Kunal Chakma

Employment

• National Institute of Technology Agartala Assistant Professor
  2004 - Present

Education

Education history is unavailable.

Projects & Funding

Projects & funding information is unavailable.

Publications (27)

• Adaptive Query Performance Prediction for Retrieval-Augmented Generation: Bridging Retrieval Quality and Generation Relevance
  ACM Transactions on Information Systems 2026 DOI: 10.1145/3827605
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• Adaptive Trans‐Residual Long Short Term Memory Model for Automatic Text Summarization in Telugu
  Computational Intelligence 2026 DOI: 10.1111/coin.70233
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• Adaptive Hybrid Retrieval-Augmented Generation for Document-Based QA: Implementation and Multi-metric Evaluation
  2026 DOI: 10.1007/978-3-032-18480-1_48
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• Closing the Lexical-Semantic Divide: A Unified Approach for Retrieval-Augmented Generation
  2026 DOI: 10.1007/978-3-032-17181-8_13
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• Enhancing Readability of Telugu Text Summarization Using Multi-scale Attention and Bio-inspired Optimization
  ACM Transactions on Asian and Low-Resource Language Information Processing 2026 DOI: 10.1145/3831598
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• A Dataset Development for Fake News Detection in Low-Resource Romanized Manipuri
  Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025 2025 DOI: 10.1109/ISACC65211.2025.10969315
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• Biomedical Lay Summarization: Research Progress and Challenges
  Proceedings of 2025 3rd International Conference on Intelligent Systems Advanced Computing and Communication Isacc 2025 2025 DOI: 10.1109/ISACC65211.2025.10969258
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• An innovative Telugu text summarization framework using the pointer network and optimized attention layer
  Multimedia Tools and Applications 2024 DOI: 10.1007/s11042-024-19187-8
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• A Comparative Analysis of Sentiment Analysis and Emotion Detection Problems on Texts
  Intelligent Data Engineering and Analytics 2023 DOI: 10.1007/978-981-19-7524-0_41
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• A Comparative Analysis of Machine Learning Based Sentiment Analysis
  Communications in Computer and Information Science 2023 DOI: 10.1007/978-3-031-22485-0_12
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