AI agents

Tool use, function calling, orchestration and the protocols that let models act rather than only answer.

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arXiv Computer Vision

Oct 27

VibeVideoBench:Evaluating Multimodal Agents on Code-Driven Video Generation

arXiv:2610.35864v1 Announce Type: new Abstract: Diffusion video models produce striking clips, but they cannot reliably render an exact formula, a correct chart, a ruleconsistent game or narration sy...

By Muxi Diao, Wenbin Xu, Lele Yang, Xuyang Ma, Yuzhe Chen, Jiankang Chen, Kaiyu Jiang, Changyi Liu, Haoyu Zhang, Hongyi Fu, Jianxiong Wang, Tianke Zhang, Haonan Fan, Yingxin Li, Bingyi Li, Xu Wang, Xuanyu Zheng, Bin Wen, Tingting Gao, Han Li, Wentao Zhang, Weiran Xu, Kongming Liang, Zhanyu Ma

llms agents diffusion multimodal benchmarks

arXiv Computer Vision

Oct 27

WebUniverse: Scaling Verified Training Data for Agentic Web Development

arXiv:2610.33149v1 Announce Type: cross Abstract: Training agents for front-end web development requires demonstrations of code editing, execution, browser inspection and revision, yet public traject...

By Yaorui Ding, Fengqing Jiang, Yichen Feng, Yuetai Li, Zhangchen Xu, Kaiyuan Zheng, Xuanyu Lu, Bhaskar Ramasubramanian, Basel Alomair, Luyao Niu, Radha Poovendran

agents fine-tuning

arXiv Computer Vision

Oct 27

RoboDoctor: Training-Free Recursive Self-Improvement for Robot Policies

arXiv:2610.35604v1 Announce Type: cross Abstract: Generalist robot policies and language-model agents provide complementary capabilities, but completing a task also requires adapting their use to the...

By Heyang Yu, Haomin Li, Sihang Li, Jixin Yan, Shiyun Peng, Wanqi Zhong, Tianyu Xin, Yuan Yao, Xiaoyu Tian, Yiming Li

agents robotics

arXiv Computer Vision

Oct 27

AdaThinkDrive: Adaptive Thinking via Reinforcement Learning for Autonomous Driving

arXiv:2509.13769v2 Announce Type: replace Abstract: While reasoning technology like Chain of Thought (CoT) has been widely adopted in Vision Language Action (VLA) models, it demonstrates promising ca...

By Yuechen Luo, Fang Li, Shaoqing Xu, Zhiyi Lai, Lei Yang, Qimao Chen, Ziang Luo, Zixun Xie, Shengyin Jiang, Jiaxin Liu, Long Chen, Bing Wang, Ken Deng, Zhi-xin Yang

agents nlp reinforcement-learning robotics fine-tuning benchmarks

arXiv Computer Vision

Oct 27

Towards Generalist Game Agents: A Survey of Foundation Models in Virtual Worlds

arXiv:2605.09965v3 Announce Type: replace Abstract: The real world unfolds along a single set of physics laws, yet human intelligence demonstrates a remarkable capacity to generalize experiences from...

By Kuan Zhang, Dongchen Liu, Qiyue Zhao, Tianyu Xin, Yue Su, Haisheng Wang, Han Yin, Hongbo Ma, Peize Li, Tianjun Gu, Xiangnan Wu, Xinran Zhang, Yongxuan Li, Zirong Chen, Yiming Li

agents reinforcement-learning benchmarks

arXiv Computer Vision

Oct 27

One Sentence, One Drama: Personalized Short-Form Drama Generation via Multi-Agent Systems

arXiv:2605.22144v2 Announce Type: replace Abstract: Existing approaches for digital short-drama production typically rely on one-shot LLM generated scripts and loosely coupled pipelines, which fail t...

By Yufei Shi, Weilong Yan, Naixuan Huang, Yucheng Chen, Chenyu Zhang, Tao He, Si Yong Yeo, Ming Li

llms agents diffusion benchmarks

arXiv Computer Vision

Oct 27

RoboEvolve: Co-Evolving Planner-Simulator for Robotic Manipulation with Limited Data

arXiv:2605.13775v2 Announce Type: replace-cross Abstract: The scalability of robotic manipulation is fundamentally bottlenecked by the scarcity of task-aligned physical interaction data. While vision...

By Harold Haodong Chen, Sirui Chen, Yingjie Xu, Wenhang Ge, Ying-Cong Chen

llms agents diffusion reinforcement-learning robotics multimodal safety

arXiv Computer Vision

Oct 27

WorldArena 2.0: Extending Embodied World Model Benchmarking on Modality, Functionality and Platform

arXiv:2605.17912v2 Announce Type: replace-cross Abstract: World models have emerged as a central paradigm for embodied intelligence, enabling agents to predict action-conditioned future and reason ab...

By Zhuohang Li, Yiding Ma, Yu Shang, Lei Jin, Shengyuan Wang, Jianjie Fang, Zhaolu Wang, Xvyuan Liu, Yinzhou Tang, Xin Jin, Ziyou Wang, Weikang Su, Xin Zhang, Haisheng Su, Weizhen He, Wei Wu, Haoyi Duan, Gordon Wetzstein, Xihui Liu, Dhruv Shah, Zhaoxiang Zhang, Zhibo Chen, Jun Zhu, Yonghong Tian, Tat-Seng Chua, Xin Wang, Wenwu Zhu, Chen Gao, Yong Li

agents reinforcement-learning robotics multimodal benchmarks

arXiv Statistics ML

Oct 27

On the Hardness of Reinforcement Learning with Transition Look-Ahead

arXiv:2510.19372v3 Announce Type: replace Abstract: We study reinforcement learning (RL) with transition look-ahead, where the agent may observe which states would be visited upon playing any sequenc...

