activity
20232026
most citedLarge Language Models for Robotics: A Survey

38 citations · 72 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

OpenSkill: Open-World Self-Evolution for LLM Agents

Zhiling Yan, Dingjie Song, Hanrong Zhang +8

Self-evolving agents requires adaptation after deployment, but existing approaches assume a usable learning loop, such as curated skills, successful trajectories, or verifier signa…

cs.AI2026

AutoResearch AI: Towards AI-Powered Research Automation for Scientific Discovery

Guiyao Tie, Jiawen Shi, Dingjie Song +20

Scientific research is being reshaped by AI systems that move beyond isolated assistance toward longer-horizon workflows spanning literature grounding, hypothesis generation, exper…

cs.AI2024★ 4 cited

Rec-GPT4V: Multimodal Recommendation with Large Vision-Language Models

Yuqing Liu, Yu Wang, Lichao Sun +1

The development of large vision-language models (LVLMs) offers the potential to address challenges faced by traditional multimodal recommendations thanks to their proficient unders…

cs.RO2023★ 38 cited

Large Language Models for Robotics: A Survey

Fanlong Zeng, Wensheng Gan, Zezheng Huai +5

The human ability to learn, generalize, and control complex manipulation tasks through multi-modality feedback suggests a unique capability, which we refer to as dexterity intellig…

cs.LG2023★ 30 cited

Graph Foundation Models: Concepts, Opportunities and Challenges

Jiawei Liu, Cheng Yang, Zhiyuan Lu +8

Foundation models have emerged as critical components in a variety of artificial intelligence applications, and showcase significant success in natural language processing and seve…