Sandipan Dandapat
37 papers · 2007–2025 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(21)
Natural Language Processing
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Artificial Intelligence
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Resources & Methods
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Learning Types · Machine Learning
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Deep Learning
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Keywords
large language model
(7)
multilingual model
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performance prediction
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multilingual language model
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cross-lingual transfer
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zero-shot transfer
(3)
low-resource language
(3)
machine translation
(3)
few-shot learning
(3)
feature selection
(2)
multilingual evaluation
(2)
multilingual transformer
(2)
evaluation benchmark
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language model
(2)
safety evaluation
(2)
zero-shot learning
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language modeling
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transfer learning
(2)
neural machine translation
(2)
synthetic data generation
(2)
Papers
Comparing Language Models of Different Scales for Security-Focused Tabular Query Generation and Reasoning
IJCNLP 2025
Enhancing Zero-shot Chain of Thought Prompting via Uncertainty-Guided Strategy Selection
COLING 2025
LITMUS++ : An Agentic System for Predictive Analysis of Low-Resource Languages Across Tasks and Models
IJCNLP 2025
LLM Safety for Children
NAACL 2025
PROTECT: Policy-Related Organizational Value Taxonomy for Ethical Compliance and Trust
ACL 2025
Rethinking Tokenization for Rich Morphology: The Dominance of Unigram over BPE and Morphological Alignment
IJCNLP 2025
SAGE: A Generic Framework for LLM Safety Evaluation
EMNLP 2025
INMT-Lite: Accelerating Low-Resource Language Data Collection via Offline Interactive Neural Machine Translation
COLING 2024
Uncovering Stereotypes in Large Language Models: A Task Complexity-based Approach
EACL 2024
DiTTO: A Feature Representation Imitation Approach for Improving Cross-Lingual Transfer
EACL 2023
Do Language Models Have a Common Sense regarding Time? Revisiting Temporal Commonsense Reasoning in the Era of Large Language Models
EMNLP 2023
Performance and Risk Trade-offs for Multi-word Text Prediction at Scale
EACL 2023
Problematic Webpage Identification: A Trilogy of Hatespeech, Search Engines and GPT
ACL 2023
Beyond Static models and test sets: Benchmarking the potential of pre-trained models across tasks and languages
ACL 2022
”Diversity and Uncertainty in Moderation” are the Key to Data Selection for Multilingual Few-shot Transfer
NAACL 2022
LITMUS Predictor: An AI Assistant for Building Reliable, High-Performing and Fair Multilingual NLP Systems
AAAI 2022
Multilingual CheckList: Generation and Evaluation
AACL 2022
Multi Task Learning For Zero Shot Performance Prediction of Multilingual Models
ACL 2022
On the Calibration of Massively Multilingual Language Models
EMNLP 2022
On the Economics of Multilingual Few-shot Learning: Modeling the Cost-Performance Trade-offs of Machine Translated and Manual Data
NAACL 2022
The SUMEval 2022 Shared Task on Performance Prediction of Multilingual Pre-trained Language Models
AACL 2022
Too Brittle to Touch: Comparing the Stability of Quantization and Distillation towards Developing Low-Resource MT Models
EMNLP 2022
Vector Space Interpolation for Query Expansion
AACL 2022
A Case Study of Efficacy and Challenges in Practical Human-in-Loop Evaluation of NLP Systems Using Checklist
EACL 2021
GLUECoS: An Evaluation Benchmark for Code-Switched NLP
ACL 2020
INMT: Interactive Neural Machine Translation Prediction
EMNLP 2019
Processing and Understanding Mixed Language Data
EMNLP 2019
Processing and Understanding Mixed Language Data
IJCNLP 2019
Identifying Transferable Information Across Domains for Cross-domain Sentiment Classification
ACL 2018
Language Modeling for Code-Mixing: The Role of Linguistic Theory based Synthetic Data
ACL 2018
SODA:Service Oriented Domain Adaptation Architecture for Microblog Categorization
NAACL 2016
TMTprime: A Recommender System for MT and TM Integration
NAACL 2013
Approximate Sentence Retrieval for Scalable and Efficient Example-Based Machine Translation
COLING 2012
Large-Coverage Root Lexicon Extraction for Hindi
EACL 2009
A Hybrid Named Entity Recognition System for South and South East Asian Languages
IJCNLP 2008
Bengali and Hindi to English CLIR Evaluation
IJCNLP 2008
Automatic Part-of-Speech Tagging for Bengali: An Approach for Morphologically Rich Languages in a Poor Resource Scenario
ACL 2007