Rajkumar Pujari
Computer Science · Purdue University West Lafayette
Publications
25
Citations
46
Est. group size
—
Recurring co-author estimate
Active years
13
Publishing since 2014
Rajkumar Pujari works in natural language processing (NLP), the branch of computer science concerned with teaching computers to understand and generate human language. Their recent work focuses on modeling political and social discourse, detecting stereotypes and bias in text, grounding conversations in cultural or social context, and evaluating outputs from large language models (LLMs). A prospective student would likely engage with topics like text analysis of political speech, social media content modeling, and building benchmarks or evaluation methods for AI language systems.
Publication output has been relatively steady with modest year-to-year fluctuation over the past decade, and shows a sharp recent spike in 2026, though this may partly reflect multiple listings of the same works across preprint and conference venues.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- PReMISE: Policy Rubrics as Measurement Specifications for LLM Judges
arXiv (Cornell University) · 2026
- TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Open MIND · 2026
- TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
arXiv (Cornell University) · 2026
- PReMISE: Policy Rubrics as Measurement Specifications for LLM Judges
arXiv (Cornell University) · 2026
- TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
2026
- AGC-Bench: Measuring Artificial General Creativity
arXiv (Cornell University) · 2026
- AGC-Bench: Measuring Artificial General Creativity
arXiv (Cornell University) · 2026
- TAIGR: Towards Modeling Influencer Content on Social Media via Structured, Pragmatic Inference
Underline Science Inc. · 2026
- LLM-Human Pipeline for Cultural Grounding of Conversations
2025
- LLM-Human Pipeline for Cultural Context Grounding of Conversations
arXiv (Cornell University) · 2024
- “We Demand Justice!”: Towards Social Context Grounding of Political Texts
2024
- "We Demand Justice!": Towards Social Context Grounding of Political Texts
arXiv (Cornell University) · 2023
- Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · 2022
- Reinforcement Guided Multi-Task Learning Framework for Low-Resource Stereotype Detection
arXiv (Cornell University) · 2022
- Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
arXiv (Cornell University) · 2021
- arXiv (Cornell University)×13
- Figshare×2
- Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing×1
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)×1
- Lecture notes in computer science×1
- María Leonor Pacheco
Computer Science · Purdue University West Lafayette
- Yaqing Wang
Computer Science · Purdue University West Lafayette
- Daniel Dakota
Computer Science · Indiana University
- Dan Goldwasser
Computer Science · Purdue University West Lafayette
- Joan C. Timoneda
Computer Science · Purdue University West Lafayette
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 20, 2026.
Claim or correct this profile