Papers by Jerry Zhang

7 papers
STORM-BORN: A Challenging Mathematical Derivations Dataset Curated via a Human-in-the-Loop Multi-Agent Framework (2025.findings-acl)

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Challenge: Existing datasets suffer from outdated and insufficient challenging content, neglecting human-like reasoning, and limited reliability due to single-LLM generation.
Approach: They propose a human-in-the-loop, multi-agent data generation framework that integrates reasoning-dense filters, multiagent collaboration, and human mathematicians’ evaluations to ensure the reliability and quality of the dataset.
Outcome: The proposed framework improves accuracy and quality of the 2,000-synthesized datasets by integrating reasoning-dense filters, multi-agent collaboration, and human mathematicians’ evaluations.
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.
Tackling Distractor Documents in Multi-Hop QA with Reinforcement and Curriculum Learning (2026.findings-eacl)

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Challenge: Existing work on retrieval-augmented generation systems has shown that retrievers exhibit imperfect recall and precision, limiting downstream performance.
Approach: They propose a retrieval-augmented generation model that generates answers from larger sets of retrieved contexts.
Outcome: The proposed model generates answers and cites relevant information from larger sets of retrieved contexts.
Contextual Relevance and Adaptive Sampling for LLM-Based Document Reranking (2026.acl-long)

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Challenge: identifying relevant documents for Reasoning-intensive queries remains a challenge . large language models have shown strong performance in zero-shot document reranking .
Approach: They propose a reranking algorithm that estimates contextual relevance by aggregating LLMs' relevance judgments across batches.
Outcome: The proposed algorithm improves nDCG@10 over retrieval and reranking baselines by 15% and 6–21% respectively.
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature (2024.naacl-long)

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Challenge: SciIE datasets for polymer materials are lacking for this class of materials . POLYIE is curated from 146 full-length polymer scholarly articles .
Approach: They propose a SciIE dataset for polymer materials that uses entity annotations from 146 full-length articles.
Outcome: The proposed dataset is curated from 146 full-length polymer scholarly articles . it presents challenges due to diverse lexical formats of entities and ambiguity between entities .

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