Md Tahmid Rahman Laskar

Researcher, York University

Senior Applied Scientist, Dialpad Inc.

Joined

January 2022

Names

Md Tahmid Rahman Laskar (Preferred)

Md. Tahmid Rahman Laskar

Emails

****@dialpad.com (Confirmed)

****@yorku.ca (Confirmed)

****@outlook.com (Confirmed)

Personal Links

Career & Education History

Researcher

York University (yorku.ca)

2024 – Present

Senior Applied Scientist

Dialpad Inc. (dialpad.com)

2021 – Present

MS student

York University (yorku.ca)

2018 – 2020

Undergrad student

Islamic University of Technology (iutoic-dhaka.edu)

2011 – 2015

Advisors, Relations & Conflicts

PhD Advisor

Enamul Hoque

2018 – Present

PhD Advisor

Jimmy Xiangji Huang

2018 – Present

Expertise

Natural Language Processing

Present

Text Summarization

Present

Question Answering

Present

Query Focused Text Summarization

Present

Large Language Model Evaluation

Present

Large Language Models

Present

Publications

Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
Md. Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Mizanur Rahman, Amran Bhuiyan, Israt Jahan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang
- CoRR 2025
- Readers: Everyone
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
Elena Khasanova, Harsh Saini, Md. Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
- CoRR 2025
- Readers: Everyone
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
Xue-Yong Fu, Elena Khasanova, Md. Tahmid Rahman Laskar, Harsh Saini, Shashi Bhushan TN
- CoRR 2025
- Readers: Everyone
Beyond Fertility: Analyzing STRR as a Metric for Multilingual Tokenization Evaluation
Mir Tafseer Nayeem, Sawsan Alqahtani, Md. Tahmid Rahman Laskar, Tasnim Mohiuddin, M. Saiful Bari
- CoRR 2025
- Readers: Everyone
AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
Md. Tahmid Rahman Laskar, Julien Bouvier Tremblay, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
- CoRR 2025
- Readers: Everyone
LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
Mizanur Rahman, Amran Bhuiyan, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Ridwan Mahbub, Ahmed Masry, Shafiq Joty, Enamul Hoque
- CoRR 2025
- Readers: Everyone
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
Abeer Badawi, Elahe Rahimi, Md Tahmid Rahman Laskar, Sheri Grach, Lindsay Bertrand, Lames Danok, Jimmy Huang, Frank Rudzicz, Elham Dolatabadi
- ICLR 2026 Conference Desk Rejected Submission
- Readers: Everyone
Beyond Fertility: Analyzing STRR as a Metric for Multilingual Tokenization Evaluation
Mir Tafseer Nayeem, Sawsan Alqahtani, Md Tahmid Rahman Laskar, Tasnim Mohiuddin, M Saiful Bari
- NeurIPS 2025 LLM Evaluation Workshop Poster
- Readers: Everyone
From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text
Ridwan Mahbub, Mohammed Saidul Islam, Mir Tafseer Nayeem, Md. Tahmid Rahman Laskar, Mizanur Rahman, Shafiq Joty, Enamul Hoque
- CoRR 2025
- Readers: Everyone
The Perils of Chart Deception: How Misleading Visualizations Affect Vision-Language Models
Ridwan Mahbub, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mizanur Rahman, Mir Tafseer Nayeem, Enamul Hoque
- CoRR 2025
- Readers: Everyone

View all 80 publications

Co-Authors

View all 85 co-authors