Kalpesh Krishna

1.6k total citations
17 papers, 200 citations indexed

About

Kalpesh Krishna is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Plant Science. According to data from OpenAlex, Kalpesh Krishna has authored 17 papers receiving a total of 200 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Plant Science. Recurrent topics in Kalpesh Krishna's work include Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Kalpesh Krishna is often cited by papers focused on Topic Modeling (15 papers), Natural Language Processing Techniques (12 papers) and Multimodal Machine Learning Applications (3 papers). Kalpesh Krishna collaborates with scholars based in United States, India and Canada. Kalpesh Krishna's co-authors include Mohit Iyyer, Sewon Min, Hannaneh Hajishirzi, Xinxi Lyu, Luke Zettlemoyer, Mike Lewis, Wen-tau Yih, Pang Wei Koh, John Wieting and Simeng Sun and has published in prestigious journals such as Indian Journal of Entomology, arXiv (Cornell University) and Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

In The Last Decade

Kalpesh Krishna

17 papers receiving 192 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Kalpesh Krishna United States	8	155	24	22	12	11	17	200
Shehzaad Dhuliawala United States	6	155 1.0×	28 1.2×	24 1.1×	9 0.8×	9 0.8×	14	192
Xiangru Tang United States	7	234 1.5×	31 1.3×	18 0.8×	16 1.3×	32 2.9×	22	317
Khalid Almubarak Saudi Arabia	4	183 1.2×	31 1.3×	13 0.6×	11 0.9×	4 0.4×	9	217
Nikita Nangia United States	5	268 1.7×	73 3.0×	23 1.0×	12 1.0×	9 0.8×	10	293
Guanghui Qin United States	6	223 1.4×	63 2.6×	28 1.3×	5 0.4×	8 0.7×	10	254
Ales Kubicek Switzerland	1	102 0.7×	25 1.0×	19 0.9×	10 0.8×	5 0.5×	2	161
Piotr Nyczyk Switzerland	1	102 0.7×	25 1.0×	19 0.9×	10 0.8×	5 0.5×	2	161
Zheng Yong United States	6	227 1.5×	39 1.6×	17 0.8×	13 1.1×	2 0.2×	11	264
Iulia Turc United States	4	139 0.9×	35 1.5×	21 1.0×	3 0.3×	9 0.8×	5	158
Naveen Arivazhagan United States	3	214 1.4×	55 2.3×	28 1.3×	3 0.3×	9 0.8×	4	249

Countries citing papers authored by Kalpesh Krishna

Since Specialization

Citations

This map shows the geographic impact of Kalpesh Krishna's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kalpesh Krishna with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kalpesh Krishna more than expected).

Fields of papers citing papers by Kalpesh Krishna

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kalpesh Krishna. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kalpesh Krishna. The network helps show where Kalpesh Krishna may publish in the future.

Co-authorship network of co-authors of Kalpesh Krishna

This figure shows the co-authorship network connecting the top 25 collaborators of Kalpesh Krishna. A scholar is included among the top collaborators of Kalpesh Krishna based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kalpesh Krishna. Kalpesh Krishna is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

17 of 17 papers shown

Krishna, Kalpesh, et al.. (2025). Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation. 4745–4759. 2 indexed citations

Vu, Tu, et al.. (2024). Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. 17086–17105. 6 indexed citations

Krishna, Kalpesh, et al.. (2024). PostMark: A Robust Blackbox Watermark for Large Language Models. 8969–8987. 2 indexed citations

Song, Yixiao, Kalpesh Krishna, Rajesh Bhatt, Kevin Gimpel, & Mohit Iyyer. (2024). GEE! Grammar Error Explanation with Large Language Models. 754–781. 1 indexed citations

Min, Sewon, Kalpesh Krishna, Xinxi Lyu, et al.. (2023). FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation. 12076–12100. 80 indexed citations

Gupta, Ankita, et al.. (2023). ezCoref: Towards Unifying Annotation Guidelines for Coreference Resolution. 312–330. 1 indexed citations

Krishna, Kalpesh, Bailey Kuehl, Mohit Iyyer, et al.. (2023). LongEval: Guidelines for Human Evaluation of Faithfulness in Long-form Summarization. 1650–1669. 16 indexed citations

Saikumar, Niranjan, et al.. (2023). Artificial Intelligence for Classification and Detection of Major Insect Pests of Brinjal. Indian Journal of Entomology. 563–566. 4 indexed citations

Naseh, Ali, Kalpesh Krishna, Mohit Iyyer, & Amir Houmansadr. (2023). Stealing the Decoding Algorithms of Language Models. 1835–1849. 10 indexed citations

10.

Krishna, Kalpesh, et al.. (2022). RankGen: Improving Text Generation with Large Ranking Models. 199–232. 18 indexed citations

11.

Krishna, Kalpesh, et al.. (2022). Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature. 9882–9902. 15 indexed citations

12.

Song, Yixiao, Kalpesh Krishna, Rajesh Bhatt, & Mohit Iyyer. (2022). SLING: Sino Linguistic Evaluation of Large Language Models. 4606–4634. 1 indexed citations

13.

Krishna, Kalpesh, et al.. (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). 7439–7468. 8 indexed citations

14.

Krishna, Kalpesh, et al.. (2022). RELiC: Retrieving Evidence for Literary Claims. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 7500–7518. 6 indexed citations

15.

Sun, Simeng, Kalpesh Krishna, Andrew Mattarella-Micke, & Mohit Iyyer. (2021). Do Long-Range Language Models Actually Use Long-Range Context?. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 807–822. 19 indexed citations

16.

Krishna, Kalpesh, Gaurav Singh Tomar, Ankur P. Parikh, Nicolas Papernot, & Mohit Iyyer. (2020). Thieves of Sesame Street: Model Extraction on BERT-based APIs. arXiv (Cornell University). 9 indexed citations

17.

Krishna, Kalpesh, Preethi Jyothi, & Mohit Iyyer. (2018). Revisiting the Importance of Encoding Logic Rules in Sentiment Classification. 4743–4751. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore authors with similar magnitude of impact