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Bhargavi Paranjape

Bhargavi Paranjape has 2 papers in our library, in 2020–2023, most of them on Language models & pretraining, Reasoning; often with Hannaneh Hajishirzi, Luke Zettlemoyer, John Thickstun.

2 papers in our library · 2020–2023

OpenAlex · h-index 13 · 35 works · 983 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 272 times in our library · 7 more in our library without a page yet · ⭐ Paper Stars ranking: #5600

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🎓University of WashingtonSeattle · United States2019–2024 · 14 papers🎓Carnegie Mellon UniversityPittsburgh · United States2018–2019 · 6 papers🎓Indian Institute of Technology KharagpurKharagpur · India2016 · 3 papers🔬Allen InstituteSeattle · United States2020–2021 · 2 papers🔬Allen Institute for Artificial IntelligenceSeattle · United States2020–2021 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workReasoning · 1 work

 Works by year

2020s

20231 paper20201 paper

 Papers

The most cited first (OpenAlex and our library).

  1. ART: Automatic multi-step reasoning and tool-use for large language models (2023 · 154 citations)
    Large language models struggle with multi-step reasoning, arithmetic and tasks that need fresh facts. Existing chain-of-thought (CoT) and tool-augmented methods usually depend on hand-written, task-specific prompts or fine-tuning. The authors propose ART (Automatic Reasoning and Tool-use), a gradient-free framework…
  2. An Information Bottleneck Approach for Controlling Conciseness in Rationale Extraction (2020 · 140 citations)
    Rationale-based models make predictions from a selected part of the input text, which makes them easier to interpret.

All works

9 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. ART: Automatic multi-step reasoning and tool-use for large language modelsarXiv:2303.09014Bhargavi Paranjape, Scott Lundberg, Sameer Singh, et al.2023 · 154 citations
  2. An Information Bottleneck Approach for Controlling Conciseness in Rationale ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Bhargavi Paranjape, Mandar Joshi, John Thickstun, et al.2020 · 140 citations
  3. Entity Projection via Machine Translation for Cross-Lingual NER ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetAlankar Jain, Bhargavi Paranjape, Zachary C. Lipton2019 · 113 citations
  4. Prompting Contrastive Explanations for Commonsense Reasoning Tasks ↗Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 · no summary yetBhargavi Paranjape et al.2021 · 96 citations
  5. SCDV : Sparse Composite Document Vectors using soft clustering over distributional representations ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetDheeraj Mekala et al.2017 · 57 citations
  6. CORE: A Retrieve-then-Edit Framework for Counterfactual Data Generation ↗Findings of the Association for Computational Linguistics: EMNLP 2022 · no summary yetTanay Dixit et al.2022 · 37 citations
  7. AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization ↗arXiv (Cornell University) · no summary yetBhargavi Paranjape et al.2022 · 3 citations
  8. Contextualized Representations for Low-resource Utterance Tagging ↗Proceedings of the 20th Annual SIGdial Meeting on Discourse and Dialogue · no summary yetBhargavi Paranjape, Graham Neubig2019 · 2 citations
  9. HorizonBench: Long-Horizon Personalization with Evolving Preferences ↗arXiv (Cornell University) · no summary yetShuyue Stella Li et al.2026

 Co-authors here

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

Venues

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

 Cited by

Papers of our library cite their works 272 times (of the 149,439 papers whose bibliographies we read); 53 citing papers with a page here →.

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