Papers by Yuyang Xu

2 papers
DyLex: Incorporating Dynamic Lexicons into BERT for Sequence Labeling (2021.emnlp-main)

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Challenge: Existing approaches to integrate lexical knowledge into deep learning models are limited by large-scale dynamic lexicons.
Approach: They propose a plug-in lexicon incorporation approach for BERT based sequence labeling tasks . they adopt word-agnostic tag embeddings to avoid re-training the representation .
Outcome: The proposed framework achieves new SOTA even with large scale lexicons, the authors show . they adopt word-agnostic tag embeddings to avoid re-training the representation .
LLMs Can Simulate Standardized Patients via Agent Coevolution (2025.acl-long)

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Challenge: Training medical personnel using standardized patients (SPs) remains a complex challenge, necessitating extensive domain expertise and role-specific practice.
Approach: They propose a simulated patient framework that allows patient agents to simulate diagnostic process through multi-turn dialogues.
Outcome: The proposed framework improves over existing reasoning methods by more than 10% in requirement alignment and better human preference after evolving over 200 cases for 10 hours with excellent generalizability.

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