3 citations · 8 across the 8 of their papers we have counts for
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cs.CL2024★ 2 cited
LDC: Learning to Generate Research Idea with Dynamic Control
Ruochen Li, Liqiang Jing, Chi Han +2
Recent advancements in large language models (LLMs) have demonstrated their potential in automating the scientific research ideation. Existing approaches primarily focus on prompti…
cs.AI2024★ 3 cited
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
Ruochen Li, Teerth Patel, Qingyun Wang +1
Autonomous machine learning research has gained significant attention recently. We present MLR-COPILOT, an autonomous Machine Learning Research framework powered by large language…
cs.CL2024★ 3 cited
IQA-EVAL: Automatic Evaluation of Human-Model Interactive Question Answering
Ruosen Li, Ruochen Li, Barry Wang +1
To evaluate Large Language Models (LLMs) for question answering (QA), traditional methods typically focus on assessing single-turn responses to given questions. However, this appro…