Papers by Yaowenqi Liu

1 papers
GUIDE: Towards Scalable Advising for Research Ideas (2026.acl-long)

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Challenge: Existing systems that provide detailed, constructive feedback on academic papers struggle with review fidelity.
Approach: They explore factors that underlie the development of robust advising systems . large language models have shown remarkable progress in tasks from text generation to code synthesis .
Outcome: The proposed model outperforms general-purpose language models in acceptance rates for self-ranked top-30% submissions to ICLR 2025.

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