Md Tahmid Rahman Laskar
Scholar

Md Tahmid Rahman Laskar

Google Scholar ID: qpnsWPoAAAAJ
Senior Applied Scientist, Dialpad
Large Language ModelsNatural Language ProcessingDeep LearningQuestion AnsweringSummarization
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Citations & Impact
All-time
Citations
1,449
 
H-index
18
 
i10-index
29
 
Publications
20
 
Co-authors
42
list available
Contact
No contact links provided.
Publications
22 items
Beyond Text-to-SQL: An Agentic LLM System for Governed Enterprise Analytics APIs
2026
Cited
0
From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents
2026
Cited
0
Lost in Translation: Do LVLM Judges Generalize Across Languages?
2026
Cited
0
Assessing the Quality of Mental Health Support in LLM Responses through Multi-Attribute Human Evaluation
2026
Cited
0
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
2026
Cited
0
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
arXiv.org · 2026
Cited
0
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
2025
Cited
0
Beyond Fertility: Analyzing STRR as a Metric for Multilingual Tokenization Evaluation
2025
Cited
0
Resume (English only)
Co-authors
42 total
Professor Xiangji Huang (Jimmy Huang)
Professor Xiangji Huang (Jimmy Huang)
Tier 1 York Research Chair | CAE Fellow | IEEE Fellow | AAIA Fellow | ACM Distinguished Scientist
Enamul Hoque Prince
Enamul Hoque Prince
Associate Professor, York University
Co-author 3
Co-author 3
Shafiq Joty
Shafiq Joty
Sr. Research Director at Salesforce Research, Assoc. Prof. at NTU (on leave)
Mizanur Rahman
Mizanur Rahman
Lead Data Scientist, Royal Bank of Canada
Co-author 6
Co-author 6
Md Amran Hossen Bhuiyan
Md Amran Hossen Bhuiyan
Postdoctoral Research Fellow, School of Information Technology, York University, Canada
M Saiful Bari
M Saiful Bari
Applied Scientist, Amazon AGI