Papers by Shambhavi Shambhavi

2 papers
Just a Scratch: Enhancing LLM Capabilities for Self-harm Detection through Intent Differentiation and Emoji Interpretation (2025.acl-long)

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Challenge: Self-harm detection on social media is critical for early intervention and mental health support, yet remains challenging due to the subtle, context-dependent nature of such expressions.
Approach: They propose a framework to distinguish intent through nuanced language–emoji interplay.
Outcome: The proposed framework improves self-harm detection and explanation tasks on three state-of-the-art LLMs.
ColMate: Contrastive Late Interaction and Masked Text for Multimodal Document Retrieval (2025.emnlp-industry)

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Challenge: Existing methods for multimodal document retrieval often replicate techniques developed for text-only retrieval.
Approach: They propose a document retrieval model that bridges the gap between multimodal representation learning and document retrievals by providing external knowledge as context.
Outcome: The proposed model achieves 3.61% improvement over existing retrieval models on the ViDoRe V2 benchmark, showing stronger generalization to out-of-domain benchmarks.

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