Md Tahmid Rahman Laskar

Aligning Text, Code, and Vision: A Multi-Objective Reinforcement Learning Framework for Text-to-Visualization EACL 2026 Stop Taking Tokenizers for Granted: They Are Core Design Decisions in Large Language Models EACL 2026 When Can We Trust LLMs in Mental Health? Large-Scale Benchmarks for Reliable LLM Evaluation EACL 2026 AI Knowledge Assist: An Automated Approach for the Creation of Knowledge Bases for Conversational AI Agents EMNLP 2025 bnContextQA: Benchmarking Long-Context Question Answering and Challenges in Bangla AACL 2025 ChartQAPro: A More Diverse and Challenging Benchmark for Chart Question Answering ACL 2025 DACIP-RC: Domain Adaptive Continual Instruction Pre-Training via Reading Comprehension on Business Conversations EMNLP 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 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 Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning? ACL 2025 LLM Evaluate: An Industry-Focused Evaluation Tool for Large Language Models COLING 2025 Position: Beyond Assistance – Reimagining LLMs as Ethical and Adaptive Co-Creators in Mental Health Care ICML 2025 Text2Vis: A Challenging and Diverse Benchmark for Generating Multimodal Visualizations from Text EMNLP 2025 Are Large Vision Language Models up to the Challenge of Chart Comprehension and Reasoning EMNLP 2024 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 Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? NAACL 2024 AI Coach Assist: An Automated Approach for Call Recommendation in Contact Centers for Agent Coaching ACL 2023 Are Large Language Models Reliable Judges? A Study on the Factuality Evaluation Capabilities of LLMs EMNLP 2023 A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets ACL 2023 BanglaCHQ-Summ: An Abstractive Summarization Dataset for Medical Queries in Bangla Conversational Speech EMNLP 2023 Building Real-World Meeting Summarization Systems using Large Language Models: A Practical Perspective EMNLP 2023 Can Large Language Models Fix Data Annotation Errors? An Empirical Study Using Debatepedia for Query-Focused Text Summarization EMNLP 2023 Evaluation of ChatGPT on Biomedical Tasks: A Zero-Shot Comparison with Fine-Tuned Generative Transformers ACL 2023 Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization EMNLP 2023 An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts COLING 2022 BLINK with Elasticsearch for Efficient Entity Linking in Business Conversations NAACL 2022 Entity-level Sentiment Analysis in Contact Center Telephone Conversations EMNLP 2022 Improving Named Entity Recognition in Telephone Conversations via Effective Active Learning with Human in the Loop 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