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2020 – today
- 2024
[c8]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: A Multi-Hop, Multi-Document Question Answering Benchmark for Large Language Models. ACL (Short Papers) 2024: 18-37- [c7]Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. ACL (1) 2024: 12463-12492 - [c6]Litao Yan
, Alyssa Hwang, Zhiyuan Wu, Andrew Head:
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CHI 2024: 140:1-140:15 - [i10]Andrew Zhu, Alyssa Hwang, Liam Dugan, Chris Callison-Burch:
FanOutQA: Multi-Hop, Multi-Document Question Answering for Large Language Models. CoRR abs/2402.14116 (2024) - [i9]Alyssa Hwang, Kalpit Dixit, Miguel Ballesteros, Yassine Benajiba, Vittorio Castelli, Markus Dreyer, Mohit Bansal, Kathleen R. McKeown:
NewsQs: Multi-Source Question Generation for the Inquiring Mind. CoRR abs/2402.18479 (2024) - [i8]Litao Yan, Alyssa Hwang, Zhiyuan Wu, Andrew Head:
Ivie: Lightweight Anchored Explanations of Just-Generated Code. CoRR abs/2403.02491 (2024) - [i7]Liam Dugan, Alyssa Hwang, Filip Trhlík, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. CoRR abs/2405.07940 (2024) - [i6]Sitong Wang, Xuanming Zhang, Jenny Ma, Alyssa Hwang, Lydia B. Chilton:
JumpStarter: Getting Started on Personal Goals with AI-Powered Context Curation. CoRR abs/2410.03882 (2024) - 2023
- [c5]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. Conference on Designing Interactive Systems 2023: 2233-2248 - [i5]Alyssa Hwang, Natasha Oza, Chris Callison-Burch, Andrew Head:
Rewriting the Script: Adapting Text Instructions for Voice Interaction. CoRR abs/2306.09992 (2023) - [i4]Alyssa Hwang, Bryan Li, Zhaoyi Hou, Dan Roth:
Large Language Models as Sous Chefs: Revising Recipes with GPT-3. CoRR abs/2306.13986 (2023) - [i3]Andrew Zhu, Liam Dugan, Alyssa Hwang, Chris Callison-Burch:
Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications. CoRR abs/2309.05542 (2023) - [i2]Alyssa Hwang, Andrew Head, Chris Callison-Burch:
Grounded Intuition of GPT-Vision's Abilities with Scientific Images. CoRR abs/2311.02069 (2023) - 2020
- [c4]Alyssa Hwang, William R. Frey, Kathleen R. McKeown:
Towards Augmenting Lexical Resources for Slang and African American English. VarDial@COLING 2020: 160-172 - [i1]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. CoRR abs/2004.14677 (2020)
2010 – 2019
- 2019
- [c3]Tuhin Chakrabarty, Christopher Hidey, Smaranda Muresan, Kathy McKeown, Alyssa Hwang:
AMPERSAND: Argument Mining for PERSuAsive oNline Discussions. EMNLP/IJCNLP (1) 2019: 2933-2943 - [c2]Alyssa Hwang, Christopher Hidey:
Confirming the Non-compositionality of Idioms for Sentiment Analysis. MWE-WN@ACL 2019: 125-129 - 2017
- [c1]Christopher Hidey, Elena Musi, Alyssa Hwang, Smaranda Muresan, Kathy McKeown:
Analyzing the Semantic Types of Claims and Premises in an Online Persuasive Forum. ArgMining@EMNLP 2017: 11-21
Coauthor Index
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