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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.

2 papers in our library · 2020–2022

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 43 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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…
  2. 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

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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

 Co-authors here

5 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 95 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

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