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Kalpesh Krishna
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2020 – today
- 2024
- [c24]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. EMNLP 2024: 8969-8987 - [c23]Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung:
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. EMNLP 2024: 17086-17105 - [c22]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. NAACL-HLT (Findings) 2024: 754-781 - [i28]Yapei Chang, Kalpesh Krishna, Amir Houmansadr, John Wieting, Mohit Iyyer:
PostMark: A Robust Blackbox Watermark for Large Language Models. CoRR abs/2406.14517 (2024) - [i27]Tu Vu, Kalpesh Krishna, Salaheddin Alzubi, Chris Tar, Manaal Faruqui, Yun-Hsuan Sung:
Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. CoRR abs/2407.10817 (2024) - [i26]Satyapriya Krishna, Kalpesh Krishna, Anhad Mohananey, Steven Schwarcz, Adam Stambler, Shyam Upadhyay, Manaal Faruqui:
Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. CoRR abs/2409.12941 (2024) - 2023
- [c21]Ali Naseh
, Kalpesh Krishna
Stealing the Decoding Algorithms of Language Models. CCS 2023: 1835-1849 - [c20]Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan O'Connor:
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. EACL (Findings) 2023: 312-330 - [c19]Kalpesh Krishna, Erin Bransom, Bailey Kuehl, Mohit Iyyer, Pradeep Dasigi, Arman Cohan, Kyle Lo:
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. EACL 2023: 1642-1661 - [c18]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. EMNLP 2023: 12076-12100 - [c17]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. NeurIPS 2023 - [i25]Kalpesh Krishna, Erin Bransom
LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. CoRR abs/2301.13298 (2023) - [i24]Ali Naseh, Kalpesh Krishna, Mohit Iyyer, Amir Houmansadr:
On the Risks of Stealing the Decoding Algorithms of Language Models. CoRR abs/2303.04729 (2023) - [i23]Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer:
Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense. CoRR abs/2303.13408 (2023) - [i22]Sewon Min, Kalpesh Krishna, Xinxi Lyu, Mike Lewis, Wen-tau Yih, Pang Wei Koh, Mohit Iyyer, Luke Zettlemoyer, Hannaneh Hajishirzi:
FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. CoRR abs/2305.14251 (2023) - [i21]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, Mohit Iyyer:
GEE! Grammar Error Explanation with Large Language Models. CoRR abs/2311.09517 (2023) - 2022
- [c16]Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar:
Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings. ACL (1) 2022: 7439-7468 - [c15]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELiC: Retrieving Evidence for Literary Claims. ACL (1) 2022: 7500-7518 - [c14]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. EMNLP 2022: 199-232 - [c13]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer:
SLING: Sino Linguistic Evaluation of Large Language Models. EMNLP 2022: 4606-4634 - [c12]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. EMNLP 2022: 9882-9902 - [i20]Katherine Thai, Yapei Chang, Kalpesh Krishna, Mohit Iyyer:
RELIC: Retrieving Evidence for Literary Claims. CoRR abs/2203.10053 (2022) - [i19]Kalpesh Krishna, Yapei Chang, John Wieting, Mohit Iyyer:
RankGen: Improving Text Generation with Large Ranking Models. CoRR abs/2205.09726 (2022) - [i18]Ankita Gupta, Marzena Karpinska, Wenlong Zhao, Kalpesh Krishna, Jack Merullo, Luke Yeh, Mohit Iyyer, Brendan T. O'Connor:
ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. CoRR abs/2210.07188 (2022) - [i17]Yixiao Song, Kalpesh Krishna, Rajesh Bhatt, Mohit Iyyer:
SLING: Sino Linguistic Evaluation of Large Language Models. CoRR abs/2210.11689 (2022) - [i16]Katherine Thai, Marzena Karpinska, Kalpesh Krishna, Bill Ray, Moira Inghilleri, John Wieting, Mohit Iyyer:
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. CoRR abs/2210.14250 (2022) - 2021
- [c11]Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum:
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) 2021: 71-80 - [c10]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. ECIR (1) 2021: 529-543 - [c9]Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? EMNLP (1) 2021: 807-822 - [c8]Kalpesh Krishna, Aurko Roy, Mohit Iyyer:
Hurdles to Progress in Long-form Question Answering. NAACL-HLT 2021: 4940-4957 - [i15]Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla:
An Analysis of Frame-skipping in Reinforcement Learning. CoRR abs/2102.03718 (2021) - [i14]Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum:
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR abs/2103.00751 (2021) - [i13]Chen Qu, Liu Yang, Cen Chen, W. Bruce Croft, Kalpesh Krishna, Mohit Iyyer:
Weakly-Supervised Open-Retrieval Conversational Question Answering. CoRR abs/2103.02537 (2021) - [i12]Kalpesh Krishna, Aurko Roy, Mohit Iyyer:
Hurdles to Progress in Long-form Question Answering. CoRR abs/2103.06332 (2021) - [i11]Simeng Sun, Kalpesh Krishna, Andrew Mattarella-Micke, Mohit Iyyer:
Do Long-Range Language Models Actually Use Long-Range Context? CoRR abs/2109.09115 (2021) - [i10]Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar:
Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages. CoRR abs/2110.07385 (2021) - [i9]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, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation. CoRR abs/2112.02721 (2021) - 2020
- [j1]Stuart Mumford
SunPy: A Python package for Solar Physics. J. Open Source Softw. 5(46): 1832 (2020) - [c7]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. EMNLP (1) 2020: 737-762 - [c6]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. ICLR 2020 - [i8]Kalpesh Krishna, John Wieting, Mohit Iyyer:
Reformulating Unsupervised Style Transfer as Paraphrase Generation. CoRR abs/2010.05700 (2020)
2010 – 2019
- 2019
- [c5]Nader Akoury, Kalpesh Krishna, Mohit Iyyer:
Syntactically Supervised Transformers for Faster Neural Machine Translation. ACL (1) 2019: 1269-1281 - [c4]Kalpesh Krishna, Mohit Iyyer:
Generating Question-Answer Hierarchies. ACL (1) 2019: 2321-2334 - [c3]Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh:
Trick or TReAT : Thematic Reinforcement for Artistic Typography. ICCC 2019: 188-195 - [i7]Purva Tendulkar, Kalpesh Krishna, Ramprasaath R. Selvaraju, Devi Parikh:
Trick or TReAT: Thematic Reinforcement for Artistic Typography. CoRR abs/1903.07820 (2019) - [i6]Kalpesh Krishna, Mohit Iyyer:
Generating Question-Answer Hierarchies. CoRR abs/1906.02622 (2019) - [i5]Nader Akoury, Kalpesh Krishna, Mohit Iyyer:
Syntactically Supervised Transformers for Faster Neural Machine Translation. CoRR abs/1906.02780 (2019) - [i4]Kalpesh Krishna, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, Mohit Iyyer:
Thieves on Sesame Street! Model Extraction of BERT-based APIs. CoRR abs/1910.12366 (2019) - 2018
- [c2]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. EMNLP 2018: 4743-4751 - [c1]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. ICASSP 2018: 5814-5818 - [i3]Kalpesh Krishna, Shubham Toshniwal, Karen Livescu:
Hierarchical Multitask Learning for CTC-based Speech Recognition. CoRR abs/1807.06234 (2018) - [i2]Kalpesh Krishna, Preethi Jyothi, Mohit Iyyer:
Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. CoRR abs/1808.07733 (2018) - 2017
- [i1]Kalpesh Krishna, Liang Lu, Kevin Gimpel, Karen Livescu:
A Study of All-Convolutional Encoders for Connectionist Temporal Classification. CoRR abs/1710.10398 (2017)
Coauthor Index
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last updated on 2024-11-15 19:35 CET by the dblp team
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