Selected Publications

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
Mizanur Rahman, Md Tahmid Rahman Laskar, Shafiq Joty, Enamul Hoque
Accepted at EMNLP 2025 (Main Conference)

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
Accepted at EMNLP 2025 (Main Conference)

Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
Md Tahmid Rahman Laskar, Israt Jahan, Elham Dolatabadi, Chun Peng, Enamul Hoque, Jimmy Huang
Published at ACL 2025 (Main Conference)

Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Amran Bhuiyan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang
Published  at ACL 2025 (Industry Track)

ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
Ahmed Masry, Mohammed Saidul Islam, Mahir Ahmed, Aayush Bajaj, Firoz Kabir, Aaryaman Kartha, Md Tahmid Rahman Laskar, Mizanur Rahman, Shadikur Rahman, Mehrad Shahmohammadi, Megh Thakkar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty
Published  at ACL 2025 (Findings)

Position: Beyond Assistance - Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
Abeer Badawi, Md Tahmid Rahman Laskar, Jimmy Xiangji Huang, Shaina Raza, Elham Dolatabadi
Published at ICML 2025 (Position Track)

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
Accepted at IEEE VIS 2025 

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
Md Tahmid Rahman Laskar, Sawsan Alqahtani, M Saiful Bari, Mizanur Rahman, Mohammad Abdullah Matin Khan, Haidar Khan, Israt Jahan,
Amran Bhuiyan, Chee Wei Tan, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty, Jimmy Huang
Published at EMNLP 2024 (Main Conference)

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
Published at EMNLP 2024 (Industry Track)

DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty
Published at EMNLP 2024 (Main Conference)

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
Mohammed Saidul Islam, Raian Rahman, Ahmed Masry*, Md Tahmid Rahman Laskar*, Mir Tafseer Nayeem*, Enamul Hoque
Published at EMNLP 2024 (Findings)

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
Published 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

LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
Harsh Saini, Md Tahmid Rahman Laskar, Cheng Chen, Elham Mohammadi, David Rossouw
Published at COLING 2025 (Industry Track)

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 in the NIPS 2022 HiLL workshop)

Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks
Israt Jahan, Md Tahmid Rahman Laskar, Chun Peng, Jimmy Huang
Published in the Canadian AI 2025

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

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

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

Recent News

• 1 Paper accepted at  IEEE VIS 2025
  June 2025

• 3 Papers accepted at ACL 2025
  May 2025

• 1 Paper accepted at ICML 2025 (Position Paper Track, 19.7% Acceptance Rate)
  May 2025

• 1 Paper accepted at Canadian AI 2025
  April 2025

• Area Chair at ACL 2025 (February ARR)
  February 2025

• Program Committee Member at SIGIR 2025
  February 2025

• Reviewer at ICML 2025 and ACL 2025 (Industry Track)
  February 2025

• Area Chair at NAACL 2025
  January 2025

• Paper accepted at COLING 2025
  November 2024

• 4 Papers accepted at EMNLP 2024
  September 2024

• Paper accepted at NAACL 2024
  March 2024

• Papers accepted at LREC-COLING 2024, Computers in  Biology and Medicine, ACM Computing Surveys
  February 2024

• Papers accepted at EMNLP 2023
  October 2023

• Papers accepted at ACL 2023
  May 2023

• Papers accepted at Canadian AI 2023
  April 2023

• Papers accepted at EMNLP 2022
  September 2022

• Paper accepted at Computers in Human Behavior.
  September 2022

• Paper accepted at WNUT-COLING 2022
  September 2022

• Paper accepted at SIGIR 2022
  May 2022

• Paper accepted at NAACL  2022
  April 2022

• Paper accepted at Computational Linguistics
  December 2021

• Paper accepted at WNUT @ EMNLP 2021
  September 2021

• Paper accepted at ACM TCPS
  April 2021

• Accepted offer from Dialpad for the position of NLP Applied Scientist.
  January 2021

• Successfully defended my M.Sc. Thesis.
  November 2020

• Paper accepted at COLING 2020
  September 2020

• Worked as a Volunteer Organizer at SIGIR 2020
  July 2020

• Paper accepted at Canadian AI 2020
  February 2020

• Paper accepted at LREC 2020
  February 2020

• Paper Accepted at AMMCS 2019
  August 2019

• Started as a Machine Learning Research Intern (Part-time) at Dapasoft Inc
  January 2019

• Joined as a Graduate Teaching Student at the Department of EECS, York University
  September 2018

• Joined as a Graduate Research Assistant at York University
  September 2018

• Started Fully Funded M.Sc. in Computer Science at York University
  September 2018

Volunteer Experience

• Area Chair at ARR February 2025 (ACL 2025), ARR May 2025 (EMNLP 2025), ARR July 2025 (AACL), NAACL Industry Track

• Reviewer at ICLR, ICML, NeurIPS, ARR (ACL, EMNLP, NAACL, EACL), SIGIR, KDD, AAAI, WSDM

• Organizer (Publicity & Publication Chair) at BLP Workshop in AACL 2025.