Shashi Bhushan TN

According to our database, Shashi Bhushan TN authored at least 12 papers between 2018 and 2024.

Collaborative distances:

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

2024

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

CoRR, 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

CoRR, 2024

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

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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

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

Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023

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

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 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

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.

Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver

Proceedings of the Eighth Workshop on Noisy User-generated Text, 2022

2021

Improving Punctuation Restoration for Speech Transcripts via External Data.

Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver

Proceedings of the Seventh Workshop on Noisy User-generated Text, 2021

2018

Dynamic Model Evaluation to Accelerate Distributed Machine Learning.

Simon Caton, Srikumar Venugopal, Shashi Bhushan TN, Vidya Sankar Velamuri, Kostas Katrinis

Proceedings of the 2018 IEEE International Congress on Big Data, 2018