Papers by Satyadev Ahlawat
MarathiEmoExplain: A Dataset for Sentiment, Emotion, and Explanation in Low-Resource Marathi (2025.findings-emnlp)
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| Challenge: | Marathi is the third most widely spoken language in India with over 83 million native speakers . available Marath datasets are limited to coarse sentiment labels and lack fine-grained emotional categorization or interpretability through explanations. |
| Approach: | They propose to annotate Marathi sentences labeled with sentiment, emotion and a corresponding natural language justification. |
| Outcome: | The proposed dataset provides a benchmark for future research in multilingual and explainable NLP. |
Revisiting Evaluation of Question Answering Systems in Low-Resource Indic Languages: Bridging Human and Metric Alignment (2026.acl-short)
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| Challenge: | Evaluating Question Answering systems in low-resource Indic languages remains challenging due to the scarcity of annotated data and the lack of reliable evaluation metrics. |
| Approach: | They propose a language-based multi-aspect evaluation framework for question answering systems . the framework integrates semantic similarity, factual completeness, numerical accuracy and contextual relevance . |
| Outcome: | The proposed metric is evaluated across eight Indic-language QA tasks using multiple LLMs . Across all settings, it shows stronger agreement with human evaluation . |