A localized fault tolerant load balancing algorithm for RFID systems. - Ahnaf Munir; Md. Tahmid Rahman Laskar; Md. Sakhawat Hossen; Salimur Choudhury (J. Ambient Intell. Humaniz. Comput., 2019)

Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy X. Huang (Canadian AI, 2020)

WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (COLING, 2020)

Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. - Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Enamul Hoque (LREC, 2020)

Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (CoRR, 2020)

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)

Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. - Md. Tahmid Rahman Laskar; Jimmy Xiangji Huang; Vladan Smetana; Chris Stewart; Kees Pouw; Aijun An; Stephen Chan; Lei Liu 047 (ACM Trans. Cyber Phys. Syst., 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)

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization. - Md. Tahmid Rahman Laskar; Enamul Hoque; Jimmy Xiangji Huang (Comput. Linguistics, 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)

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 Xiangji Huang (ACL (Findings), 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 (ACL (industry), 2023)

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 (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 (Canadian AI, 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 Xiangji Huang (BioNLP@ACL, 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)

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 Xiangji Huang (EMNLP (Findings), 2023)

Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization. - Ridwan Mahbub; Ifrad Khan; Samiha Anuva; Md Shahriar; Md. Tahmid Rahman Laskar; Sabbir Ahmed (EMNLP, 2023)

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 006 (Comput. Hum. Behav., 2023)

CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia. - Md. Tahmid Rahman Laskar; Mizanur Rahman; Israt Jahan; Enamul Hoque; Jimmy Huang 001 (CoRR, 2023)

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 (CoRR, 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)

BenLLM-Eval: 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 (LREC/COLING, 2024)

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

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 (EMNLP (Findings), 2024)

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 001; Md. Rizwan Parvez; Enamul Hoque; Shafiq Joty; et al. (EMNLP, 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 (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)

A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks. - Israt Jahan; Md. Tahmid Rahman Laskar; Chun Peng; Jimmy Xiangji Huang (Comput. Biol. Medicine, 2024)

Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs. - Mohammed Saidul Islam; Raian Rahman; Ahmed Masry; Md. Tahmid Rahman Laskar; Mir Tafseer Nayeem; Enamul Hoque (CoRR, 2024)

Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. - Jiajia Wang; Jimmy Xiangji Huang; Xinhui Tu; Junmei Wang; Angela Jennifer Huang; Md. Tahmid Rahman Laskar; Amran Bhuiyan (ACM Comput. Surv., 2024)

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 001 (ACL (1), 2025)

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; et al. (ACL (Findings), 2025)

Evaluating the Effectiveness of Cost-Efficient Large Language Models in Benchmark Biomedical Tasks. - Israt Jahan; Md. Tahmid Rahman Laskar; Chun Peng; Jimmy Huang 001 (Canadian AI, 2025)

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

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 (CoRR, 2025)

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 001 (CoRR, 2025)

Evolution of ReID: From Early Methods to LLM Integration. - Amran Bhuiyan; Mizanur Rahman; Md. Tahmid Rahman Laskar; Aijun An; Jimmy Xiangji Huang (CoRR, 2025)

Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text. - Mizanur Rahman; Md. Tahmid Rahman Laskar; Shafiq Joty; Enamul Hoque (CoRR, 2025)

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)

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)