Effective Attention Sheds Light On Interpretability. - Kaiser Sun; Ana Marasovic (ACL/IJCNLP (Findings), 2021)

State-of-the-art generalisation research in NLP: a taxonomy and review. - Dieuwke Hupkes; Mario Giulianelli; Verna Dankers; Mikel Artetxe; Yanai Elazar; Tiago Pimentel; Christos Christodoulopoulos 001; Karim Lasri; Naomi Saphra; Arabella Sinclair; Dennis Ulmer; Florian Schottmann; et al. (CoRR, 2022)

The Validity of Evaluation Results: Assessing Concurrence Across Compositionality Benchmarks. - Kaiser Sun; Adina Williams; Dieuwke Hupkes (CoNLL, 2023)

Tokenization Consistency Matters for Generative Models on Extractive NLP Tasks. - Kaiser Sun; Peng Qi 003; Yuhao Zhang 004; Lan Liu 004; William Yang Wang; Zhiheng Huang (EMNLP (Findings), 2023)

A taxonomy and review of generalization research in NLP. - 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; et al. (Nat. Mac. Intell., 2023)

Amuro & Char: Analyzing the Relationship between Pre-Training and Fine-Tuning of Large Language Models. - Kaiser Sun; Mark Dredze (CoRR, 2024)

SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models. - Margaret Mitchell; Giuseppe Attanasio; Ioana Baldini; Miruna Clinciu; Jordan Clive; Pieter Delobelle; Manan Dey; Sil Hamilton; Timm Dill; Jad Doughman; Ritam Dutt; Avijit Ghosh; et al. (NAACL (Long Papers), 2025)

CLAIMCHECK: How Grounded are LLM Critiques of Scientific Papers? - Jiefu Ou; William Gantt Walden; Kate Sanders 002; Zhengping Jiang; Kaiser Sun; Jeffrey Cheng; William Jurayj; Miriam Wanner; Shaobo Liang; Candice Morgan; Seunghoon Han; Weiqi Wang 001; et al. (CoRR, 2025)

What Is Seen Cannot Be Unseen: The Disruptive Effect of Knowledge Conflict on Large Language Models. - Kaiser Sun; Fan Bai 006; Mark Dredze (CoRR, 2025)