| BLINK with Elasticsearch for efficient entity linking in business conversations MTR Laskar, C Chen, A Martsinovich, J Johnston, XY Fu, SB Tn, ... arXiv preprint arXiv:2205.04438, 2022 | 17 | 2022 |
| An auto encoder-based dimensionality reduction technique for efficient entity linking in business phone conversations MTR Laskar, C Chen, J Johnston, XY Fu, S Bhushan TN, S Corston-Oliver Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 14 | 2022 |
| Improving punctuation restoration for speech transcripts via external data XY Fu, C Chen, MTR Laskar, SB TN, S Corston-Oliver arXiv preprint arXiv:2110.00560, 2021 | 10 | 2021 |
| Building real-world meeting summarization systems using large language models: A practical perspective MTR Laskar, XY Fu, C Chen, SB Tn arXiv preprint arXiv:2310.19233, 2023 | 9 | 2023 |
| Entity-level sentiment analysis in contact center telephone conversations XY Fu, C Chen, MTR Laskar, S Gardiner, P Hiranandani, SB Tn arXiv preprint arXiv:2210.13401, 2022 | 8 | 2022 |
| An effective, performant named entity recognition system for noisy business telephone conversation transcripts XY Fu, C Chen, MTR Laskar, SB Tn, S Corston-Oliver arXiv preprint arXiv:2209.13736, 2022 | 6 | 2022 |
| Dynamic model evaluation to accelerate distributed machine learning S Caton, S Venugopal, SB Tn, VS Velamuri, K Katrinis 2018 IEEE International Congress on Big Data (BigData Congress), 150-157, 2018 | 4 | 2018 |
| Improving named entity recognition in telephone conversations via effective active learning with human in the loop MTR Laskar, C Chen, XY Fu, SB Tn arXiv preprint arXiv:2211.01354, 2022 | 3 | 2022 |
| Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs XY Fu, MTR Laskar, C Chen, SB TN arXiv preprint arXiv:2311.00681, 2023 | 2 | 2023 |
| Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? XY Fu, MTR Laskar, E Khasanova, C Chen, SB TN arXiv preprint arXiv:2402.00841, 2024 | 1 | 2024 |
| Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization MTR Laskar, E Khasanova, XY Fu, C Chen, SB TN arXiv preprint arXiv:2403.00067, 2024 | | 2024 |
| Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization M Tahmid Rahman Laskar, E Khasanova, XY Fu, C Chen, S Bhushan TN arXiv e-prints, arXiv: 2403.00067, 2024 | | 2024 |
| Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs MTR Laskar, C Chen, SB Tn Proceedings of the Third Workshop on Natural Language Generation, Evaluation …, 2023 | | 2023 |
| Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective M Tahmid Rahman Laskar, XY Fu, C Chen, S Bhushan TN arXiv e-prints, arXiv: 2310.19233, 2023 | | 2023 |
| Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop M Tahmid Rahman Laskar, C Chen, XY Fu, S Bhushan TN arXiv e-prints, arXiv: 2211.01354, 2022 | | 2022 |
| BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations M Tahmid Rahman Laskar, C Chen, A Martsinovich, J Johnston, XY Fu, ... arXiv e-prints, arXiv: 2205.04438, 2022 | | 2022 |
