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A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base QA

Published in Findings of EMNLP 2021, 2021

Divide-and-conquer strategy for multi-label, multi-hop relation detection in knowledge-base question answering.

Recommended citation: Deyu Zhou, Yanzheng Xiang, Linhai Zhang, Chenchen Ye, Qian-Wen Zhang, Yunbo Cao. 2021. "A Divide-And-Conquer Approach for Multi-label Multi-hop Relation Detection in Knowledge Base QA." In Findings of EMNLP 2021.
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G3R: A Graph-Guided Generate-and-Rerank Framework for Cross-domain Text-to-SQL Generation

Published in Findings of ACL 2023, 2023

A graph-guided generate-and-rerank framework that advances cross-domain text-to-SQL generation.

Recommended citation: Yanzheng Xiang, Qian-Wen Zhang, Xu Zhang, Zejie Liu, Yunbo Cao, Deyu Zhou. 2023. "G3R: A Graph-Guided Generate-and-Rerank Framework for Cross-domain Text-to-SQL Generation." In Findings of ACL 2023.
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Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models

Published in Findings of ACL 2024, 2024

Mitigating sensitivity to demonstration order in in-context learning with causal language models.

Recommended citation: Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He. 2024. "Addressing Order Sensitivity of In-Context Demonstration Examples in Causal Language Models." In Findings of ACL 2024.
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Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective

Published in EMNLP 2024, 2024

Analyzing how feature decorrelation influences monosemanticity in language models.

Recommended citation: Hanqi Yan, Yanzheng Xiang, Guangyi Chen, Yifei Wang, Lin Gui, Yulan He. 2024. "Encourage or Inhibit Monosemanticity? Revisit Monosemanticity from a Feature Decorrelation Perspective." In EMNLP 2024.
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The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis

Published in EMNLP 2024, 2024

Surveying interpretability and analysis techniques for understanding in-context learning.

Recommended citation: Yuxiang Zhou, Jiazheng Li, Yanzheng Xiang, Hanqi Yan, Lin Gui, Yulan He. 2024. "The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis." In EMNLP 2024.
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SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers

Published in COLM 2025, 2025

Benchmarking agentic LLM systems on reproducing algorithms described in research papers.

Recommended citation: Yanzheng Xiang, Hanqi Yan, Shuyin Ouyang, Lin Gui, Yulan He. 2025. "SciReplicate-Bench: Benchmarking LLMs in Agent-driven Algorithmic Reproduction from Research Papers." Under review at COLM 2025.
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PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA

Published in Findings of ACL 2025, 2025

Dynamic progress control with hierarchical graph reasoning for long-document question answering.

Recommended citation: Xinyu Wang, Yanzheng Xiang, Lin Gui, Yulan He. 2025. "PECAN: LLM-Guided Dynamic Progress Control with Attention-Guided Hierarchical Weighted Graph for Long-Document QA." In Findings of ACL 2025.
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Talk 1 on Relevant Topic in Your Field

Talk, UC San Francisco, Department of Testing, San Francisco, California, March 01, 2012

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Tutorial 1 on Relevant Topic in Your Field

Tutorial, UC-Berkeley Institute for Testing Science, Berkeley CA, USA, March 01, 2013

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Talk 2 on Relevant Topic in Your Field

Talk, London School of Testing, London, UK, February 01, 2014

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Conference Proceeding talk 3 on Relevant Topic in Your Field

Conference proceedings talk, Testing Institute of America 2014 Annual Conference, Los Angeles, CA, March 01, 2014

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Towards Automatic Code Reproduction for Scientific Papers: Benchmarks and Methodologies

Invited Talk, Meta, LLaMA Community Meet-up, London, United Kingdom, April 06, 2025

I presented our latest work on SciReplicate-Bench and shared methodologies for building agentic LLM systems that can reliably reproduce code from scientific publications. The talk covered benchmarking strategies, memory management, and tooling considerations for research automation.

Teaching experience 1

Undergraduate course, University 1, Department, 2014

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Teaching experience 2

Workshop, University 1, Department, 2015

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