Avishek Lahiri

According to our database, Avishek Lahiri authored at least 8 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

TaxoAlign: Scholarly Taxonomy Generation Using Language Models.

Avishek Lahiri, Yufang Hou, Debarshi Kumar Sanyal

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

NLP-QA: A Large-scale Benchmark for Informative Question Answering over Natural Language Processing Documents.

Avishek Lahiri, Debarshi Kumar Sanyal, Imon Mukherjee

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Evaluating Negative Sampling Approaches for Neural Topic Models.

Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das

IEEE Trans. Artif. Intell., November, 2024

Few-TK: A Dataset for Few-shot Scientific Typed Keyphrase Recognition.

Avishek Lahiri, Pratyay Sarkar, Medha Sen, Debarshi Kumar Sanyal, Imon Mukherjee

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

2023

CitePrompt: Using Prompts to Identify Citation Intent in Scientific Papers.

Avishek Lahiri, Debarshi Kumar Sanyal, Imon Mukherjee

Proceedings of the ACM/IEEE Joint Conference on Digital Libraries, 2023

A Keyphrase-Centric Search Engine for Scientific Papers.

Avishek Lahiri, Debarshi Kumar Sanyal, Imon Mukherjee

Proceedings of the 15th Annual Meeting of the Forum for Information Retrieval Evaluation, 2023

Do Neural Topic Models Really Need Dropout? Analysis of the Effect of Dropout in Topic Modeling.

Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022

Improving Contextualized Topic Models with Negative Sampling.

Suman Adhya, Avishek Lahiri, Debarshi Kumar Sanyal, Partha Pratim Das

Proceedings of the 19th International Conference on Natural Language Processing, 2022