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ORCIDKanishka Misra
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2020 – today
- 2024
[j11]Karsten Hansen, Kanishka Misra
, Robert Evan Sanders:
Uninformed Choices in Perishables. Mark. Sci. 43(4): 751-777 (2024)- [j10]Ali Umut Guler, Kanishka Misra, Vishal Singh:
Local Market Reaction to Brand Acquisitions: Evidence from the Craft Beer Industry. Mark. Sci. 43(5): 1102-1131 (2024) - [i15]Kanishka Misra, Allyson Ettinger, Kyle Mahowald:
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently. CoRR abs/2401.06640 (2024) - [i14]Kanishka Misra, Kyle Mahowald:
Language Models Learn Rare Phenomena from Less Rare Phenomena: The Case of the Missing AANNs. CoRR abs/2403.19827 (2024) - [i13]Kanishka Misra, Najoung Kim:
Generating novel experimental hypotheses from language models: A case study on cross-dative generalization. CoRR abs/2408.05086 (2024) - 2023
- [c18]Kanishka Misra, Cícero Nogueira dos Santos, Siamak Shakeri:
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks. ACL (Findings) 2023: 972-985 - [c17]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. ACL (1) 2023: 6043-6063 - [c16]Kanishka Misra, Julia Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models. EACL 2023: 2920-2941 - [c15]Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. ICML 2023: 31210-31227 - [i12]Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou:
Large Language Models Can Be Easily Distracted by Irrelevant Context. CoRR abs/2302.00093 (2023) - [i11]Kanishka Misra, Cícero Nogueira dos Santos, Siamak Shakeri:
Triggering Multi-Hop Reasoning for Question Answering in Language Models using Soft Prompts and Random Walks. CoRR abs/2306.04009 (2023) - [i10]Kanishka Misra, Najoung Kim:
Abstraction via exemplars? A representational case study on lexical category inference in BERT. CoRR abs/2312.03708 (2023) - 2022
- [j9]Kanishka Misra, Vishal Singh, Qianyun (Poppy) Zhang:
Frontiers: Impact of Stay-at-Home-Orders and Cost-of-Living on Stimulus Response: Evidence from the CARES Act. Mark. Sci. 41(2): 211-229 (2022) - [c14]Kanishka Misra:
On Semantic Cognition, Inductive Generalization, and Language Models. AAAI 2022: 12894-12895 - [c13]Kanishka Misra, Julia Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CogSci 2022 - [c12]Kanishka Misra, Julia Taylor Rayz:
LMs go Phishing: Adapting Pre-trained Language Models to Detect Phishing Emails. WI/IAT 2022: 135-142 - [i9]Kanishka Misra:
minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models. CoRR abs/2203.13112 (2022) - [i8]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
A Property Induction Framework for Neural Language Models. CoRR abs/2205.06910 (2022) - [i7]Kanishka Misra, Julia Taylor Rayz, Allyson Ettinger:
COMPS: Conceptual Minimal Pair Sentences for testing Property Knowledge and Inheritance in Pre-trained Language Models. CoRR abs/2210.01963 (2022) - [i6]Koustuv Sinha, Jon Gauthier, Aaron Mueller, Kanishka Misra, Keren Fuentes, Roger Levy, Adina Williams:
Language model acceptability judgements are not always robust to context. CoRR abs/2212.08979 (2022) - 2021
- [j8]Karsten Hansen, Kanishka Misra, Mallesh M. Pai:
Frontiers: Algorithmic Collusion: Supra-competitive Prices via Independent Algorithms. Mark. Sci. 40(1): 1-12 (2021) - [c11]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Do language models learn typicality judgments from text? CogSci 2021 - [c10]Kanishka Misra, Julia Taylor Rayz:
