🧑‍🔬 Ameet Deshpande

🏛️ Affiliations

🎓Princeton UniversityPrinceton · United States2019–2026 · 25 papersEducation since 2019 · Ph.D, Computer Sciencecurrent🔬Allen Institute for Artificial IntelligenceSeattle · United States2023 · 3 papers🎓Indian Institute of Technology MadrasChennai · India2015–2019 · 3 papersEducation 2015–2019 · Bachelor of Technology, Computer Science and Engineering

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

📄 Papers

The most cited first (OpenAlex and our library).

1. Toxicity in chatgpt: Analyzing persona-assigned language models (2023 · 353 citations)
   The paper examines how safe ChatGPT is when developers configure it through the API's system parameter to imitate a specific persona.
2. Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs (2023 · 91 citations)
   The paper asks whether telling an LLM to adopt a socio-demographic identity changes its ability to solve reasoning problems that have nothing to do with that identity.

All works

5 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. Toxicity in chatgpt: Analyzing persona-assigned language modelsFindings of the Association for Computational LinguisticsAmeet Deshpande, Vishvak Murahari, Tanmay Rajpurohit, et al.2023 · 353 citations
2. Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMsarXiv:2311.04892Shashank Gupta, Vaishnavi Shrivastava, Ameet Deshpande, et al.2023 · 91 citations
3. Anthropomorphization of AI: Opportunities and Risks ↗Proceedings of the Natural Legal Language Processing Workshop 2023 · no summary yetAmeet Deshpande et al.2023 · 67 citations
4. C-STS: Conditional Semantic Textual Similarity ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetAmeet Deshpande et al.2023 · 25 citations
5. Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetAtharvan Dogra et al.2025 · 2 citations

🤝 Co-authors here

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

• Ashwin Kalyan ×2
• Ashish Sabharwal
• Karthik Narasimhan
• Peter Clark
• Shashank Gupta
• Tanmay Rajpurohit
• Tushar Khot

Venues

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

• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2023
• Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
• Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
• Proceedings of the Natural Legal Language Processing Workshop 2023

🔗 Cited by

Papers of our library cite their works 288 times (of the 149,439 papers whose bibliographies we read); 75 citing papers with a page here →.

Updated 2 November 2026

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