Md Tahmid Rahman Laskar
NLP Applied Scientist @ Dialpad
Toronto, Ontario, Canada
Email: tahmid.iut{at}outlook.com
Major Recent Updates
2 papers accepted: 1 at NAACL 2024 and 1 at LREC-COLING 2024
5 papers accepted at EMNLP 2023 (3 in Conference, 2 in Workshop)
3 papers presented at ACL 2023 (2 in Conference, 1 in Workshop)
About me
I am currently working as an NLP Applied Scientist at Dialpad. I am also a Course Director (Adjunct Faculty) at York University, Canada. Prior to that, I completed my M.Sc. (Thesis-based) in Computer Science from York University. For my M.Sc. thesis, I conducted research on the application of Deep Learning in Natural Language Processing under the supervision of Prof. Jimmy Huang and Prof. Enamul Hoque Prince. In particular, I utilized Deep Learning for various Question Answering tasks, such as Answer Sentence Selection and Answer Summary Generation.
Education
M.Sc. in Computer Science
York University, Canada
September 2018 to December 2020
B.Sc. in Computer Science and Engineering
Islamic University of Technology, Bangladesh
December 2011 to December 2015
Work Experience
NLP Applied Scientist @ Dialpad
February 2021 to Present
Course Director @ York University
September 2022 to Present
Research Assistant @ York University
September 2018 to January 2021
Deep Learning Research Intern @ Streamline Genomics
September 2020 to December 2020
Machine Learning Research Intern @ Dapasoft Inc
January 2019 to August 2020
Teaching Assistant @ York University
September 2018 to May 2020
Adjunct Lecturer @ Leading University, Sylhet
May 2016 to August 2018
Selected Publications
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
Accepted for Publication at NAACL 2024 (Industry Track)
*Equal Contribution First Author
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
Md Tahmid Rahman Laskar, M Saiful Bari, Mizanur Rahman, Md Amran Hossen Bhuiyan, Shafiq Joty, Jimmy Huang
Published in the Proceedings of ACL 2023 (Findings)
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
Published in the Proceedings of ACL 2023 (Industry Track)
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
Published in the Proceedings of EMNLP 2023 (Industry Track)
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization
Md Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Huang
Published in the Proceedings of EMNLP 2023 (Findings)
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization
Ridwan Mahbub, Ifrad Towhid Khan, Samiha Shafiq Anuva, Md Shihab Shahriar, Md Tahmid Rahman Laskar, Sabbir Ahmed
Published in the Proceedings of EMNLP 2023 (Main)
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
Published in the Proceedings of SIGIR 2022 (Industry Track)
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
Published in the Proceedings of NAACL 2022 (Industry Track)
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
Published in the Proceedings of EMNLP 2022 (Industry Track)
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang
Published in the Computational Linguistics Journal
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang
Published in the Proceedings of COLING 2020
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task
Md Tahmid Rahman Laskar, Jimmy Huang, Enamul Hoque
Published in the Proceedings of LREC 2020
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, Simon Corston-Oliver
Published in the Proceedings of DaSH Workshop @ EMNLP 2022 [Won the best paper award] (Also got accepted at the HiLL workshop @ NIPS 2022)
A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang
Published in the Computers in Biology and Medicine Journal
Utilizing BERT for Information Retrieval: Survey, Applications, Resources and Challenges
Jiajia Wang, Jimmy X Huang, Xinhui Tu, Junmei Wang, Angela J Huang, Md Tahmid Rahman Laskar, Amran Bhuiyan
Published in the ACM Computing Surveys Journal
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP.
Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari, Enamul Hoque
Published in the Proceedings of LREC-COLING 2024
Are LLMs Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
Xue-Yong Fu, Md Tahmid Rahman Laskar, Cheng Chen, Shashi Bhushan TN
Published at GEM Workshop 2023 @ EMNLP 2023
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang
Published at BioNLP @ ACL 2023
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means
Md Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu
Published in the ACM Transactions on Cyber-Physical Systems (TCPS) Journal
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities
Mohsinul Kabir, Tasnim Ahmed, Md Bakhtiar Hasan, Md Tahmid Rahman Laskar, Tarun Kumar Joarder, Hasan Mahmud, Kamrul Hasan
Published in the Computers in Human Behavior Journal
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries
Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, Md Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, Abu Raihan Mostofa Kamal
Published in the Proceedings of Canadian AI 2023
Multihop Factual Claim Verification Using Natural Language Prompts
Md Mezbaur Rahman, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Azam Hossain, Abu Raihan Mostofa Kamal
Published in the Proceedings of Canadian AI 2023
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang
Published in the Proceedings of Canadian AI 2020
A Localized Fault Tolerant Load Balancing Algorithm for RFID Systems
Ahnaf Munir, Md. Tahmid Rahman Laskar, Md Sakhawat Hossen, Salimur Choudhury
Published in the Journal of Ambient Intelligence and Humanized Computing
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
Published in the Proceedings of WNUT Workshop @ COLING 2022
Improving Punctuation Restoration for Speech Transcripts via External Data
Xue-Yong Fu, Cheng Chen, Md Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
Published in the Proceedings of WNUT Workshop @ EMNLP 2021
BanglaCHQ-Summ: An Abstractive Summarization Dataset for Medical Queries in Bangla Conversational Speech
Alvi Aveen Khan, Fida Kamal, Mohammad Abrar Chowdhury, Tasnim Ahmed, Md Tahmid Rahman Laskar, Sabbir Ahmed
Published in the Proceedings of the Bangla Language Processing Workshop @ EMNLP 2023
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection
Md Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang
Published in the Proceedings of AMMCS 2019
Skills
Languages: Python, C, C++, Java, SQL
Deep Learning and Machine Learning: PyTorch, TensorFlow, Scikit-learn, Kubeflow, MLlib
Natural Language Processing: HuggingFace, NLTK, spaCy
Web & Mobile Development: HTML, CSS, JavaScript, jQuery, Android, Xamarin
Others: Apache Spark, Elasticsearch, BigQuery, Kibana, Numpy, Pandas, Docker, Kubernetes, Git, CI/CD, Jira, CUDA, Linux Environments
Recent News
Paper accepted at NAACL 2024
March 2024Papers accepted at LREC-COLING 2024, Computers in Biology and Medicine, ACM Computing Surveys
February 2024Papers accepted at EMNLP 2023
October 2023Papers accepted at ACL 2023
May 2023Papers accepted at Canadian AI 2023
April 2023Papers accepted at EMNLP 2022
September 2022Paper accepted at Computers in Human Behavior.
September 2022Paper accepted at WNUT-COLING 2022
September 2022Paper accepted at SIGIR 2022
May 2022Paper accepted at NAACL 2022
April 2022Paper accepted at Computational Linguistics
December 2021Paper accepted at WNUT @ EMNLP 2021
September 2021Paper accepted at ACM TCPS
April 2021Accepted offer from Dialpad for the position of NLP Applied Scientist.
January 2021Successfully defended my M.Sc. Thesis.
November 2020Paper accepted at COLING 2020
September 2020Worked as a Volunteer Organizer at SIGIR 2020
July 2020Paper accepted at Canadian AI 2020
February 2020Paper accepted at LREC 2020
February 2020Paper Accepted at AMMCS 2019
August 2019Started as a Machine Learning Research Intern (Part-time) at Dapasoft Inc
January 2019Joined as a Graduate Teaching Student at the Department of EECS, York University
September 2018Joined as a Graduate Research Assistant at York University
September 2018Started Fully Funded M.Sc. in Computer Science at York University
September 2018