By Corentin Pla, Hugo Richard, Marc Abeille, Nadav Merlis, Vianney Perchet

agents reinforcement-learning

arXiv AI

Oct 27

AI Teaches Humans to Handle Complexity in the Game of Go

arXiv:2610.33323v1 Announce Type: new Abstract: Strategic decision-making in complex environments requires balancing local stability against global coordination. Using the game of Go as a bounded emp...

By Adamo Cerioli, Vito D. P. Servedio, Gabriele Cerioli, Antonio Villani, Carlo Metta

agents

arXiv AI

Oct 27

Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities

arXiv:2610.33105v1 Announce Type: new Abstract: Artificial intelligence (AI) is reshaping mechanical engineering (ME), from modeling, simulation, and optimization to diagnostics, design, and technica...

By A. Cunha Jr, C. Nataraj, L. M. Lorenzo, H. Panetto, A. Scotti, J. V. C. Vargas

agents safety

arXiv AI

Oct 27

Auditing evaluation artifacts and data leakage in large language model systems for rare disease diagnosis

arXiv:2610.33592v1 Announce Type: new Abstract: Augmented large language model (LLM) systems have reported high benchmark accuracies in rare disease diagnosis, yet their real-world clinical utility r...

By Jian Yang, Peilin Liu, Xiaohan Li, Songda Li, Yu Cao, Yuqing Feng, Haomin Li

llms agents benchmarks safety

arXiv AI

Oct 27

Data Governance for Generative and Agentic AI : Technology, Law, Economics, and Security

arXiv:2610.33605v1 Announce Type: new Abstract: This book develops a unified governance framework for systems that retrieve, generate, infer, remember and act on information from large language model...

By Narayana Darapaneni, Padmaja K, Gnana Chaithra D

llms rag agents data-engineering

arXiv AI

Oct 27

SWE-Ladder: Learning to Localize, Reproduce, and Patch via Progressive Privileged Self-Distillation

arXiv:2610.33667v1 Announce Type: new Abstract: Resolving a repository-level issue typically requires a software-engineering (SWE) agent to localize the faulty code, reproduce the failure, and patch...

By Xudong Cai, Zhengxi Lu, Yuchen Yan, Jian Shao, Jun Xiao, Yueting Zhuang, Yongliang Shen

agents reinforcement-learning efficiency

arXiv AI

Oct 27

Human-Feedback-Guided Multi-Agent Inverse Reinforcement Learning for Interactive Driving Behavior Modeling

arXiv:2610.33726v1 Announce Type: new Abstract: Modeling human driving behavior is fundamental to understanding driver decision-making and supporting autonomous vehicles (AVs) in mixed traffic. Rewar...

By Longhao Yan, Jinhao Liang, Kaidi Yang

agents reinforcement-learning

arXiv AI

Oct 27

Numina Fuse: Interactive Autoformalization in Lean 4

arXiv:2610.33860v1 Announce Type: new Abstract: Numina Fuse is an agent-native application for formalizing mathematics in Lean 4. Since Lean can compile while not representing its intended informal m...

By Justin Asher, Yichuan Cao, Ruichen Qiu, Pietro Pellegrino, Jia Li

agents

arXiv AI

Oct 27

From Document Layout to Causal Topology: An End-to-End Architecture for Temporal Causal Reasoning

arXiv:2610.34094v1 Announce Type: new Abstract: Large language models (LLMs) generally lack deep causal reasoning capabilities in temporal reasoning. Inspired by document layout reordering, this pape...

By Zhifeng Yang, Wei Luo, Yongjian Chen, Shiqi Ou

llms agents benchmarks

arXiv AI

Oct 27

Task Success Is Not Enough: Side-effect-Aware Evaluation of Tool-Using Language Model Agents

arXiv:2610.34167v1 Announce Type: new Abstract: Tool-using language model agents are usually evaluated by whether they finish the user's task. That metric misses a common failure: an agent can comple...

By Jiaju Huang, Shaobin Chen, Xinglong Liang, Xinyu Ma, Hao Yang, Wei Ke, Tao Tan, Yue Sun

llms agents benchmarks

arXiv AI

Oct 27

CaliMem: Search-Efficient Data Agent via Calibrated Memory

arXiv:2610.34500v1 Announce Type: new Abstract: Data curation is a first-order design choice in machine learning, yet tailoring training data to a downstream model and task remains costly in labor, e...

By Hanze Li, Athan Z. Li, Feiyang Kang, Jiachen T. Wang, Yuhan Chen, Ruishan Liu, Ruoxi Jia

llms agents

arXiv AI

Oct 27

Agentic AI Orchestration Framework for Spatial Intelligence: Supply Chain Deployment

arXiv:2610.34569v1 Announce Type: new Abstract: Industrial spatial decisions are assembled across systems that share neither a reference frame nor an owner, and analysts spend substantial effort reco...

By Constantinos Papantoniou, Brian Hilton

agents benchmarks data-engineering

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