activity
20242026
most citedModel-in-the-Loop (MILO): Accelerating Multimodal AI Data Annotation with LLMs

3 citations · 3 across the 4 of their papers we have counts for

collaborators
Showing 2026Show all

1 paper · 1 filter

cs.CL2026

On Group Relative Policy Optimization Collapse in Agent Search: The Lazy Likelihood-Displacement

Wenlong Deng, Yushu Li, Boying Gong +3

Tool-integrated (TI) reinforcement learning (RL) enables large language models (LLMs) to perform multi-step reasoning by interacting with external tools such as search engines and…