Hours of Egocentric Video
Kristen Grauman, Andrew Westbury, Eugene Byrne +82
cs.CVcs.AIarXiv:2110.07058v32021
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du, Yujie Qian, Xiao Liu +4
cs.CLcs.AIcs.LGarXiv:2103.10360v22021
The Rise and Potential of Large Language Model Based Agents: A Survey
Zhiheng Xi, Wenxiang Chen, Xin Guo +26
cs.AIcs.CLarXiv:2309.07864v32023
Distilling LLM Feedback for Lean Theorem Proving
Gaetan Narozniak, Gérard Biau, Rémi Munos +2
cs.AIarXiv:2605.30861v12026
Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO
Jing Sun
cs.LGcs.AIarXiv:2604.13517v42026
Ensemble deep learning: A review
M. A. Ganaie, Minghui Hu, A. K. Malik +2
cs.LGcs.AIcs.CVarXiv:2104.02395v32021
The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models
Liuyuan Wen, Xun Zhu, Lihao Huang +2
cs.LGcs.AIarXiv:2606.03645v12026
Honest Lying: Understanding Memory Confabulation in Reflexive Agents
Prakhar Dixit, Sadia Kamal, Tim Oates
cs.LGcs.AIarXiv:2605.29463v22026
SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes
Tianhui Liu, Jie Feng, Zhiheng Zheng +6
cs.CVcs.AIcs.CLarXiv:2605.31148v12026
Learning Latent Dynamics for Planning from Pixels
Danijar Hafner, Timothy Lillicrap, Ian Fischer +4
cs.LGcs.AIstat.MLarXiv:1811.04551v52018
KAN: Kolmogorov-Arnold Networks
Ziming Liu, Yixuan Wang, Sachin Vaidya +5
cs.LGcond-mat.dis-nncs.AIarXiv:2404.19756v52024
Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback
Md Zarif Ul Alam, Alireza Salemi, Hamed Zamani
cs.IRcs.AIarXiv:2606.00590v12026
On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
Etienne Casanova, Rafal Kocielnik, R. Michael Alvarez
cs.CLcs.AIcs.LGarXiv:2606.00467v12026
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge
Spyridon Bakas, Mauricio Reyes, Andras Jakab +424
cs.CVcs.AIcs.LGarXiv:1811.02629v32018
Habitat: A Platform for Embodied AI Research
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets +9
cs.CVcs.AIcs.CLarXiv:1904.01201v22019
Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025
Maria Kunilovskaya, Gagan Bhatia, Lisa Sophie Albertelli +10
cs.CLcs.AIarXiv:2606.02255v12026
Summaries:한국어
DOT-MoE: Differentiable Optimal Transport for MoEfication
Udbhav Bamba, Arnav Chavan, Aryamaan Thakur +2
cs.LGcs.AIarXiv:2606.01666v12026
Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents
Ailiya Borjigin, Igor Stadnyk, Ben Bilski +4
cs.AIcs.CEarXiv:2606.01886v12026
Alias-Free Generative Adversarial Networks
Tero Karras, Miika Aittala, Samuli Laine +4
cs.CVcs.AIcs.LGarXiv:2106.12423v42021
Summaries:한국어
Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task
Tao Yu, Rui Zhang, Kai Yang +9
cs.CLcs.AIarXiv:1809.08887v52018
FVSpec: Real-World Property-Based Tests as Lean Challenges
Quinn Dougherty, Max von Hippel, Simon Henniger +2
cs.SEcs.AIarXiv:2606.01008v22026
An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models
Mingzhong Sun, Teresa Yeo, Armando Solar-Lezama +1
cs.AIcs.CLcs.LGarXiv:2606.01462v12026
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin, Shihao Liang, Yining Ye +16
cs.AIcs.CLcs.LGarXiv:2307.16789v22023
CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving
Yifan Wang
cs.ROcs.AIarXiv:2606.02641v12026
Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education
Cecilia Ka Yuk Chan, Wenjie Hu
cs.CYcs.AIarXiv:2305.00290v12023
Joint Agent Memory and Exploration Learning via Novelty Signals
Shizuo Tian, Xiaohong Weng, Rui Kong +9
cs.AIarXiv:2606.01528v12026
LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models
Prateek Kumar Sikdar
cs.CLcs.AIcs.LGarXiv:2606.01838v12026
Return of Frustratingly Easy Domain Adaptation
Baochen Sun, Jiashi Feng, Kate Saenko
cs.CVcs.AIcs.LGarXiv:1511.05547v22015
Graph Convolutional Networks for Text Classification
Liang Yao, Chengsheng Mao, Yuan Luo
cs.CLcs.AIarXiv:1809.05679v32018
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?
Xinyu Che, Junqi Xiong, Yunfei Ge +10
cs.CLcs.AIcs.LGarXiv:2606.01993v12026
AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents
Yiheng Shu, Bernal Jiménez Gutiérrez, Saisri Padmaja Jonnalagedda +3
cs.AIcs.CLarXiv:2606.02461v22026
Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning
Yu Xia, Zhouhang Xie, Xin Xu +4
cs.CLcs.AIarXiv:2606.03965v12026
Large Language Models Hack Rewards, and Society
Wei Liu, Xinyi Mou, Hanqi Yan +2
cs.LGcs.AIcs.CLarXiv:2606.04075v22026
Improving Factuality and Reasoning in Language Models through Multiagent Debate
Yilun Du, Shuang Li, Antonio Torralba +2
cs.CLcs.AIcs.CVarXiv:2305.14325v12023
SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation
Junxiao Yang, Minghao Zhang, Xiaoce Wang +4
cs.CVcs.AIarXiv:2606.03348v12026
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
Mirac Suzgun, Nathan Scales, Nathanael Schärli +8
cs.CLcs.AIarXiv:2210.09261v12022
Qwen-Image-Flash: Beyond Objective Design
Tianhe Wu, Kun Yan, Zikai Zhou +21
cs.CVcs.AIcs.GRarXiv:2606.03746v22026
Memory Aware Synapses: Learning what (not) to forget
Rahaf Aljundi, Francesca Babiloni, Mohamed Elhoseiny +2
cs.CVcs.AIstat.MLarXiv:1711.09601v42017
The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs
Xu Wan, Speed Zhu, Jianwei Cai +4
cs.AIarXiv:2606.03092v22026
Self-critical Sequence Training for Image Captioning
Steven J. Rennie, Etienne Marcheret, Youssef Mroueh +2
cs.LGcs.AIcs.CVarXiv:1612.00563v22016
Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion
Matiur Rahman Minar, Seunghun Oh, GangHyeon Jeong +1
cs.CVcs.AIcs.LGarXiv:2606.14732v12026
Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks
Tim Salimans, Diederik P. Kingma
cs.LGcs.AIcs.NEarXiv:1602.07868v32016

