--- title: "Hung-Ting Chen — author profile and papers in our library" description: "Hung-Ting Chen: 3 papers on Elamur Research (2022–2025), h-index 2 — affiliations, topics, co-authors and who cites them in our library." canonical: "https://research.elamur.ai/free/en/authors/hung-ting-chen/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hung-ting-chen/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hung-Ting Chen # Hung-Ting Chen Hung-Ting Chen has 3 papers in our library, in 2022–2025, most of them on [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Information retrieval & search](https://md.research.elamur.ai/free/en/topics/information-retrieval/); often with [Eunsol Choi](https://md.research.elamur.ai/free/en/authors/eunsol-choi/), [Shane Arora](https://md.research.elamur.ai/free/en/authors/shane-arora/), [Fangyuan Xu](https://md.research.elamur.ai/free/en/authors/fangyuan-xu/). 3 papers in our library · 2022–2025 [OpenAlex](https://openalex.org/A5058129659) · [**h-index 2**](https://openalex.org/authors/A5058129659) · [6 works](https://openalex.org/works?filter=author.id:A5058129659) · [12 citations](https://openalex.org/works?filter=author.id:A5058129659&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/#papers) · [🔗 Cited 122 times in our library](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6111](https://md.research.elamur.ai/free/en/paper-stars/page/62/#star-6111) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hung-Ting+Chen) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hung-Ting+Chen) · [dblp](https://dblp.org/search?q=Hung-Ting+Chen) · [ACL Anthology](https://aclanthology.org/search/?q=Hung-Ting+Chen) ## Affiliations [🎓**The University of Texas at Austin** Austin · United States 2023–2025 · 3 papers](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Information Systems · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) 🧭 Topics 2 Research subjects and languages the work is about.[Question answering · 2 works](https://md.research.elamur.ai/free/en/topics/question-answering/) · [Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) ## Works by year ### 2020s [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/year/2025/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/year/2023/) · [**2022** 1 paper](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/year/2022/) ## Papers The most cited first (OpenAlex and our library). 1. **[Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/)** *(2022 · 105 citations)* Open-retrieval QA systems can draw on two kinds of knowledge: facts memorized in a language model's weights and up to a hundred retrieved passages. 2. **[CaLMQA: Exploring culturally specific long-form question answering across 23 languages](https://md.research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/)** *(2025 · 27 citations)* Most multilingual QA research relies on material translated from English and on short or multiple-choice answers. 3. **[Understanding Retrieval Augmentation for Long-Form Question Answering](https://md.research.elamur.ai/free/en/papers/chen-2023-understanding-retrieval-augmentation-long-form/)** *(2023 · 24 citations)* Retrieval augmentation is widely used to give language models fresh evidence for long-form answers. However, most analyses of how models actually use retrieved text have focused on factoid QA with short, easily scored answers. This paper examines that question for long-form question answering (LFQA) through two… ## All works 4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them. 1. **[Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence](https://md.research.elamur.ai/free/en/papers/chen-2022-rich-knowledge-sources-bring-complex/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Hung-Ting Chen, Michael Zhang, Eunsol Choi*2022 · 105 citations* 2. **[CaLMQA: Exploring culturally specific long-form question answering across 23 languages](https://md.research.elamur.ai/free/en/papers/arora-2025-calmqa-exploring-culturally-specific-long/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Shane Arora, Marzena Karpinska, Hung-Ting Chen, et al.*2025 · 27 citations* 3. [**Understanding Retrieval Augmentation for Long-Form Question Answering arXiv:2310.12150**Hung-Ting Chen, Fangyuan Xu, Shane Arora, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/chen-2023-understanding-retrieval-augmentation-long-form/) 4. **[RVR: Retrieve-Verify-Retrieve for Comprehensive Question Answering ↗](https://arxiv.org/abs/2602.18425) arXiv (Cornell University) · no summary yet**Deniz Qian, Hung-Ting Chen, Eunsol Choi*2026* ## Co-authors here 6 co-authors with a page, the most papers together first. - [Eunsol Choi](https://md.research.elamur.ai/free/en/authors/eunsol-choi/) ×3 - [Shane Arora](https://md.research.elamur.ai/free/en/authors/shane-arora/) ×2 - [Fangyuan Xu](https://md.research.elamur.ai/free/en/authors/fangyuan-xu/) - [Marzena Karpinska](https://md.research.elamur.ai/free/en/authors/marzena-karpinska/) - [Michael Zhang](https://md.research.elamur.ai/free/en/authors/michael-zhang/) - [Mohit Iyyer](https://md.research.elamur.ai/free/en/authors/mohit-iyyer/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/): [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) - [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2022](https://md.research.elamur.ai/free/en/venues/emnlp/2022/) ## Cited by Papers of our library cite their works 122 times (of the 149,439 papers whose bibliographies we read); [29 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hung-ting-chen/cited-by/). Updated 30 October 2026