Bhawna Piryani

Orcid: 0009-0005-3578-2393

According to our database1, Bhawna Piryani authored at least 29 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Pretraining Exposure Explains Popularity Judgments in Large Language Models.
CoRR, May, 2026

Context Convergence Improves Answering Inferential Questions.
CoRR, May, 2026

How often do Answers Change? Estimating Recency Requirements in Question Answering.
CoRR, March, 2026

Temporal Information Retrieval And Question Answering in the Age of LLMs.
Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

TempRetriever: Fusion-based Temporal Dense Passage Retrieval for Time-Sensitive Questions.
Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

It's High Time: A Survey of Temporal Question Answering.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Question Difficulty Estimation for Large Language Models via Answer Plausibility Scoring.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

BracketRank: Large Language Model Document Ranking via Reasoning-based Competitive Elimination.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
RankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback.
CoRR, August, 2025

It's High Time: A Survey of Temporal Information Retrieval and Question Answering.
CoRR, May, 2025

Evaluating Answer Reranking Strategies in Time-sensitive Question Answering.
CoRR, March, 2025

Extending Dense Passage Retrieval with Temporal Information.
CoRR, February, 2025

From Retrieval to Generation: Comparing Different Approaches.
CoRR, February, 2025

MultiOCR-QA: Dataset for Evaluating Robustness of LLMs in Question Answering on Multilingual OCR Texts.
CoRR, February, 2025

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation.
CoRR, February, 2025

HintEval: A Comprehensive Framework for Hint Generation and Evaluation for Questions.
CoRR, February, 2025

Wrong Answers Can Also Be Useful: PlausibleQA - A Large-Scale QA Dataset with Answer Plausibility Scores.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

ASRank: Zero-Shot Re-Ranking with Answer Scent for Document Retrieval.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DeAR: Dual-Stage Document Reranking with Reasoning Agents via LLM Distillation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

DynRank: Improve Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Evaluating Robustness of LLMs in Question Answering on Multilingual Noisy OCR Data.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

RerankArena: A Unified Platform for Evaluating Retrieval, Reranking and RAG with Human and LLM Feedback.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024
DynRank: Improving Passage Retrieval with Dynamic Zero-Shot Prompting Based on Question Classification.
CoRR, 2024

ChroniclingAmericaQA: A Large-scale Question Answering Dataset based on Historical American Newspaper Pages.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Detecting Temporal Ambiguity in Questions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Exploring Hint Generation Approaches for Open-Domain Question Answering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Exploring the state of the art in legal QA systems.
J. Big Data, December, 2023

2020
Sentiment analysis in Nepali: Exploring machine learning and lexicon-based approaches.
J. Intell. Fuzzy Syst., 2020


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