Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models. - Jiaoda Li; Duygu Ataman; Rico Sennrich (EMNLP (1), 2021)

Differentiable Subset Pruning of Transformer Heads. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (Trans. Assoc. Comput. Linguistics, 2021)

Probing via Prompting. - Jiaoda Li; Ryan Cotterell; Mrinmaya Sachan (NAACL-HLT, 2022)

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models. - Yifan Hou; Jiaoda Li; Yu Fei; Alessandro Stolfo; Wangchunshu Zhou; Guangtao Zeng; Antoine Bosselut; Mrinmaya Sachan (EMNLP, 2023)

What Do Language Models Learn in Context? The Structured Task Hypothesis. - Jiaoda Li; Yifan Hou; Mrinmaya Sachan; Ryan Cotterell (ACL (1), 2024)

A Transformer with Stack Attention. - Jiaoda Li; Jennifer C. White; Mrinmaya Sachan; Ryan Cotterell (NAACL-HLT (Findings), 2024)

Unique Hard Attention: A Tale of Two Sides. - Selim Jerad; Anej Svete; Jiaoda Li; Ryan Cotterell (CoRR, 2025)

Characterizing the Expressivity of Transformer Language Models. - Jiaoda Li; Ryan Cotterell (CoRR, 2025)