NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (35)

cs.CV2025

IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?

Yang Chen, Minghao Liu, Yufan Shen +18

cs.RO2024

DiLu: A Knowledge-Driven Approach to Autonomous Driving with Large Language Models

Licheng Wen, Daocheng Fu, Xin Li +7

cs.CV2024

OASim: an Open and Adaptive Simulator based on Neural Rendering for Autonomous Driving

Guohang Yan, Jiahao Pi, Jianfei Guo +14

cs.RO2023

Drive Like a Human: Rethinking Autonomous Driving with Large Language Models

Daocheng Fu, Xin Li, Licheng Wen +4

cs.RO2023

Towards Knowledge-driven Autonomous Driving

Xin Li, Yeqi Bai, Pinlong Cai +14

eess.SY2023

LimSim: A Long-term Interactive Multi-scenario Traffic Simulator

Licheng Wen, Daocheng Fu, Song Mao +4

cs.AI2026

IterCAD: An Iterative Multimodal Agent for Visually-Grounded CAD Generation and Editing

Tao Hu, Jiaxin Ai, Licheng Wen +12

cs.RO2024

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving

Daocheng Fu, Wenjie Lei, Licheng Wen +5

cs.SE2026

ComAct: Reframing Professional Software Manipulation via COM-as-Action Paradigm

Jiaxin Ai, Tao Hu, Xuemeng Yang +11

cs.CV2025

GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical Evaluation

Yuan Feng, Yue Yang, Xiaohan He +8

cs.RO2023

Bringing Diversity to Autonomous Vehicles: An Interpretable Multi-vehicle Decision-making and Planning Framework

Licheng Wen, Pinlong Cai, Daocheng Fu +2

cs.AI2024

KoMA: Knowledge-driven Multi-agent Framework for Autonomous Driving with Large Language Models

Kemou Jiang, Xuan Cai, Zhiyong Cui +7

cs.AI2026

The Agent's First Day: Benchmarking Learning, Exploration, and Scheduling in the Workplace Scenarios

Daocheng Fu, Jianbiao Mei, Rong Wu +7

cs.CE2023

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model

Lening Wang, Yilong Ren, Han Jiang +9

cs.CL2025

Learning on the Job: An Experience-Driven Self-Evolving Agent for Long-Horizon Tasks

Cheng Yang, Xuemeng Yang, Licheng Wen +9

cs.RO2025

TrafficMCTS: A Closed-Loop Traffic Flow Generation Framework with Group-Based Monte Carlo Tree Search

Ze Fu, Licheng Wen, Pinlong Cai +3

cs.AI2026

TrustGeoGen: Formal-Verified Data Engine for Trustworthy Multi-modal Geometric Problem Solving

Daocheng Fu, Jianlong Chen, Renqiu Xia +12

cs.CL2025

O$^2$-Searcher: A Searching-based Agent Model for Open-Domain Open-Ended Question Answering

Jianbiao Mei, Tao Hu, Daocheng Fu +11

cs.RO2024

DriveArena: A Closed-loop Generative Simulation Platform for Autonomous Driving

Xuemeng Yang, Licheng Wen, Yukai Ma +11

cs.CL2025

RE-Searcher: Robust Agentic Search with Goal-oriented Planning and Self-reflection

Daocheng Fu, Jianbiao Mei, Licheng Wen +11

cs.CL2025

KG-TRACES: Enhancing Large Language Models with Knowledge Graph-constrained Trajectory Reasoning and Attribution Supervision

Rong Wu, Pinlong Cai, Jianbiao Mei +5

cs.AI2023

TrafficGPT: Viewing, Processing and Interacting with Traffic Foundation Models

Siyao Zhang, Daocheng Fu, Zhao Zhang +2

cs.LG2026

Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals

Daocheng Fu, Rong Wu, Yu Yang +7

The paper introduces PUST, a framework that uses a lightweight proxy model to explore high‑reward behaviors and then transfers the relative improvement signals to a larger primary…

#large language models#post-training#proxy models#reinforcement learning
cs.RO2025

LimSim Series: An Autonomous Driving Simulation Platform for Validation and Enhancement

Daocheng Fu, Naiting Zhong, Xu Han +5

cs.SE2025

Text2Scenario: Text-Driven Scenario Generation for Autonomous Driving Test

Xuan Cai, Xuesong Bai, Zhiyong Cui +4

cs.CL2026

EvolveR: Self-Evolving LLM Agents through an Experience-Driven Lifecycle

Rong Wu, Xiaoman Wang, Jianbiao Mei +8

cs.CV2025

SymDrive: Realistic and Controllable Driving Simulator via Symmetric Auto-regressive Online Restoration

Zhiyuan Liu, Daocheng Fu, Pinlong Cai +5

cs.AI2026

MemVerse: Multimodal Memory for Lifelong Learning Agents

Junming Liu, Yifei Sun, Weihua Cheng +11

cs.AI2026

MemHarness: Memory Is Reconstructed, Not Replayed

Rong Wu, Daocheng Fu, Licheng Wen +10

The paper introduces MemHarness, a framework that lets large language model agents reconstruct and adapt retrieved past experiences to the current context instead of replaying them…

#memory-augmented agents#large language models#experience reconstruction#reinforcement learning
cs.LG2026

Milestones over Outcome: Unlocking Geometric Reasoning with Sub-Goal Verifiable Reward

Jianlong Chen, Daocheng Fu, Shengze Xu +6

cs.CV2023

On the Road with GPT-4V(ision): Early Explorations of Visual-Language Model on Autonomous Driving

Licheng Wen, Xuemeng Yang, Daocheng Fu +15

cs.RO2024

Continuously Learning, Adapting, and Improving: A Dual-Process Approach to Autonomous Driving

Jianbiao Mei, Yukai Ma, Xuemeng Yang +11

cs.CV2024

DocGenome: An Open Large-scale Scientific Document Benchmark for Training and Testing Multi-modal Large Language Models

Renqiu Xia, Song Mao, Xiangchao Yan +19

cs.RO2023

Human-like Decision-making at Unsignalized Intersection using Social Value Orientation

Yan Tong, Licheng Wen, Pinlong Cai +3

cs.CV2025

MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Fanqing Meng, Lingxiao Du, Zongkai Liu +12