Hangfeng He
Hangfeng He has 2 papers in our library, in 2020–2026, most of them on Semantic role labeling, Language models & pretraining, English; often with Ayal Klein, Dan Roth, Daniela Stepanov.
OpenAlex · ORCID · h-index 12 · 36 works · 648 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 201 times in our library · 12 more in our library without a page yet · ⭐ Paper Stars ranking: #8076
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 3Research subjects and languages the work is about.English · 1 workSemantic role labeling · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- QANom: Question-Answer driven SRL for Nominalizations (2020 · 41 citations)
QANom extends QA-SRL from verbs to nouns derived from verbs: a noun like proof or increase is questioned with its verb's question templates («What has someone proved?», «Why did something increase?») and answered with spans of the sentence. - Ranking Human and LLM Texts Using Locality Statistics (2026)
Most detectors of machine-generated text rely on large transformer models, which are costly to run and hard to interpret.
All works
- A Unified Model for Cross-Domain and Semi-Supervised Named Entity Recognition in Chinese Social Media ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetHangfeng He, Xu Sun2017 · 145 citations
- Rethinking with Retrieval: Faithful Large Language Model Inference ↗arXiv:2301.00303 · no summary yetHangfeng He, Hongming Zhang, Dan Roth2023 · 143 citations
- QuASE: Question-Answer Driven Sentence Encoding ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetHangfeng He, Qiang Ning, Dan Roth2020 · 43 citations
- QANom: Question-Answer driven SRL for NominalizationsAyal Klein, Jonathan Mamou, Valentina Pyatkin, et al.English · 41 citations
- Partial Or Complete, That's The Question ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetQiang Ning et al.2019 · 22 citations
- SocREval: Large Language Models with the Socratic Method for Reference-free Reasoning Evaluation ↗Findings of the Association for Computational Linguistics: NAACL 2024 · no summary yetHangfeng He, Hongming Zhang, Dan Roth2024 · 21 citations
- Foreseeing the Benefits of Incidental Supervision ↗Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing · no summary yetHangfeng He et al.2021 · 17 citations
- Weighted Training for Cross-Task Learning ↗arXiv (Cornell University) · no summary yetShuxiao Chen et al.2021 · 8 citations
- Understanding Spatial Relations through Multiple Modalities ↗Proceedings of the Twelfth Language Resources and Evaluation Conference · no summary yetSoham Dan, Hangfeng He, Dan Roth2020 · 8 citations
- Transfer Learning via Representation Learning ↗Adaptation, learning, and optimization · no summary yetMohammad Ghomi Rostami et al.2022 · 5 citations
- On Regularization and Inference with Label Constraints ↗arXiv (Cornell University) · no summary yetKaifu Wang et al.2023 · 4 citations
- Ranking Human and LLM Texts Using Locality StatisticsFindings of the Association for Computational LinguisticsYiyang Wang, Chen Ding, Hangfeng He2026
- PABI: A Unified PAC-Bayesian Informativeness Measure for Incidental Supervision Signals ↗no summary yetHangfeng He et al.2021
- Incidental Supervision from Question-Answering Signals ↗no summary yetHangfeng He, Qiang Ning, Dan Roth2019
Co-authors here
Venues
- International Conference on Computational Linguistics (COLING): COLING 2020
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Adaptation, learning, and optimization
- Findings of the Association for Computational Linguistics: NAACL 2024
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Proceedings of the AAAI Conference on Artificial Intelligence
- Proceedings of the Twelfth Language Resources and Evaluation Conference
Cited by
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