🧑‍🔬 Alyssa Hwang

🏛️ Affiliations

🎓University of PennsylvaniaPhiladelphia · United States2023–2025 · 9 papers🎓Columbia UniversityNew York · United States2017–2020 · 4 papers🎓University College LondonLondon · United Kingdom2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

🧭 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum (2017 · 166 citations)
   The paper tackles a gap in argument mining. Most persuasion research has studied discourse-level signals such as connectives, hedges and argument structure, but the conceptual content of arguments has received little attention, largely because annotated data is missing. The authors build such data from the Change My…
2. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors (2024 · 110 citations)
   Vendors and researchers often claim near-perfect accuracy for detecting AI-written text. These claims are rarely checked on common data, and existing benchmarks are too easy: they seldom vary decoding settings or include adversarial manipulation. The authors address this with RAID, a benchmark of about 6.2 million…
3. Towards Augmenting Lexical Resources for Slang and African American English (2020 · 8 citations)
   Mainstream lexical resources such as WordNet and ConceptNet describe formal Standard American English well.

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. Analyzing the Semantic Types of Claims and Premises in an Online Persuasive ForumChristopher Hidey, Elena Musi, Alyssa Hwang, et al.Workshop on Argument Mining · 166 citations
2. RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text DetectorsLiam Dugan, Alyssa Hwang, Filip Trhlík, et al.Annual Meeting of the Association for Computational Linguistics (ACL) · 110 citations
3. FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models · original ↗ · no summary yet · Proceedings of the 62nd Annual Meeting of the Association for Computational…Andrew Zhu et al.2024 · 50 citations
4. Towards Augmenting Lexical Resources for Slang and African American EnglishAlyssa Hwang, William R. Frey, Kathleen McKeownWorkshop on NLP for Similar Languages, Varieties and Dialects (VarDial) · 8 citations

🤝 Co-authors here

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

• Chris Callison-Burch
• Christopher Hidey
• Daphne Ippolito
• Elena Musi
• Kathleen McKeown
• Kathy McKeown
• Smaranda Muresan

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) ×2: ACL 2024
• Workshop on Argument Mining: Workshop on Argument Mining 2017
• Workshop on NLP for Similar Languages, Varieties and Dialects (VarDial): VarDial 2020

🔗 Cited by

Papers of our library cite their works 167 times (of the 141,840 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 24 October 2026

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