Prasanna Parthasarathi
Prasanna Parthasarathi has 2 papers in our library, in 2021–2026, most of them on Reasoning; often with Adina Williams, Boxing Chen, Joelle Pineau.
OpenAlex · h-index 7 · 59 works · 282 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 145 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6362
Affiliations
Fields, topics and concepts
📚 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 1Research subjects and languages the work is about.Reasoning · 1 work
Works by year
2020s
Papers
- UnNatural Language Inference (2021 · 135 citations)
This paper tests whether high-performing Natural Language Inference (NLI) models actually depend on word order, which is a basic requirement for "knowing syntax." The authors randomly shuffle the words of premise and hypothesis sentences and check whether models still output the original gold label. - Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning Models (2026 · 1 citation)
Sequential test-time scaling makes a large reasoning model keep thinking, for example by swapping its end-of-thinking token for "Wait".
All works
- UnNatural Language InferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Koustuv Sinha, Prasanna Parthasarathi, Joelle Pineau, et al.2021 · 135 citations
- Learning an Unreferenced Metric for Online Dialogue Evaluation ↗Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics · no summary yetKoustuv Sinha et al.2020 · 114 citations
- Extending Neural Generative Conversational Model using External Knowledge Sources ↗Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yetPrasanna Parthasarathi, Joelle Pineau2018 · 102 citations
- Thinking Long, but Short: Stable Sequential Test-Time Scaling for Large Reasoning ModelsFindings of the Association for Computational LinguisticsMichael R. Metel, Yufei Cui, Boxing Chen, et al.2026 · 1 citation
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2021
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
- Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
Cited by
Updated
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