Papers by Srinivasan Parthasarathy

3 papers
(CPER) From Guessing to Asking: An Approach to Resolving Persona Knowledge Gap in LLMs during Multi-Turn Conversations (2025.naacl-srw)

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Challenge: Existing methods for identifying and resolving persona knowledge gaps are underexplored.
Approach: They propose a framework that dynamically detects and resolves persona knowledge gaps using intrinsic uncertainty quantification and feedback-driven refinement.
Outcome: The proposed framework detects and resolves persona knowledge gaps using intrinsic uncertainty quantification and feedback-driven refinement on two real-world datasets: CCPE-M for preferential movie recommendations and ESConv for mental health support.
SYSML: StYlometry with Structure and Multitask Learning: Implications for Darknet Forum Migrant Analysis (2021.emnlp-main)

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Challenge: Crypto markets are forums where goods and services are exchanged between parties who use encryption to conceal their identities.
Approach: They propose a stylometry-based multitask learning approach for natural language and model interactions using graph embeddings.
Outcome: The proposed approach outperforms existing methods in four darknet forums with a lift of up to 2.5X on the mean retrieval rank and 2X on recall@10.
Interpretable Multi-headed Attention for Abstractive Summarization at Controllable Lengths (2020.coling-main)

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Challenge: Abstractive summarization at controllable lengths is a challenging task in natural language processing . high variance in screen-sizes often require extensive human supervision to perform these modifications.
Approach: They propose a supervised method to construct abstractive summaries of a text document at controllable lengths using an interpretable multi-headed attention mechanism.
Outcome: The proposed method outperforms baselines on two low-resource datasets in English by 14.70%.

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