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projects
SAPGraph: Structure-aware Scientific Document Summarization
Published:
Structure-aware extractive summarization for scientific papers using heterogeneous graph neural networks
Recommended citation: S Qi, L Li, Y Li, J Jiang, D Hu, Y Li, Y Zhu, Y Zhou, M Litvak, N Vanetik. (2022). "SAPGraph: Structure-aware extractive summarization for scientific papers with heterogeneous graph." Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics.
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Awesome-Hallu-Eval: A Comprehensive Collection of Hallucination Evaluation Methods
Published:
A curated list of evaluators designed to assess model hallucination in language models
Recommended citation: S Qi. (2024). "Awesome-Hallu-Eval: A Comprehensive Collection of Hallucination Evaluation Methods." GitHub Repository.
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FHSumBench: Evaluating LLMs’ Assessment of Mixed-Context Hallucination Through the Lens of Summarization
Published:
Data and code for evaluating LLMs assessment of mixed-context hallucination through summarization
Recommended citation: S Qi, R Cao, Y He, Z Yuan. (2025). "Evaluating LLMs Assessment of Mixed-Context Hallucination Through the Lens of Summarization." arXiv preprint arXiv:2503.01670.
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publications
CIST@CL-SciSumm 2020, LongSumm 2020: Automatic scientific document summarization
Published in SDP Workshop @ EMNLP 2020, 2020
Automatic scientific document summarization for CL-SciSumm 2020 and LongSumm 2020 shared tasks.
Recommended citation: L Li, Y Xie, W Liu, Y Liu, Y Jiang, S Qi, X Li. (2020). "CIST@CL-SciSumm 2020, LongSumm 2020: Automatic scientific document summarization." Proceedings of the First Workshop on Scholarly Document Processing. 225-234.
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Subjective bias in abstractive summarization
Published in arXiv preprint, 2021
Investigating subjective bias in abstractive summarization and its impact on summary quality.
Recommended citation: L Li, W Liu, M Litvak, N Vanetik, J Pei, Y Liu, S Qi. (2021). "Subjective bias in abstractive summarization." arXiv preprint arXiv:2106.10084.
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SAPGraph: Structure-aware extractive summarization for scientific papers with heterogeneous graph
Published in AACL-IJCNLP 2022, 2022
Structure-aware extractive summarization for scientific papers using heterogeneous graph neural networks.
Recommended citation: S Qi, L Li, Y Li, J Jiang, D Hu, Y Li, Y Zhu, Y Zhou, M Litvak, N Vanetik. (2022). "SAPGraph: Structure-aware extractive summarization for scientific papers with heterogeneous graph." Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics.
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A Survey of Automatic Hallucination Evaluation on Natural Language Generation
Published in arXiv preprint, 2024
Comprehensive survey of automatic hallucination evaluation methods in natural language generation.
Recommended citation: S Qi, L Gui, Y He, Z Yuan. (2024). "A Survey of Automatic Hallucination Evaluation on Natural Language Generation." arXiv preprint arXiv:2404.12041.
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Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases
Published in ACL 2025, 2025
Information-theoretic analysis of L1-dependent biases in LLM simulation of L2-English dialogue.
Recommended citation: R Gao, X Wu, T Kuribayashi, M Ye, S Qi, C Roever, Y Liu, Z Yuan, JH Lau. (2025). "Can LLMs Simulate L2-English Dialogue? An Information-Theoretic Analysis of L1-Dependent Biases." Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025).
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EnigmaToM: Improve LLMs’ Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States
Published in Findings of ACL 2025, 2025
Improving LLMs theory-of-mind reasoning capabilities using neural knowledge base of entity states.
Recommended citation: H Xu, S Qi, J Li, Y Zhou, J Du, C Catmur, Y He. (2025). "EnigmaToM: Improve LLMs Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States." Findings of the Association for Computational Linguistics: ACL 2025.
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Evaluating LLMs’ Assessment of Mixed-Context Hallucination Through the Lens of Summarization
Published in Findings of ACL 2025, 2025
Evaluation of LLMs assessment capabilities for mixed-context hallucination in summarization tasks.
Recommended citation: S Qi, R Cao, Y He, Z Yuan. (2025). "Evaluating LLMs Assessment of Mixed-Context Hallucination Through the Lens of Summarization." Findings of the Association for Computational Linguistics: ACL 2025.
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NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning
Published in EMNLP 2025, 2025
Incentive training for language models using verifier-free reinforcement learning approach.
Recommended citation: W Liu, S Qi, X Wang, C Qian, Y Du, Y He. (2025). "NOVER: Incentive Training for Language Models via Verifier-Free Reinforcement Learning." Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).
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Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score
Published in AAAI 2026, 2025
A label-free metric for aligning retrieved summaries with reader models in retrieval-augmented generation.
Recommended citation: Z Hu, Q Zhu, S Qi, Y He, H Yan, L Gui. (2025). "Beyond Perplexity: Let the Reader Select Retrieval Summaries via Spectrum Projection Score." Proceedings of the AAAI Conference on Artificial Intelligence (AAAI 2026).
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When Thinking Backfires: Mechanistic Insights into Reasoning-Induced Misalignment
Published in ICLR 2026, 2025
Mechanistic analysis of how strengthening reasoning capabilities can induce misalignment in LLMs.
Recommended citation: H Yan, H Xu, S Qi, S Yang, Y He. (2026). "When Thinking Backfires: Mechanistic Insights into Reasoning-Induced Misalignment." International Conference on Learning Representations (ICLR 2026).
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Position: Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain
Published in ICML 2026 (Position Paper Track), 2026
A position paper on why self-evolving LLM systems plateau and how to sustain self-improvement.
Recommended citation: W Liu, S Qi, Y Du, Y He. (2026). "Position: Self-Play Only Evolves When Self-Synthetic Pipeline Ensures Learnable Information Gain." Forty-third International Conference on Machine Learning (ICML 2026), Position Paper Track.
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HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices
Published in EMNLP 2026 (System Demonstrations), 2026
A privacy-preserving, locally deployable LLM agent platform for real-time health insights from wearables.
Recommended citation: W Liu, S Qi, L Zhang, L Tudor Car, Y He. (2026). "HiMe: Real-Time Self-Hosted Personal Agent Platform for Health Insights with Wearable Devices." Proceedings of the 2026 Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP 2026 Demo).
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Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention
Published in ICML 2026, 2026
A frequency-aware view of attention dynamics for lightweight contextual hallucination detection.
Recommended citation: S Qi, Y Chen, R Zhao, Q Zhu, Z Hu, W Liu, Y He, Z Yuan, L Gui. (2026). "Detecting Contextual Hallucinations in Large Language Models with Frequency-Aware Attention." Forty-third International Conference on Machine Learning (ICML 2026).
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talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
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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