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Md. Tahmid Rahman Laskar
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2020 – today
- 2024
- [j6]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: 108189 (2024) - [j5]Jiajia Wang
Utilizing BERT for Information Retrieval: Survey, Applications, Resources, and Challenges. ACM Comput. Surv. 56(7): 185:1-185:33 (2024) - [c22]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: 2238-2252 - [c21]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. EMNLP (Industry Track) 2024: 1140-1151 - [c20]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. EMNLP (Findings) 2024: 3334-3368 - [c19]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:
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. EMNLP 2024: 13785-13816 - [c18]Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty:
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts. EMNLP 2024: 19253-19286 - [c17]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? NAACL (Industry Track) 2024: 387-394 - [i25]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 abs/2402.00841 (2024) - [i24]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 abs/2403.00067 (2024) - [i23]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 abs/2403.00784 (2024) - [i22]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 abs/2406.00257 (2024) - [i21]Md. Tahmid Rahman Laskar, Sawsan Alqahtani, M. Saiful Bari
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations. CoRR abs/2407.04069 (2024) - [i20]Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Md. Rizwan Parvez, Enamul Hoque, Shafiq Joty:
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts. CoRR abs/2408.05346 (2024) - 2023
- [j4]Mohsinul Kabir
DEPTWEET: A typology for social media texts to detect depression severities. Comput. Hum. Behav. 139: 107503 (2023) - [c16]Md. Tahmid Rahman Laskar, M. Saiful Bari
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets. ACL (Findings) 2023: 431-469 - [c15]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: 599-607 - [c14]Raian Rahman
ChartSumm: A Comprehensive Benchmark for Automatic Chart Summarization of Long and Short Summaries. Canadian AI 2023 - [c13]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 - [c12]Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Xiangji Huang:
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. BioNLP@ACL 2023: 326-336 - [c11]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: 343-352 - [c10]Md. Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Xiangji Huang:
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization. EMNLP (Findings) 2023: 10245-10255 - [c9]Ridwan Mahbub
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization. EMNLP 2023: 14878-14886 - [i19]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 abs/2304.13620 (2023) - [i18]Md. Tahmid Rahman Laskar, Mizanur Rahman, Israt Jahan, Enamul Hoque, Jimmy Huang:
CQSumDP: A ChatGPT-Annotated Resource for Query-Focused Abstractive Summarization Based on Debatepedia. CoRR abs/2305.06147 (2023) - [i17]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 abs/2305.17619 (2023) - [i16]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 abs/2305.18486 (2023) - [i15]Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Xiangji Huang:
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers. CoRR abs/2306.04504 (2023) - [i14]Mohsinul Kabir, Mohammed Saidul Islam, Md. Tahmid Rahman Laskar, Mir Tafseer Nayeem, M. Saiful Bari
BenLLMEval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP. CoRR abs/2309.13173 (2023) - [i13]Israt Jahan, Md. Tahmid Rahman Laskar, Chun Peng, Jimmy Xiangji Huang:
A Comprehensive Evaluation of Large Language Models on Benchmark Biomedical Text Processing Tasks. CoRR abs/2310.04270 (2023) - [i12]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 abs/2310.19233 (2023) - [i11]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 abs/2311.00681 (2023) - 2022
- [j3]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): 279-320 (2022) - [c8]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: 96-100 - [c7]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: 484-491 - [c6]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: 344-352 - [c5]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: 3363-3367 - [i10]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 abs/2205.04438 (2022) - [i9]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 abs/2209.13736 (2022) - [i8]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 abs/2210.05372 (2022) - [i7]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 abs/2210.13401 (2022) - [i6]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 abs/2211.01354 (2022) - 2021
- [j2]Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang
Extending Isolation Forest for Anomaly Detection in Big Data via K-Means. ACM Trans. Cyber Phys. Syst. 5(4): 41:1-41:26 (2021) - [c4]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: 168-174 - [i5]Md. Tahmid Rahman Laskar, Jimmy X. 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 abs/2104.13190 (2021) - [i4]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 abs/2110.00560 (2021) - [i3]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
Domain Adaptation with Pre-trained Transformers for Query Focused Abstractive Text Summarization. CoRR abs/2112.11670 (2021) - 2020
- [c3]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy X. Huang:
Query Focused Abstractive Summarization via Incorporating Query Relevance and Transfer Learning with Transformer Models. Canadian AI 2020: 342-348 - [c2]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: 5647-5654 - [c1]Md. Tahmid Rahman Laskar, Jimmy Xiangji Huang
Contextualized Embeddings based Transformer Encoder for Sentence Similarity Modeling in Answer Selection Task. LREC 2020: 5505-5514 - [i2]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 abs/2011.01421 (2020) - [i1]Md. Tahmid Rahman Laskar, Enamul Hoque, Jimmy Xiangji Huang:
Utilizing Bidirectional Encoder Representations from Transformers for Answer Selection. CoRR abs/2011.07208 (2020)
2010 – 2019
- 2019
- [j1]Ahnaf Munir
A localized fault tolerant load balancing algorithm for RFID systems. J. Ambient Intell. Humaniz. Comput. 10(11): 4305-4317 (2019)
Coauthor Index
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last updated on 2024-11-22 20:39 CET by the dblp team
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