Finding Fuzziness in Neural Network Models of Language Processing. NAFIPS 2021: 278-290 - [i5]Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Rayz:
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. CoRR abs/2101.07397 (2021) - [i4]Kanishka Misra, Julia Taylor Rayz:
Finding Fuzziness in Neural Network Models of Language Processing. CoRR abs/2104.10813 (2021) - [i3]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Do language models learn typicality judgments from text? CoRR abs/2105.02987 (2021) - [i2]Kanishka Misra:
On Semantic Cognition, Inductive Generalization, and Language Models. CoRR abs/2111.02603 (2021) - 2020
- [j7]Ali Umut Guler, Kanishka Misra, Vishal Singh:
Heterogeneous Price Effects of Consolidation: Evidence from the Car Rental Industry. Mark. Sci. 39(1): 52-70 (2020) - [c9]Qingyuan Hu, Yi Zhang, Kanishka Misra, Julia Taylor Rayz:
Exploring Lexical Irregularities in Hypothesis-Only Models of Natural Language Inference. IEEE ICCI*CC 2020: 125-130 - [c8]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring Lexical Relations in BERT using Semantic Priming. CogSci 2020 - [c7]Kanishka Misra, Allyson Ettinger, Julia Rayz:
Exploring BERT's sensitivity to lexical cues using tests from semantic priming. EMNLP (Findings) 2020: 4625-4635 - [c6]Kanishka Misra, Julia Taylor Rayz:
An Approximate Perspective on Word Prediction in Context: Ontological Semantics Meets BERT. NAFIPS 2020: 157-169 - [i1]Kanishka Misra, Allyson Ettinger, Julia Taylor Rayz:
Exploring BERT's Sensitivity to Lexical Cues using Tests from Semantic Priming. CoRR abs/2010.03010 (2020)
2010 – 2019
- 2019
- [j6]Kanishka Misra, Eric M. Schwartz, Jacob D. Abernethy:
Dynamic Online Pricing with Incomplete Information Using Multiarmed Bandit Experiments. Mark. Sci. 38(2): 226-252 (2019) - [c5]Kanishka Misra, Hemanth Devarapalli, Julia Rayz:
L1 Influence on Content Word errors in Learner English Corpora: Insights from Distributed Representation of Words. CogSci 2019: 3318 - [c4]Tatiana R. Ringenberg, Kanishka Misra, Kathryn C. Seigfried-Spellar, Julia Taylor Rayz:
Exploring Automatic Identification of Fantasy-Driven and Contact-Driven Sexual Solicitors. IRC 2019: 532-537 - [c3]Qiaofei Ye, Kanishka Misra, Hemanth Devarapalli, Julia Taylor Rayz:
A Sentiment Based Non-Factoid Question-Answering Framework. SMC 2019: 372-377 - [c2]Kanishka Misra, Hemanth Devarapalli, Tatiana R. Ringenberg, Julia Taylor Rayz:
Authorship Analysis of Online Predatory Conversations using Character Level Convolution Neural Networks. SMC 2019: 623-628 - [c1]Tatiana R. Ringenberg, Kanishka Misra, Julia Taylor Rayz:
Not So Cute but Fuzzy: Estimating Risk of Sexual Predation in Online Conversations. SMC 2019: 2946-2951 - 2017
- [j5]Anja Lambrecht, Kanishka Misra:
Fee or Free: When Should Firms Charge for Online Content? Manag. Sci. 63(4): 1150-1165 (2017) - 2016
- [j4]Romana Khan, Kanishka Misra, Vishal Singh:
Will a Fat Tax Work? Mark. Sci. 35(1): 10-26 (2016) - 2015
- [j3]Benjamin R. Handel, Kanishka Misra:
Robust New Product Pricing. Mark. Sci. 34(6): 864-881 (2015) - 2014
- [j2]Vincent R. Nijs, Kanishka Misra, Karsten Hansen:
Outsourcing Retail Pricing to a Category Captain: The Role of Information Firewalls. Mark. Sci. 33(1): 66-81 (2014) - 2010
- [j1]Vincent R. Nijs, Kanishka Misra, Eric T. Anderson, Karsten Hansen, Lakshman Krishnamurthi:
Channel Pass-Through of Trade Promotions. Mark. Sci. 29(2): 250-267 (2010)
Coauthor Index
aka: Julia Rayz
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