Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. - Kalpesh Krishna; Preethi Jyothi; Mohit Iyyer (EMNLP, 2018)

A Study of All-Convolutional Encoders for Connectionist Temporal Classification. - Kalpesh Krishna; Liang Lu 001; Kevin Gimpel; Karen Livescu (ICASSP, 2018)

Hierarchical Multitask Learning for CTC-based Speech Recognition. - Kalpesh Krishna; Shubham Toshniwal; Karen Livescu (CoRR, 2018)

Syntactically Supervised Transformers for Faster Neural Machine Translation. - Nader Akoury; Kalpesh Krishna; Mohit Iyyer (ACL (1), 2019)

Generating Question-Answer Hierarchies. - Kalpesh Krishna; Mohit Iyyer (ACL (1), 2019)

Trick or TReAT : Thematic Reinforcement for Artistic Typography. - Purva Tendulkar; Kalpesh Krishna; Ramprasaath R. Selvaraju; Devi Parikh (ICCC, 2019)

Reformulating Unsupervised Style Transfer as Paraphrase Generation. - Kalpesh Krishna; John Wieting; Mohit Iyyer (EMNLP (1), 2020)

Thieves on Sesame Street! Model Extraction of BERT-based APIs. - Kalpesh Krishna; Gaurav Singh Tomar; Ankur P. Parikh; Nicolas Papernot; Mohit Iyyer (ICLR, 2020)

SunPy: A Python package for Solar Physics. - Stuart Mumford; Nabil Freij; Steven Christe; Jack Ireland; Florian Mayer; V. Keith Hughitt; Albert J. Shih; Daniel Ryan; Simon Liedtke; David Pérez-Suárez; Pritish Chakraborty; Vishnunarayan K; et al. (J. Open Source Softw., 2020)

Long Document Summarization in a Low Resource Setting using Pretrained Language Models. - Ahsaas Bajaj; Pavitra Dangati; Kalpesh Krishna; Pradhiksha Ashok Kumar; Rheeya Uppaal; Bradford Windsor; Eliot Brenner; Dominic Dotterrer; Rajarshi Das; Andrew McCallum (ACL (student), 2021)

Weakly-Supervised Open-Retrieval Conversational Question Answering. - Chen Qu 001; Liu Yang 005; Cen Chen 001; W. Bruce Croft; Kalpesh Krishna; Mohit Iyyer (ECIR (1), 2021)

Do Long-Range Language Models Actually Use Long-Range Context? - Simeng Sun; Kalpesh Krishna; Andrew Mattarella-Micke; Mohit Iyyer (EMNLP (1), 2021)

Hurdles to Progress in Long-form Question Answering. - Kalpesh Krishna; Aurko Roy; Mohit Iyyer (NAACL-HLT, 2021)

An Analysis of Frame-skipping in Reinforcement Learning. - Shivaram Kalyanakrishnan; Siddharth Aravindan; Vishwajeet Bagdawat; Varun Bhatt; Harshith Goka; Archit Gupta; Kalpesh Krishna; Vihari Piratla (CoRR, 2021)

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (CoRR, 2021)

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. - Kaustubh D. Dhole; Varun Gangal; Sebastian Gehrmann; Aadesh Gupta; Zhenhao Li; Saad Mahamood; Abinaya Mahendiran; Simon Mille; Ashish Srivastava; Samson Tan; Tongshuang Wu; Jascha Sohl-Dickstein; et al. (CoRR, 2021)

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings. - Kalpesh Krishna; Deepak Nathani; Xavier Garcia; Bidisha Samanta; Partha Talukdar (ACL (1), 2022)

RELiC: Retrieving Evidence for Literary Claims. - Katherine Thai; Yapei Chang; Kalpesh Krishna; Mohit Iyyer (ACL (1), 2022)

RankGen: Improving Text Generation with Large Ranking Models. - Kalpesh Krishna; Yapei Chang; John Wieting; Mohit Iyyer (EMNLP, 2022)

SLING: Sino Linguistic Evaluation of Large Language Models. - Yixiao Song; Kalpesh Krishna; Rajesh Bhatt; Mohit Iyyer (EMNLP, 2022)

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. - Katherine Thai; Marzena Karpinska; Kalpesh Krishna; Bill Ray; Moira Inghilleri; John Wieting; Mohit Iyyer (EMNLP, 2022)

Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CCS, 2023)

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. - Ankita Gupta; Marzena Karpinska; Wenlong Zhao 001; Kalpesh Krishna; Jack Merullo; Luke Yeh; Mohit Iyyer; Brendan O'Connor 001 (EACL (Findings), 2023)

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. - Kalpesh Krishna; Erin Bransom; Bailey Kuehl; Mohit Iyyer; Pradeep Dasigi; Arman Cohan; Kyle Lo (EACL, 2023)

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. - Sewon Min; Kalpesh Krishna; Xinxi Lyu; Mike Lewis; Wen-tau Yih; Pang Wei Koh; Mohit Iyyer; Luke Zettlemoyer; Hannaneh Hajishirzi (EMNLP, 2023)

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. - Kalpesh Krishna; Yixiao Song; Marzena Karpinska; John Wieting; Mohit Iyyer (NeurIPS, 2023)

On the Risks of Stealing the Decoding Algorithms of Language Models. - Ali Naseh; Kalpesh Krishna; Mohit Iyyer; Amir Houmansadr (CoRR, 2023)

PostMark: A Robust Blackbox Watermark for Large Language Models. - Yapei Chang; Kalpesh Krishna; Amir Houmansadr; John Wieting; Mohit Iyyer (EMNLP, 2024)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. - Tu Vu; Kalpesh Krishna; Salaheddin Alzubi; Chris Tar; Manaal Faruqui; Yun-Hsuan Sung (EMNLP, 2024)

GEE! Grammar Error Explanation with Large Language Models. - Yixiao Song; Kalpesh Krishna; Rajesh Bhatt; Kevin Gimpel; Mohit Iyyer (NAACL-HLT (Findings), 2024)

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. - Satyapriya Krishna; Kalpesh Krishna; Anhad Mohananey; Steven Schwarcz; Adam Stambler; Shyam Upadhyay; Manaal Faruqui (NAACL (Long Papers), 2025)