Harmonic Serialism and Finite-State Optimality Theory. - Yiding Hao (FSMNLP, 2017)

Context-Free Transductions with Neural Stacks. - Yiding Hao; William Merrill; Dana Angluin; Robert Frank 001; Noah Amsel; Andrew Benz; Simon Mendelsohn (BlackboxNLP@EMNLP, 2018)

Finding Hierarchical Structure in Neural Stacks Using Unsupervised Parsing. - William Merrill; Lenny Khazan; Noah Amsel; Yiding Hao; Simon Mendelsohn; Robert Frank 001 (BlackboxNLP@ACL, 2019)

Finding Syntactic Representations in Neural Stacks. - William Merrill; Lenny Khazan; Noah Amsel; Yiding Hao; Simon Mendelsohn; Robert Frank 001 (CoRR, 2019)

Action-Sensitive Phonological Dependencies. - Yiding Hao; Dustin Bowers (CoRR, 2019)

Finite-state Optimality Theory: non-rationality of Harmonic Serialism. - Yiding Hao (J. Lang. Model., 2019)

Evaluating Attribution Methods using White-Box LSTMs. - Yiding Hao (BlackboxNLP@EMNLP, 2020)

Attribution Analysis of Grammatical Dependencies in LSTMs. - Yiding Hao (CoRR, 2020)

Probabilistic Predictions of People Perusing: Evaluating Metrics of Language Model Performance for Psycholinguistic Modeling. - Yiding Hao; Simon Mendelsohn; Rachel Sterneck; Randi Martinez; Robert Frank 001 (CoRR, 2020)

An Adversarial Benchmark for Fake News Detection Models. - Lorenzo Jaime Yu Flores; Yiding Hao (CoRR, 2022)

Formal Language Recognition by Hard Attention Transformers: Perspectives from Circuit Complexity. - Yiding Hao; Dana Angluin; Robert Frank 001 (Trans. Assoc. Comput. Linguistics, 2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)

Deep Learning Approaches for Monitoring Age-Related Macular Degeneration Progression in Optical Coherence Tomography. - Yiding Hao (DIAMOND/MARIO@MICCAI, 2024)

Deep Learning for Retinal Degeneration Assessment: A Comprehensive Analysis of the MARIO AMD Progression Challenge. - Rachid Zeghlache; Ikram Brahim; Pierre-Henri Conze; Mathieu Lamard; Mohammed El Amine Lazouni; Elaouaber Zineb Aziza; Leila Ryma Lazouni; Christopher Nielsen; Ahmad O. Ahsan; Matthias Wilms; Nils D. Forkert; Lovre Antonio Budimir; et al. (CoRR, 2025)