Dynamic Model Evaluation to Accelerate Distributed Machine Learning. - Simon Caton; Srikumar Venugopal; Shashi Bhushan TN; Vidya Sankar Velamuri; Kostas Katrinis (BigData Congress, 2018)

Improving Punctuation Restoration for Speech Transcripts via External Data. - Xue-Yong Fu; Cheng Chen; Md. Tahmid Rahman Laskar; Shashi Bhushan TN; Simon Corston-Oliver (W-NUT, 2021)

An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts. - Xue-Yong Fu; Cheng Chen; Md. Tahmid Rahman Laskar; Shashi Bhushan TN; Simon Corston-Oliver (W-NUT@COLING, 2022)

Entity-level Sentiment Analysis in Contact Center Telephone Conversations. - Xue-Yong Fu; Cheng Chen; Md. Tahmid Rahman Laskar; Shayna Gardiner; Pooja Hiranandani; Shashi Bhushan TN (EMNLP (Industry Track), 2022)

BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations. - Md. Tahmid Rahman Laskar; Cheng Chen; Aliaksandr Martsinovich; Jonathan Johnston; Xue-Yong Fu; Shashi Bhushan TN; Simon Corston-Oliver (NAACL-HLT (Industry Papers), 2022)

An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations. - Md. Tahmid Rahman Laskar; Cheng Chen; Jonathan Johnston; Xue-Yong Fu; Shashi Bhushan TN; Simon Corston-Oliver (SIGIR, 2022)

Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop. - Md. Tahmid Rahman Laskar; Cheng Chen; Xue-Yong Fu; Shashi Bhushan TN (CoRR, 2022)

AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching. - Md. Tahmid Rahman Laskar; Cheng Chen; Xue-Yong Fu; Mahsa Azizi; Shashi Bhushan TN; Simon Corston-Oliver (ACL (industry), 2023)

Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective. - Md. Tahmid Rahman Laskar; Xue-Yong Fu; Cheng Chen; Shashi Bhushan TN (EMNLP (Industry Track), 2023)

Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs. - Xue-Yong Fu; Md. Tahmid Rahman Laskar; Cheng Chen; Shashi Bhushan TN (CoRR, 2023)

Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization. - Md. Tahmid Rahman Laskar; Elena Khasanova; Xue-Yong Fu; Cheng Chen; Shashi Bhushan TN (EMNLP (Industry Track), 2024)

Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? - Xue-Yong Fu; Md. Tahmid Rahman Laskar; Elena Khasanova; Cheng Chen; Shashi Bhushan TN (NAACL (Industry Track), 2024)