Channel Pass-Through of Trade Promotions. - Vincent R. Nijs; Kanishka Misra; Eric T. Anderson; Karsten Hansen; Lakshman Krishnamurthi (Mark. Sci., 2010)

Outsourcing Retail Pricing to a Category Captain: The Role of Information Firewalls. - Vincent R. Nijs; Kanishka Misra; Karsten Hansen (Mark. Sci., 2014)

Robust New Product Pricing. - Benjamin R. Handel; Kanishka Misra (Mark. Sci., 2015)

Will a Fat Tax Work? - Romana Khan; Kanishka Misra; Vishal Singh (Mark. Sci., 2016)

Fee or Free: When Should Firms Charge for Online Content? - Anja Lambrecht; Kanishka Misra (Manag. Sci., 2017)

L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. - Kanishka Misra; Hemanth Devarapalli; Julia Rayz (CogSci, 2019)

Exploring Automatic Identification of Fantasy-Driven and Contact-Driven Sexual Solicitors. - Tatiana R. Ringenberg; Kanishka Misra; Kathryn C. Seigfried-Spellar; Julia Taylor Rayz (IRC, 2019)

Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks. - Kanishka Misra; Hemanth Devarapalli; Tatiana R. Ringenberg; Julia Taylor Rayz (SMC, 2019)

Not So Cute but Fuzzy: Estimating Risk of Sexual Predation in Online Conversations. - Tatiana R. Ringenberg; Kanishka Misra; Julia Taylor Rayz (SMC, 2019)

A Sentiment Based Non-Factoid Question-Answering Framework. - Qiaofei Ye; Kanishka Misra; Hemanth Devarapalli; Julia Taylor Rayz (SMC, 2019)

Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments. - Kanishka Misra; Eric M. Schwartz; Jacob D. Abernethy (Mark. Sci., 2019)

Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. - Qingyuan Hu; Yi Zhang 135; Kanishka Misra; Julia Taylor Rayz (IEEE ICCI*CC, 2020)

Exploring Lexical Relations in BERT using Semantic Priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2020)

Exploring BERT's sensitivity to lexical cues using tests from semantic priming. - Kanishka Misra; Allyson Ettinger; Julia Rayz (EMNLP (Findings), 2020)

An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT. - Kanishka Misra; Julia Taylor Rayz (NAFIPS, 2020)

Heterogeneous Price Effects of Consolidation: Evidence from the Car Rental Industry. - Ali Umut Guler; Kanishka Misra; Vishal Singh (Mark. Sci., 2020)

Do language models learn typicality judgments from text? - Kanishka Misra; Allyson Ettinger; Julia Rayz (CogSci, 2021)

Finding Fuzziness in Neural Network Models of Language Processing. - Kanishka Misra; Julia Taylor Rayz (NAFIPS, 2021)

Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms. - Karsten Hansen; Kanishka Misra; Mallesh M. Pai (Mark. Sci., 2021)

On Semantic Cognition, Inductive Generalization, and Language Models. - Kanishka Misra (AAAI, 2022)

A Property Induction Framework for Neural Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (CogSci, 2022)

LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails. - Kanishka Misra; Julia Taylor Rayz (WI/IAT, 2022)

minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models. - Kanishka Misra (CoRR, 2022)

COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Taylor Rayz; Allyson Ettinger (CoRR, 2022)

Frontiers: Impact of Stay-at-Home-Orders and Cost-of-Living on Stimulus Response: Evidence from the CARES Act. - Kanishka Misra; Vishal Singh; Qianyun (Poppy) Zhang (Mark. Sci., 2022)

Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks. - Kanishka Misra; Cícero Nogueira dos Santos; Siamak Shakeri (ACL (Findings), 2023)

Language model acceptability judgements are not always robust to context. - Koustuv Sinha; Jon Gauthier; Aaron Mueller; Kanishka Misra; Keren Fuentes; Roger Levy; Adina Williams (ACL (1), 2023)

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. - Kanishka Misra; Julia Rayz; Allyson Ettinger (EACL, 2023)

Large Language Models Can Be Easily Distracted by Irrelevant Context. - Freda Shi; Xinyun Chen; Kanishka Misra; Nathan Scales; David Dohan; Ed H. Chi; Nathanael Schärli; Denny Zhou (ICML, 2023)

Abstraction via exemplars? A representational case study on lexical category inference in BERT. - Kanishka Misra; Najoung Kim (CoRR, 2023)

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. - Kanishka Misra; Allyson Ettinger; Kyle Mahowald (EMNLP, 2024)

Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs. - Kanishka Misra; Kyle Mahowald (EMNLP, 2024)

Generating novel experimental hypotheses from language models: A case study on cross-dative generalization. - Kanishka Misra; Najoung Kim (CoRR, 2024)

Local Market Reaction to Brand Acquisitions: Evidence from the Craft Beer Industry. - Ali Umut Guler; Kanishka Misra; Vishal Singh (Mark. Sci., 2024)

Uninformed Choices in Perishables. - Karsten Hansen; Kanishka Misra; Robert Evan Sanders (Mark. Sci., 2024)

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 (ACL (Findings), 2025)

Characterizing the Role of Similarity in the Property Inferences of Language Models. - Juan Diego Rodriguez; Aaron Mueller; Kanishka Misra (NAACL (Long Papers), 2025)

Both Direct and Indirect Evidence Contribute to Dative Alternation Preferences in Language Models. - Qing Yao; Kanishka Misra; Leonie Weissweiler; Kyle Mahowald (CoRR, 2025)

On Language Models' Sensitivity to Suspicious Coincidences. - Sriram Padmanabhan; Kanishka Misra; Kyle Mahowald; Eunsol Choi (CoRR, 2025)

semantic-features: A User-Friendly Tool for Studying Contextual Word Embeddings in Interpretable Semantic Spaces. - Jwalanthi Ranganathan; Rohan Jha; Kanishka Misra; Kyle Mahowald (CoRR, 2025)

Vision-and-Language Training Helps Deploy Taxonomic Knowledge but Does Not Fundamentally Alter It. - Yulu Qin; Dheeraj Varghese; Adam Dahlgren Lindström; Lucia Donatelli; Kanishka Misra; Najoung Kim (CoRR, 2025)