Papers by Xinlu Zhang

3 papers
PcMSP: A Dataset for Scientific Action Graphs Extraction from Polycrystalline Materials Synthesis Procedure Text (2022.findings-emnlp)

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Challenge: 305 open access scientific articles are used for synthesis action graphs . lack of annotated data has hindered progress in this field .
Approach: They propose to annotate Polycrystalline Materials Synthesis Procedures PcMSP from 305 open access scientific articles for the construction of synthesis action graphs.
Outcome: The proposed dataset contains the synthesis sentences, entity mentions and intra-sentence relations extracted from the experimental paragraphs.
CBT-Bench: Evaluating Large Language Models on Assisting Cognitive Behavior Therapy (2025.naacl-long)

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Challenge: Existing research has explored mental health condition classifications, empathetic conversations, and chatbots designed for simple discourse structures.
Approach: They propose a benchmark for systematic evaluation of cognitive behavioral therapy assistance using Large Language Models (LLMs).
Outcome: The proposed benchmark includes three levels of tasks covering key aspects of cognitive behavioral therapy that could be enhanced through AI assistance.
Search Wisely: Mitigating Sub-optimal Agentic Searches By Reducing Uncertainty (2025.emnlp-main)

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Challenge: Recent advances in Large Language Models (LLMs) have propelled their use in informationintensive tasks such as question answering and knowledge synthesis.
Approach: They propose a reinforcement learning-based training method that incorporates confidence thresholds to reward high-certainty search decisions.
Outcome: The proposed method outperforms baseline models on seven QA benchmarks and demonstrates that it is more efficient than existing methods.

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