Artificial Intelligence

Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing

CURV: Enhancing Chart Understanding Through Curriculum Visual Grounded Reasoning

MLREF: Efficient Module Reuse for Reward Design in Reinforcement Learning via Large Language Models

HarnessRisk: A Lifecycle-Oriented Benchmark for Agent Harness Safety

OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models

Towards Diverse Scientific Hypothesis Search with Large Language Models

Environment-free Synthetic Data Generation for API-Calling Agents

TriGlue: a Biology-Inspired Generative Model for Generating Molecular Glue-Induced Ternary Complex

PolicyShiftGuard: Benchmarking and Improving Policy-Adaptive Image Guardrails

Bridging Interleaved Multi-Modal Reasoning as a Unified Decision Process

ENPIRE: Agentic Robot Policy Self-Improvement in the Real World

AutoLLMResearch: Training Research Agents for Automating LLM Experiment Configuration - Learning from Cheap, Optimizing Expensive

Benchmark Everything Everywhere All at Once

$π$-Bench: Evaluating Proactive Personal Assistant Agents in Long-Horizon Workflows

Continual Harness: Online Adaptation for Self-Improving Foundation Agents

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

Prompt-Activation Duality: Improving Activation Steering via Attention-Level Interventions

Ego4D: Around the World in 3,000 Hours of Egocentric Video

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

The Rise and Potential of Large Language Model Based Agents: A Survey

Distilling LLM Feedback for Lean Theorem Proving

Representation over Routing: Diagnosing Temporal Routing Pathologies in Multi-Timescale PPO

Ensemble deep learning: A review

The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models

Honest Lying: Understanding Memory Confabulation in Reflexive Agents

SpatialAct: Probing Spatial Reasoning-to-Action Capabilities of VLM Agents in 3D Scenes

Learning Latent Dynamics for Planning from Pixels

KAN: Kolmogorov-Arnold Networks

Critic-R: Improving Agentic Search using Instruction-tuned Retrievers with Natural Language Introspective Feedback

On the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Habitat: A Platform for Embodied AI Research

Who Annotates in NLP? A Large-scale Assessment of Human Annotation Reporting between 2018 and 2025

DOT-MoE: Differentiable Optimal Transport for MoEfication

Absorbing Complexity: An Interaction-Native Knowledge Harness for Financial LLM Agents

Alias-Free Generative Adversarial Networks

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

FVSpec: Real-World Property-Based Tests as Lean Challenges

An Enigma of Artificial Reason: Investigating the Production-Evaluation Gap in Large Reasoning Models

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

CARVE: Certified Affordable Repair of Vetoed Maneuvers via Envelopes for Interactive Driving

Students' Voices on Generative AI: Perceptions, Benefits, and Challenges in Higher Education

Joint Agent Memory and Exploration Learning via Novelty Signals

LayerRoute: Input-Conditioned Adaptive Layer Skipping via LoRA Fine-Tuning for Agentic Language Models

Return of Frustratingly Easy Domain Adaptation

Graph Convolutional Networks for Text Classification

MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills?

AgentCL: Toward Rigorous Evaluation of Continual Learning in Language Agents

Agentic Chain-of-Thought Steering for Efficient and Controllable LLM Reasoning

Large Language Models Hack Rewards, and Society

Improving Factuality and Reasoning in Language Models through Multiagent Debate

SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation

Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Qwen-Image-Flash: Beyond Objective Design

Memory Aware Synapses: Learning what (not) to forget

The Shadow Price of Reasoning: Economic Perspective on Optimal Budget Allocation for LLMs

Self-critical Sequence Training for Image Captioning

Steady-Forcing: Balancing Spatial Persistence and Motion Continuity in Long-Horizon Nature Video Diffusion

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks