Kalpesh Krishna

Orcid: 0000-0001-6574-0817

According to our database1, Kalpesh Krishna authored at least 27 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
GEE! Grammar Error Explanation with Large Language Models.
CoRR, 2023

On the Risks of Stealing the Decoding Algorithms of Language Models.
CoRR, 2023

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Stealing the Decoding Algorithms of Language Models.
Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security, 2023

2022
Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

SLING: Sino Linguistic Evaluation of Large Language Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RankGen: Improving Text Generation with Large Ranking Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RELiC: Retrieving Evidence for Literary Claims.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages.
CoRR, 2021

An Analysis of Frame-skipping in Reinforcement Learning.
CoRR, 2021

Hurdles to Progress in Long-form Question Answering.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Do Long-Range Language Models Actually Use Long-Range Context?
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Weakly-Supervised Open-Retrieval Conversational Question Answering.
Proceedings of the Advances in Information Retrieval, 2021

Long Document Summarization in a Low Resource Setting using Pretrained Language Models.
Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020
SunPy: A Python package for Solar Physics.
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J. Open Source Softw., 2020

Thieves on Sesame Street! Model Extraction of BERT-based APIs.
Proceedings of the 8th International Conference on Learning Representations, 2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Trick or TReAT : Thematic Reinforcement for Artistic Typography.
Proceedings of the Tenth International Conference on Computational Creativity, 2019

Generating Question-Answer Hierarchies.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Syntactically Supervised Transformers for Faster Neural Machine Translation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Hierarchical Multitask Learning for CTC-based Speech Recognition.
CoRR, 2018

A Study of All-Convolutional Encoders for Connectionist Temporal Classification.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Revisiting the Importance of Encoding Logic Rules in Sentiment Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018


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