1 citations · 1 across the 3 of their papers we have counts for
4 papers
When Terminal-Agent Training Stalls: Demystifying Data Generation and Verification Challenge
Xi Qin, Isabel Kurth, Xin Cui +3
Using a frontier model like Claude Opus as a meta-agent to generate terminal tasks and verifiers for RL training is increasingly common. Yet a runnable Docker image and executable…
Minimal-Intervention KV Retention via Set-Conditioned Diversity
Libo Sun, Po-wei Harn, Peixiong He +1
KV-cache compression at small budgets is a crowded design space spanning cache representation, head-wise routing, compression cadence, decoding behavior, and within-budget scoring.…
Smaller Models, Smarter Rewards: A Two-Sided Approach to Process and Outcome Rewards
Jan Niklas Groeneveld, Xi Qin, Alexander Schaefer +1
Generating high-quality code remains a challenge for Large Language Models (LLMs). For the evolution of reasoning models on this task, reward models are a necessary intermediate st…
GPT-Lab: Next Generation Of Optimal Chemistry Discovery By GPT Driven Robotic Lab
Xiaokai Qin, Mingda Song, Yangguan Chen +2
The integration of robots in chemical experiments has enhanced experimental efficiency, but lacking the human intelligence to comprehend literature, they seldom provide assistance…