Papers by Yuru Wang

2 papers
ReviewRL: Towards Automated Scientific Review with RL (2025.emnlp-main)

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Challenge: Existing automated review systems struggle with factual accuracy, rating consistency, and analytical depth.
Approach: They propose a framework for generating comprehensive and factually grounded scientific paper reviews using supervised fine-tuning and reinforcement learning.
Outcome: The proposed framework outperforms existing methods on ICLR 2025 papers.
The CRECIL Corpus: a New Dataset for Extraction of Relations between Characters in Chinese Multi-party Dialogues (2022.lrec-1)

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Challenge: Existing datasets focus on relation extraction between two entities in one sentence, and some focus on cross-sentence relationships.
Approach: They propose to use a Chinese multi-party dialogue dataset for automatic extraction of dialogue-based character relationships.
Outcome: The proposed dataset extracts relationships between 140 entities on the CRECIL corpus and another existing relation extraction corpus.

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