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Preethi Seshadri

Observed name: Seshadri, Preethi
Observed institution: University of California, Irvine
OpenAlex ID: A5115829711
Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
2025 · Preethi Seshadri, Hongyu Chen, et al. · International Joint Conference on Natural Language Processing and Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL) · 3
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Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
2026 · Preethi Seshadri, Samuel Cahyawijaya, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
2025 · Seshadri, Preethi, Chen, Hongyu, et al. · arXiv (Cornell University) · 1
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Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
2026 · Association for Computational Linguistics 2026, Cahyawijaya, Samuel, et al. · Underline Science Inc.
Where Do Images Come From? Analyzing Captions to Geographically Profile Datasets
2026 · Basu, Abhipsa, Bahl, Yugam, et al. · arXiv (Cornell University)
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Lost in Simulation: LLM-Simulated Users are Unreliable Proxies for Human Users in Agentic Evaluations
2026 · Seshadri, Preethi, Cahyawijaya, Samuel, et al. · arXiv (Cornell University)
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Small Changes, Large Consequences: Analyzing the Allocational Fairness of LLMs in Hiring Contexts
2025 · Association for Computational Linguistics 2025, Chen, Hongyu, et al. · Underline Science Inc.
Agree to Disagree? A Meta-Evaluation of LLM Misgendering
2025 · Subramonian, Arjun, Gautam, Vagrant, et al. · arXiv (Cornell University)
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Command A: An Enterprise-Ready Large Language Model
2025 · Cohere, Team, :, et al. · arXiv (Cornell University)
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Works count: 9
Citation count: 5
H-index: 1
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