Papers by Roshan Santhosh

2 papers
Decomposition-Enhanced Training for Post-Hoc Attributions in Language Models (2026.eacl-long)

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Challenge: Existing methods for extractive QA struggle in multi-hop, abstractive, and semi-extractive settings.
Approach: They propose a method that prompts models to produce answer decompositions as intermediate reasoning steps.
Outcome: The proposed method outperforms existing methods and matches or exceeds state-of-the-art frontier models.
Inducing Generalizable and Interpretable Lexica (2022.findings-emnlp)

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Challenge: Lexica are widely used as generalizable language features to predict sentiment, emotions, mental health, and personality.
Approach: They propose to induce lexica using context-oblivious and context-aware approaches and compare their performance using crowd-worker assessment.
Outcome: The proposed models can be induced using context-oblivious and context-aware approaches and evaluate their quality using crowd-worker assessment.

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