Papers by Vishal Sharma

2 papers
Adaptive LLM Routing under Budget Constraints (2025.findings-emnlp)

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Challenge: Large Language Models (LLMs) have revolutionized natural language processing, but their varying capabilities and costs pose challenges in practical applications.
Approach: They propose to use LLM routing as a contextual bandit problem to enable adaptive decision-making . they use offline human preference data to refine the embeddings through online bandit feedback .
Outcome: The proposed model is based on a contextual bandit problem enabling adaptive decision-making . it learns from offline human preference data and refines it through online bandit feedback.
Search Query Spell Correction with Weak Supervision in E-commerce (2023.acl-industry)

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Challenge: Misspelled search queries can lead to empty or irrelevant products . only 29% of the population in india is proficient in english .
Approach: They propose to group spell errors into error classes and then leverage a Transformer model for contextual spell correction.
Outcome: The proposed model improves on tough spell mistakes without human intervention without human input.

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