Md. Tahmid Rahman Laskar

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 47

Top Topics

Comprehensive Evaluation

Top Venues

EMNLP (Industry Track)

Publications

Xue-Yong Fu, Md. Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, Shashi Bhushan TN
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? CoRR (2024)
Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari, Enamul Hoque
BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP. LREC/COLING (2024)
Jiajia Wang, Jimmy Xiangji Huang, Xinhui Tu, Junmei Wang, Angela Jennifer Huang, Md. Tahmid Rahman Laskar, Amran Bhuiyan
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. ACM Comput. Surv. 56 (7) (2024)
Md. Tahmid Rahman Laskar, Elena Khasanova, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization. CoRR (2024)
Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Xiangji Huang
A comprehensive evaluation of large Language models on benchmark biomedical text processing tasks. Comput. Biol. Medicine 171 (2024)
Jiajia Wang, Jimmy X. Huang, Xinhui Tu, Junmei Wang, Angela Jennifer Huang, Md. Tahmid Rahman Laskar, Amran Bhuiyan
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. CoRR (2024)
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 Xiangji Huang
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. CoRR (2024)
Mohammed Saidul Islam, Raian Rahman, Ahmed Masry, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, Enamul Hoque
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning? An Extensive Investigation into the Capabilities and Limitations of LVLMs. CoRR (2024)
Md. Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective. EMNLP (Industry Track) (2023)
Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari, Enamul Hoque
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP. CoRR (2023)
Xue-Yong Fu, Md. Tahmid Rahman Laskar, Cheng Chen, Shashi Bhushan TN
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs. CoRR (2023)
Md. Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy X. Huang
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization. EMNLP (Findings) (2023)
Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, Md. Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, Abu Raihan Mostofa Kamal
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries. Canadian AI (2023)
Ridwan Mahbub, Ifrad Khan, Samiha Anuva, Md Shahriar, Md. Tahmid Rahman Laskar, Sabbir Ahmed
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization. EMNLP (2023)
Md. Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Mahsa Azizi, Shashi Bhushan TN, Simon Corston-Oliver
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching. ACL (industry) (2023)
Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy X. Huang
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. BioNLP@ACL (2023)
Md. Tahmid Rahman Laskar, M. Saiful Bari, Mizanur Rahman, Md Amran Hossen Bhuiyan, Shafiq Joty, Jimmy X. Huang
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. ACL (Findings) (2023)
Md. Tahmid Rahman Laskar, M. Saiful Bari, Mizanur Rahman, Md Amran Hossen Bhuiyan, Shafiq Joty, Jimmy Xiangji Huang
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. CoRR (2023)
Md. Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy X. Huang
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia. CoRR (2023)
Md Mezbaur Rahman, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Azam Hossain, Abu Raihan Mostofa Kamal
Multihop Factual Claim Verification Using Natural Language Prompts. Canadian AI (2023)
Raian Rahman, Rizvi Hasan, Abdullah Al Farhad, Md. Tahmid Rahman Laskar, Md. Hamjajul Ashmafee, Abu Raihan Mostofa Kamal
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries. CoRR (2023)
Mohsinul Kabir, Tasnim Ahmed, Md. Bakhtiar Hasan, Md. Tahmid Rahman Laskar, Tarun Kumar Joarder, Hasan Mahmud, Kamrul Hasan
DEPTWEET: A typology for social media texts to detect depression severities. Comput. Hum. Behav. 139 (2023)
Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy X. Huang
A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks. CoRR (2023)
Md. Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Mahsa Azizi, Shashi Bhushan TN, Simon Corston-Oliver
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching. CoRR (2023)
Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy X. Huang
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. CoRR (2023)
Md. Tahmid Rahman Laskar, Xue-Yong Fu, Cheng Chen, Shashi Bhushan TN
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective. CoRR (2023)
Mohsinul Kabir, Tasnim Ahmed, Md. Bakhtiar Hasan, Md. Tahmid Rahman Laskar, Tarun Kumar Joarder, Hasan Mahmud, Md. Kamrul Hasan
DEPTWEET: A Typology for Social Media Texts to Detect Depression Severities. CoRR (2022)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN
Entity-level Sentiment Analysis in Contact Center Telephone Conversations. CoRR (2022)
Md. Tahmid Rahman Laskar, Cheng Chen, Xue-Yong Fu, Shashi Bhushan TN
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop. CoRR (2022)
Md. Tahmid Rahman Laskar, Cheng Chen, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver
An Auto Encoder-based Dimensionality Reduction Technique for Efficient Entity Linking in Business Phone Conversations. SIGIR (2022)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts. CoRR (2022)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization. Comput. Linguistics 48 (2) (2022)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shayna Gardiner, Pooja Hiranandani, Shashi Bhushan TN
Entity-level Sentiment Analysis in Contact Center Telephone Conversations. EMNLP (Industry Track) (2022)
Md. Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations. CoRR (2022)
Md. Tahmid Rahman Laskar, Cheng Chen, Aliaksandr Martsinovich, Jonathan Johnston, Xue-Yong Fu, Shashi Bhushan TN, Simon Corston-Oliver
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations. NAACL-HLT (Industry Papers) (2022)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts. W-NUT@COLING (2022)
Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. ACM Trans. Cyber Phys. Syst. 5 (4) (2021)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization. CoRR (2021)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
Improving Punctuation Restoration for Speech Transcripts via External Data. CoRR (2021)
Md. Tahmid Rahman Laskar, Jimmy Huang, Vladan Smetana, Chris Stewart, Kees Pouw, Aijun An, Stephen Chan, Lei Liu
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. CoRR (2021)
Xue-Yong Fu, Cheng Chen, Md. Tahmid Rahman Laskar, Shashi Bhushan TN, Simon Corston-Oliver
Improving Punctuation Restoration for Speech Transcripts via External Data. W-NUT (2021)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. CoRR (2020)
Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang, Enamul Hoque
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. LREC (2020)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. CoRR (2020)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Huang
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. Canadian Conference on AI (2020)
Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization. COLING (2020)
Ahnaf Munir, Md. Tahmid Rahman Laskar, Md Sakhawat Hossen, Salimur Choudhury
A localized fault tolerant load balancing algorithm for RFID systems. J. Ambient Intell. Humaniz. Comput. 10 (11) (2019)