Sathvik Nair

According to our database, Sathvik Nair authored at least 8 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Filling in the Mechanisms: How do LMs Learn Filler-Gap Dependencies under Developmental Constraints?

Atrey Desai, Sathvik Nair

CoRR, April, 2026

Across the Levels of Analysis: Explaining Predictive Processing in Humans Requires More Than Machine-Estimated Probabilities.

Sathvik Nair, Colin Phillips

CoRR, April, 2026

Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal.

Sathvik Nair, Byung-Doh Oh

CoRR, January, 2026

2024

Generalizations across filler-gap dependencies in neural language models.

Katherine Howitt, Sathvik Nair, Allison Dods, Robert Melvin Hopkins

CoRR, 2024

A Psycholinguistic Evaluation of Language Models' Sensitivity to Argument Roles.

Eun-Kyoung Rosa Lee, Sathvik Nair, Naomi Feldman

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship?

Sathvik Nair, Philip Resnik

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2021

Evaluating Models of Robust Word Recognition with Serial Reproduction.

Stephan C. Meylan, Sathvik Nair, Thomas L. Griffiths

CoRR, 2021

2020

Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge.

Sathvik Nair, Mahesh Srinivasan, Stephan C. Meylan

CoRR, 2020