Publications

Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding

Published in ICML 2026, 2026

COVER accelerates revocable diffusion decoding while preserving context and generation quality.

Recommended citation: Yanzheng Xiang, Lan Wei, Yizhen Yao, Qinglin Zhu, Hanqi Yan, Chen Jin, Philip Alexander Teare, Dandan Zhang, Lin Gui, Amrutha Saseendran, Yulan He. 2026. "Stop the Flip-Flop: Context-Preserving Verification for Fast Revocable Diffusion Decoding." In ICML 2026.
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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." In COLM 2025.
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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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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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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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