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).
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).
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.
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).
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).
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).
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.
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.
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).
S Qi, L Gui, Y He, Z Yuan. (2024). "A Survey of Automatic Hallucination Evaluation on Natural Language Generation." arXiv preprint arXiv:2404.12041.
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.
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.
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.
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA, USA
Talk at London School of Testing, London, UK
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley, CA, USA
Talk at UC San Francisco, Department of Testing, San Francisco, CA, USA