Papers by Priya Mishra

4 papers
Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs (2026.eacl-long)

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Challenge: Large language models are capable of creative generation tasks but prominently for high-resource languages.
Approach: They propose to use large language models for structured poetry generation in Sanskrit . their constrained decoding method achieves 99.86% syntactic accuracy .
Outcome: The proposed model outperforms the existing model in generating metrically valid Sanskrit poetry.
GuideQ: Framework for Guided Questioning for progressive informational collection and classification (2025.findings-naacl)

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Challenge: Using a new multilingual dataset, we examine how LLMs can be used to represent factual knowledge across languages.
Approach: They propose a methodology to measure the extent of representation sharing across languages by repurposing knowledge editing methods.
Outcome: The proposed model can answer a question consistently across languages and can store the answers in a shared representation for several languages.
e-THERAPIST: I suggest you to cultivate a mindset of positivity and nurture uplifting thoughts (2023.emnlp-main)

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Challenge: Existing mental health workforce is struggling to meet the needs adequately.
Approach: They propose a novel polite interpersonal psychotherapy dialogue system that is annotated at two levels: dialogue-level and utterance-level.
Outcome: The proposed system can address depression, anxiety, schizophrenia and other mental health issues.
PAL to Lend a Helping Hand: Towards Building an Emotion Adaptive Polite and Empathetic Counseling Conversational Agent (2023.acl-long)

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Challenge: The social stigma associated with mental illness prevents individuals from addressing their issues and getting assistance.
Approach: They propose to build a Polite and empAthetic conversational agent PAL to lay down the counseling support to substance addicts and crime victims.
Outcome: The proposed agent is scalable and can be easily modified with different modules of preference models as per need.

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