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2020 – today
- 2025
[c4]Margaret Mitchell, Giuseppe Attanasio, Ioana Baldini, Miruna Clinciu, Jordan Clive, Pieter Delobelle, Manan Dey, Sil Hamilton, Timm Dill, Jad Doughman, Ritam Dutt, Avijit Ghosh, Jessica Zosa Forde, Carolin Holtermann, Lucie-Aimée Kaffee, Tanmay Laud, Anne Lauscher
, Roberto L. Lopez-Davila, Maraim Masoud, Nikita Nangia, Anaelia Ovalle, Giada Pistilli, Dragomir Radev, Beatrice Savoldi, Vipul Raheja, Jeremy Qin, Esther Ploeger, Arjun Subramonian, Kaustubh D. Dhole, Kaiser Sun, Amirbek Djanibekov, Jonibek Mansurov, Kayo Yin, Emilio Villa Cueva, Sagnik Mukherjee, Jerry Huang, Xudong Shen, Jay Gala, Hamdan Al-Ali, Tair Djanibekov, Nurdaulet Mukhituly, Shangrui Nie, Shanya Sharma, Karolina Stanczak, Eliza Szczechla, Tiago Timponi Torrent, Deepak Tunuguntla, Marcelo Viridiano, Oskar Van Der Wal, Adina Yakefu, Aurélie Névéol, Mike Zhang, Sydney Zink, Zeerak Talat:
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. NAACL (Long Papers) 2025: 11995-12041- [i7]Jiefu Ou, William Gantt Walden, Kate Sanders, Zhengping Jiang, Kaiser Sun, Jeffrey Cheng, William Jurayj, Miriam Wanner, Shaobo Liang, Candice Morgan, Seunghoon Han, Weiqi Wang, Chandler May, Hannah Recknor, Daniel Khashabi, Benjamin Van Durme:
CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? CoRR abs/2503.21717 (2025) - [i6]Kaiser Sun, Fan Bai, Mark Dredze:
What Is Seen Cannot Be Unseen: The Disruptive Effect of Knowledge Conflict on Large Language Models. CoRR abs/2506.06485 (2025) - 2024
- [i5]Kaiser Sun, Mark Dredze:
Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models. CoRR abs/2408.06663 (2024) - 2023
- [j1]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos E. Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
A taxonomy and review of generalization research in NLP. Nat. Mac. Intell. 5(10): 1161-1174 (2023) - [c3]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoNLL 2023: 274-293 - [c2]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. EMNLP (Findings) 2023: 13300-13310 - [i4]Kaiser Sun, Adina Williams, Dieuwke Hupkes:
The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. CoRR abs/2310.17514 (2023) - 2022
- [i3]Dieuwke Hupkes, Mario Giulianelli, Verna Dankers, Mikel Artetxe, Yanai Elazar, Tiago Pimentel, Christos Christodoulopoulos, Karim Lasri, Naomi Saphra, Arabella Sinclair, Dennis Ulmer, Florian Schottmann, Khuyagbaatar Batsuren, Kaiser Sun, Koustuv Sinha, Leila Khalatbari, Maria Ryskina, Rita Frieske, Ryan Cotterell, Zhijing Jin:
State-of-the-art generalisation research in NLP: a taxonomy and review. CoRR abs/2210.03050 (2022) - [i2]Kaiser Sun, Peng Qi, Yuhao Zhang, Lan Liu, William Yang Wang, Zhiheng Huang:
Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. CoRR abs/2212.09912 (2022) - 2021
- [c1]Kaiser Sun, Ana Marasovic:
Effective Attention Sheds Light On Interpretability. ACL/IJCNLP (Findings) 2021: 4126-4135 - [i1]Kaiser Sun, Ana Marasovic:
Effective Attention Sheds Light On Interpretability. CoRR abs/2105.08855 (2021)
Coauthor Index
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