Think2SQL: Bridging the Reasoning Gap in Text-to-SQL for Small LLMs Leveraging RL with our reward mechanism, we push Qwen-Coder-2.5 7B to performance on par with much larger LLMs (>400B) on the BIRD dataset! 🤯 Model: huggingface.co/simone-papic... Paper: huggingface.co/papers/2504.... Details 👇
Simone Papicchio
@spapicchio.bsky.social
Second year PhD Student @ PoliTO & EURECOM in NLP and Databases
🚀 Had an amazing time at the @ellisamsterdam.bsky.social for the Workshop on Representation Learning and Generative Models for Structured Data, presenting how ambiguity impacts performance in Text2SQL evaluation 😶🌫️ 1/3 🧵