Md. Tahmid Rahman Laskar
Orcid: 0009-0001-7880-299X
According to our database1,
Md. Tahmid Rahman Laskar
authored at least 35 papers
between 2019 and 2024.
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Bibliography
2024
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges.
ACM Comput. Surv., July, 2024
CoRR, 2024
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs.
CoRR, 2024
A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks.
Comput. Biol. Medicine, 2024
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs.
CoRR, 2023
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.
CoRR, 2023
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia.
CoRR, 2023
Comput. Hum. Behav., 2023
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers.
Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries.
Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop.
CoRR, 2022
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization.
Comput. Linguistics, 2022
An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts.
Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022
2021
ACM Trans. Cyber Phys. Syst., 2021
Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021
2020
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection.
CoRR, 2020
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization.
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models.
Proceedings of the Advances in Artificial Intelligence, 2020
2019
J. Ambient Intell. Humaniz. Comput., 2019