🧑‍🔬 Parminder Bhatia

🏛️ Affiliations

🎓Bellevue CollegeBellevue · United States2026 · 1 papercurrent🏢General ElectricMadrid · Spain2026 · 1 papercurrent🏢AmazonSeattle · United States2015–2025 · 35 papers🎓University of North Carolina at Chapel HillChapel Hill · United States2023 · 2 papers🎓University of Central FloridaOrlando · United States2019 · 2 papers🎓Georgia Institute of TechnologyAtlanta · United States2015 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📅 Works by year

2020s

2010s

📄 Papers

The most cited first (OpenAlex and our library).

1. Better Document-level Sentiment Analysis from RST Discourse Parsing (2015 · 235 citations)
   Document-level sentiment classifiers usually treat a review as a bag of words. This fails when many positive remarks are overridden by one decisive negative conclusion. The authors revisit Rhetorical Structure Theory (RST), since earlier work found automatic RST parses unhelpful but parsers have improved considerably…
2. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file Context (2024 · 45 citations)
   Most code language models complete a file using only the code above the cursor. They ignore definitions elsewhere in the same repository, which matter a great deal in modular projects. Without that information, models invent class methods or call functions with wrong arguments, especially in private, still-developing…

All works

7 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

1. Better Document-level Sentiment Analysis from RST Discourse ParsingConference on Empirical Methods in Natural Language Processing (EMNLP)Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein2015 · 235 citations
2. Multi-lingual Evaluation of Code Generation Models ↗arXiv:2210.14868 · no summary yetBen Athiwaratkun et al.2022 · 86 citations
3. ReCode: Robustness Evaluation of Code Generation Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetShiqi Wang et al.2023 · 68 citations
4. CoCoMIC: Code Completion by Jointly Modeling In-file and Cross-file ContextLanguage Resources and Evaluation Conference (LREC)Yangruibo Ding, Zijian Wang, Wasi Ahmad, et al.2024 · 45 citations
5. DQ-BART: Efficient Sequence-to-Sequence Model via Joint Distillation and Quantization ↗Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetZheng Li et al.2022 · 34 citations
6. Exploring Continual Learning for Code Generation Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) · no summary yetPrateek Yadav et al.2023 · 26 citations
7. A Static Evaluation of Code Completion by Large Language Models ↗Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) · no summary yetHantian Ding et al.2023 · 11 citations

🤝 Co-authors here

8 co-authors with a page, the most papers together first.

• Bing Xiang
• Dan Roth
• Jacob Eisenstein
• Murali Krishna Ramanathan
• Ramesh Nallapati
• Wasi Uddin Ahmad
• Yangfeng Ji
• Zijian Wang

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

• Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track) ×4
• Conference on Empirical Methods in Natural Language Processing (EMNLP): EMNLP 2015
• Language Resources and Evaluation Conference (LREC): LREC 2024

🔗 Cited by

Papers of our library cite their works 213 times (of the 149,439 papers whose bibliographies we read); 59 citing papers with a page here →.

Updated 31 October 2026

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