Papers by Faisal Tareque Shohan

2 papers
Simple Agents, Biased Judges: Efficient Multi-Party Dialogue Generation & The Evaluation Gap (2026.acl-long)

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Challenge: Multiparty social dialogue is difficult to formalize and expensive to evaluate, especially at scale.
Approach: They propose a lightweight and controllable multi-party dialoguegeneration framework as an experimental instrument for studying generation and evaluation in social interaction.
Outcome: The proposed framework shows that human judgments against state-of-the-art LLM judges are consistent with human preferences for naturalness, engagingness, and overall quality in multi-party social dialogue.
Shironaam: Bengali News Headline Generation using Auxiliary Information (2023.eacl-main)

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Challenge: Automated headline generation systems have the potential to assist editors in finding interesting headlines to attract visitors or readers.
Approach: They propose to use Bengali news article-headline pairings with auxiliary data to better model headline generation using pre-trained language models.
Outcome: The proposed model improves on a Bengali news headline generation dataset by 3 to 10 percentage points over baselines.

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