Haochen Liu
Haochen Liu has 2 papers in our library, in 2020–2022, most of them on Dialogue systems, Evaluation & benchmarks, Bias, fairness & safety; often with Jamell Dacon, Jiliang Tang, Hui Liu.
OpenAlex · ORCID · h-index 28 · 163 works · 3,215 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 95 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6320
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksSafety Research · 2 worksSocial Sciences · 2 works
🧭 Topics 4Research subjects and languages the work is about.Bias, fairness & safety · 1 workDialogue systems · 1 workEnglish · 1 workEvaluation & benchmarks · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Chatbots · 1 work
Works by year
2020s
Papers
- Does Gender Matter? Towards Fairness in Dialogue Systems (2020 · 133 citations)
Dialogue systems learn from real human conversations, so they can pick up social prejudices. Their fairness had received little systematic study. The authors examine whether popular dialogue models treat genders (male vs. female) and races differently, with race represented as standard English vs. African American… - Evaluating and Mitigating Inherent Linguistic Bias of African American English through Inference (2022 · 6 citations)
NLP models trained mostly on Standard American English (SAE) often misjudge text in African American English (AAE).
All works
- Does Gender Matter? Towards Fairness in Dialogue SystemsInternational Conference on Computational Linguistics (COLING)Haochen Liu, Jamell Dacon, Wenqi Fan, et al.2020 · 133 citations
- Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning ↗Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yetHaochen Liu et al.2020 · 86 citations
- Automated Embedding Size Search in Deep Recommender Systems ↗International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · no summary yetHaochen Liu et al.2020 · 79 citations
- Evaluating and Mitigating Inherent Linguistic Bias of African American English through InferenceInternational Conference on Computational Linguistics (COLING)Jamell Dacon, Haochen Liu, Jiliang Tang2022 · 6 citations
Co-authors here
Venues
- International Conference on Computational Linguistics (COLING) ×2: COLING 2022, COLING 2020
- International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
- Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
Cited by
Updated
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