| 2026 | ACL | Bears, all bears, and some bears. Language Constraints on Language Models' Inductive Inferences. | Sriram Padmanabhan, Siyuan Song, Kanishka Misra |
| 2026 | ACL | Cross-Modal Taxonomic Generalization in (Vision-) Language Models. | Tianyang Xu, Marcelo Sandoval-Castaeda, Karen Livescu, Greg Shakhnarovich, Kanishka Misra |
| 2026 | CoNLL | Language Models Learn Constructional Semantics, Not To Mention Syntax: Investigating LM Understanding of Paired-Focus Constructions. | Wesley Scivetti, Ethan Gotlieb Wilcox, Nathan Schneider, Kanishka Misra, Leonie Weissweiler |
| 2026 | EACL | Wugnectives: Novel Entity Inferences of Language Models from Discourse Connectives. | Daniel Brubaker, William Sheffield, Junyi Jessy Li, Kanishka Misra |
| 2026 | EACL | Hey, wait a minute: on at-issue sensitivity in Language Models. | Sanghee J. Kim, Kanishka Misra |
| 2025 | ACL | Is It JUST Semantics? A Case Study of Discourse Particle Understanding in LLMs. | William Berkeley Sheffield, Kanishka Misra, Valentina Pyatkin, Ashwini Deo, Kyle Mahowald, Junyi Jessy Li |
| 2025 | NAACL | Characterizing the Role of Similarity in the Property Inferences of Language Models. | Juan Diego Rodriguez, Aaron Mueller, Kanishka Misra |
| 2024 | EMNLP | Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. | Kanishka Misra, Allyson Ettinger, Kyle Mahowald |
| 2024 | EMNLP | Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs. | Kanishka Misra, Kyle Mahowald |
| 2023 | ACL | Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks. | Kanishka Misra, Ccero Nogueira dos Santos, Siamak Shakeri |
| 2023 | ACL | Language model acceptability judgements are not always robust to context. | Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams |
| 2023 | EACL | COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. | Kanishka Misra, Julia Rayz, Allyson Ettinger |
| 2023 | ICML | Large Language Models Can Be Easily Distracted by Irrelevant Context. | Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schrli, Denny Zhou |
| 2022 | AAAI | On Semantic Cognition, Inductive Generalization, and Language Models. | Kanishka Misra |
| 2022 | CogSci | A Property Induction Framework for Neural Language Models. | Kanishka Misra, Julia Rayz, Allyson Ettinger |
| 2021 | CogSci | Do language models learn typicality judgments from text? | Kanishka Misra, Allyson Ettinger, Julia Rayz |
| 2020 | CogSci | Exploring Lexical Relations in BERT using Semantic Priming. | Kanishka Misra, Allyson Ettinger, Julia Rayz |
| 2020 | EMNLP | Exploring BERT's sensitivity to lexical cues using tests from semantic priming. | Kanishka Misra, Allyson Ettinger, Julia Rayz |
| 2019 | CogSci | L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. | Kanishka Misra, Hemanth Devarapalli, Julia Rayz |
| 2019 | SMC | Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks. | Kanishka Misra, Hemanth Devarapalli, Tatiana R. Ringenberg, Julia Taylor Rayz |
| 2019 | SMC | Not So Cute but Fuzzy: Estimating Risk of Sexual Predation in Online Conversations. | Tatiana R. Ringenberg, Kanishka Misra, Julia Taylor Rayz |
| 2019 | SMC | A Sentiment Based Non-Factoid Question-Answering Framework. | Qiaofei Ye, Kanishka Misra, Hemanth Devarapalli, Julia Taylor Rayz |