Sathvik Nair

5 papers · 2020–2026 · 4 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (12) ❓ The Questioner

Venues

EMNLP (2) ACL (1) COLING (1) CoNLL (1)

Top co-authors

Katherine Howitt (1) Naomi Feldman (1) Byung-Doh Oh (1) Robert Melvin Hopkins (1) Allison Dods (1) Mahesh Srinivasan (1) Philip Resnik (1) Stephan Meylan (1) Eun-Kyoung Rosa Lee (1)

Research topics

Natural Language Processing (4) Resources & Methods (3) Artificial Intelligence (2) Interdisciplinary (2) Cognitive Science (2) Understanding (2) Deep Learning (1) Machine Learning (1) Architectures (1) Core AI (1) Core Methods (1) Generation (1) Learning Paradigms (1) Linguistics (1)

Keywords

language model (2) subword tokenization (1) morphological analysis (1) syntactic learning (1) bert embedding (1) neural language model (1) contextualized word embedding (1) word frequency (1) surprisal estimation (1) reading time (1) cloze task (1) filler-gap dependency (1) language comprehension (1) large language model (1) grammar acquisition (1) bpe tokenization (1) homonymy detection (1) polysemy detection (1) structural generalization (1) reading time prediction (1)

Papers

Clozing the Gap: Exploring Why Language Model Surprisal Outperforms Cloze Surprisal ACL 2026 A Psycholinguistic Evaluation of Language Models’ Sensitivity to Argument Roles EMNLP 2024 Generalizations across filler-gap dependencies in neural language models CoNLL 2024 Words, Subwords, and Morphemes: What Really Matters in the Surprisal-Reading Time Relationship? EMNLP 2023 Contextualized Word Embeddings Encode Aspects of Human-Like Word Sense Knowledge COLING 2020