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 2025Show all

2 papers · 1 filter

cs.LG2025

Token Hidden Reward: Steering Exploration-Exploitation in Group Relative Deep Reinforcement Learning

Wenlong Deng, Yi Ren, Yushu Li +4

Reinforcement learning with verifiable rewards has significantly advanced the reasoning capabilities of large language models, yet how to explicitly steer training toward explorati…

cs.CL2025

For-Value: Efficient Forward-Only Data Valuation for finetuning LLMs and VLMs

Wenlong Deng, Qi Zeng, Jiaming Zhang +5

Data valuation is essential for enhancing the transparency and accountability of large language models (LLMs) and vision-language models (VLMs). However, existing methods typically…