Md Tahmid Rahman Laskar
36 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (6) π Cross-Pollinator (11)
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Cross-Pollinator
(11)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(71)
π¬
Deep Specialist
(12)
π€
Dynamic Duo
(13)
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Keyword Champion
(2)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(144)
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Century Club
(32)
π₯
Unstoppable
(6)
β
The Questioner
(4)
β‘
Prolific Year
(8)
Conferences
EMNLP (18)
ACL (6)
COLING (4)
EACL (3)
NAACL (2)
AACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
large language model
(15)
text summarization
(8)
question answering
(5)
vision-language model
(4)
zero-shot learning
(4)
model evaluation
(4)
benchmark evaluation
(4)
language model
(3)
visual reasoning
(3)
meeting summarization
(3)
text generation
(3)
domain adaptation
(3)
transfer learning
(3)
sentiment analysis
(3)
knowledge base
(2)
text classification
(2)
named entity recognition
(2)
prompt engineering
(2)
model compression
(2)
multimodal learning
(2)
Papers
When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation
EACL 2026
Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models
EACL 2026
Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization
EACL 2026
Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
ACL 2025
ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering
ACL 2025
bnContextQA: Benchmarking Long-Context Question Answering and Challenges in Bangla
AACL 2025
LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models
COLING 2025
bnContextQA: Benchmarking Long-Context Question Answering and Challenges in Bangla
IJCNLP 2025
Position: Beyond Assistance β Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care
ICML 2025
DACP: Domain-Adaptive Continual Pre-Training of Large Language Models for Phone Conversation Summarization
EMNLP 2025
Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
EMNLP 2025
DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations
EMNLP 2025
Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text
EMNLP 2025
AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents
EMNLP 2025
From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text
EMNLP 2025
Improving Automatic Evaluation of Large Language Models (LLMs) in Biomedical Relation Extraction via LLMs-as-the-Judge
ACL 2025
A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations
EMNLP 2024
BenLLM-Eval: A Comprehensive Evaluation into the Potentials and Pitfalls of Large Language Models on Bengali NLP
COLING 2024
DataNarrative: Automated Data-Driven Storytelling with Visualizations and Texts
EMNLP 2024
Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization
EMNLP 2024
Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning
EMNLP 2024
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization?
NAACL 2024
Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs
EMNLP 2023
BanglaCHQ-Summ: An Abstractive Summarization Dataset for Medical Queries in Bangla Conversational Speech
EMNLP 2023
Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization
EMNLP 2023
Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective
EMNLP 2023
Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization
EMNLP 2023
A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets
ACL 2023
AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching
ACL 2023
Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers
ACL 2023
BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations
NAACL 2022
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts
COLING 2022
Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop
EMNLP 2022
Entity-level Sentiment Analysis in Contact Center Telephone Conversations
EMNLP 2022
Improving Punctuation Restoration for Speech Transcripts via External Data
EMNLP 2021
WSL-DS: Weakly Supervised Learning with Distant Supervision for Query Focused Multi-Document Abstractive Summarization
COLING 2020