Papers by Parag Dakle

2 papers
BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational Algebra (2024.findings-acl)

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Challenge: Existing hybrid question answering systems use a "prompt-and-pray" paradigm . context size limitations limit ability of many transformer-based LLMs to fit into a given prompt .
Approach: They propose a superset of SQLite to act as a unified dialect for orchestrating reasoning across unstructured and structured data.
Outcome: The proposed framework scales to massive datasets and improves performance while using 35% fewer tokens.
Self-training Strategies for Sentiment Analysis: An Empirical Study (2024.findings-eacl)

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Challenge: Sentiment analysis is a crucial task in natural language processing.
Approach: They propose to leverage a small amount of labeled and unlabeled data to train models with self-training.
Outcome: The proposed method improves the performance of small language models in several few-shot settings while reducing the cost of annotations.

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