🧑‍🔬 Puneet Mathur

🏛️ Affiliations

🎓University of Maryland, College ParkCollege Park · United States2020–2026 · 29 paperscurrent🏢Adobe SystemsSan Jose · United States2024–2026 · 19 paperscurrent🎓Netaji Subhas University of TechnologyNew Delhi · India2018 · 7 papers🎓Indraprastha Institute of Information Technology DelhiDelhi · India2019–2021 · 3 papers🎓Marwadi UniversityRajkot · India2013Employment since 2013 · Assistant Professor, Mechanical Engineering

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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. Structured Uncertainty guided Clarification for LLM Agents (2026 · 4 citations)
   Tool-calling LLM agents often fail when a user's request is vague or missing details. They either guess arguments or ask needless questions, because prompting-based clarification has no clear rule for what to ask or when to stop. The authors reframe clarification around the tool schema itself. The agent keeps…
2. Lizard: An Efficient Linearization Framework for Large Language Models (2026 · 2 citations)
   Transformer LLMs become expensive on long inputs because softmax attention scales quadratically and the KV cache keeps growing during generation.
3. A Survey on LLM-based Conversational User Simulation (2026 · 1 citation)
   This survey organizes the fast-growing literature on using large language models to imitate users in dialogue.
4. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasks (2026)
   Benchmarks for LLM-based report writing usually test isolated subskills, such as summarization or table aggregation. Benchmarks with realistic professional tasks, like GDPval, depend on costly expert-built tasks. AnalystBench aims to evaluate the whole analyst workflow at low cost.
5. Test-Time Strategies for More Efficient and Accurate Agentic RAG (2026)
   The paper looks at weaknesses of Search-R1, an agentic RAG framework trained with reinforcement learning to alternate reasoning with retrieval.

All works

9 works of theirs in our library, the most cited first; 5 with a page here, the others link their original until we summarise them.

1. Did you offend me? Classification of Offensive Tweets in Hinglish Language ↗Proceedings of the 2nd Workshop on Abusive Language Online (ALW2) · no summary yetPuneet Mathur et al.2018 · 151 citations
2. Exploring and Learning Suicidal Ideation Connotations on Social Media with Deep Learning ↗Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis · no summary yetRamit Sawhney et al.2018 · 132 citations
3. Hindi-English Hate Speech Detection: Author Profiling, Debiasing, and Practical Perspectives ↗Proceedings of the AAAI Conference on Artificial Intelligence · no summary yetShivang Chopra et al.2020 · 63 citations
4. Structured Uncertainty guided Clarification for LLM AgentsFindings of the Association for Computational LinguisticsManan Suri, Puneet Mathur, Nedim Lipka, et al.2026 · 4 citations
5. Lizard: An Efficient Linearization Framework for Large Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Chien Van Nguyen, Huy Huu Nguyen, Ruiyi Zhang, et al.2026 · 2 citations
6. A Survey on LLM-based Conversational User SimulationConference of the European Chapter of the Association for Computational Linguistics (EACL)Bo Ni, Yu Wang, Leyao Wang, et al.2026 · 1 citation
7. AnalystBench: Benchmarking professional long-form report generation with web-mined multimodal tasksFindings of the Association for Computational LinguisticsChau Minh Pham, Zichao Wang, Puneet Mathur, et al.2026
8. Test-Time Strategies for More Efficient and Accurate Agentic RAGAnnual Meeting of the Association for Computational Linguistics (ACL)Abhinav Sharma, Brian Zhang, Deepti Guntur, et al.2026
9. ChartEval: LLM-Driven Chart Generation Evaluation Using Scene Graph Parsing ↗Proceedings of The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations · no summary yetKanika Goswami et al.2025

🤝 Co-authors here

12 of 24 co-authors with a page, the most papers together first.

• Franck Dernoncourt ×4
• Nedim Lipka ×3
• Ryan A. Rossi ×3
• Akriti Jain
• Aparna Garimella
• Bo Ni
• Branislav Kveton
• Chau Minh Pham
• Chien Van Nguyen
• Dinesh Manocha
• Haoliang Wang
• Hongjie Chen

Venues

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

• Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×2
• Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Proceedings of The 14th International Joint Conference on Natural Language Processing and The 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics: System Demonstrations
• Proceedings of the 2nd Workshop on Abusive Language Online (ALW2)
• Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis
• Proceedings of the AAAI Conference on Artificial Intelligence

🔗 Cited by

Papers of our library cite their works 65 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated 1 November 2026

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