Papers by Anirban Saha Anik

2 papers
Speaking at the Right Level: Literacy-Controlled Counterspeech Generation with RAG-RL (2025.findings-emnlp)

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Challenge: Existing approaches produce uniform responses, ignoring that health literacy levels affect the accessibility and effectiveness of counterspeech.
Approach: They propose a Controlled-Literacy framework that generates counterspeech adapted to different health literacy levels.
Outcome: The proposed framework outperforms baselines by generating more accessible counterspeech to health misinformation.
A Dynamic Fusion Model for Consistent Crisis Response (2025.findings-emnlp)

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Challenge: a critical yet often overlooked factor is the consistency of response style . few studies have explored methods for maintaining stylistic consistency across generated responses .
Approach: They propose a metric for evaluating style consistency and introduce a method for fusion-based generation .
Outcome: The proposed method outperforms baselines in response quality and stylistic uniformity.

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