activity
20232026
most citedJARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

6 citations · 7 across the 8 of their papers we have counts for

collaborators
Showing cs.AIShow all

3 papers · 1 filter

cs.AI2026

Beneath the Surface: What We Overlook When We Talk About Agent Evolution

Xiaobo Wang, Zimu Wang, Siyu Ye +13

Agent harness evolution enables recursive self-improvement (RSI) without updating model weights. We examine whether higher benchmark scores yield reliable, efficient, and transfera…

cs.AI2024

RAM: Towards an Ever-Improving Memory System by Learning from Communications

Jiaqi Li, Xiaobo Wang, Wentao Ding +4

We introduce an innovative RAG-based framework with an ever-improving memory. Inspired by humans'pedagogical process, RAM utilizes recursively reasoning-based retrieval and experie…

cs.AI2023★ 6 cited

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

Zihao Wang, Shaofei Cai, Anji Liu +9

Achieving human-like planning and control with multimodal observations in an open world is a key milestone for more functional generalist agents. Existing approaches can handle cer…