3 papers
cs.CL2025
SpiralThinker: Latent Reasoning through an Iterative Process with Text-Latent Interleaving
Shengmin Piao, Sanghyun Park
Recent advances in large reasoning models have been driven by reinforcement learning and test-time scaling, accompanied by growing interest in latent rather than purely textual rea…
cs.CL2025
LitE-SQL: A Lightweight and Efficient Text-to-SQL Framework with Vector-based Schema Linking and Execution-Guided Self-Correction
Shengmin Piao, Jieun Lee, Sanghyun Park
The Text-to-SQL task translates natural language questions into SQL queries, enabling intuitive database interaction for non-experts. While recent methods leveraging Large Language…
cs.CL2024
TinyThinker: Distilling Reasoning through Coarse-to-Fine Knowledge Internalization with Self-Reflection
Shengmin Piao, Sanghyun Park
Large Language Models exhibit impressive reasoning capabilities across diverse tasks, motivating efforts to distill these capabilities into smaller models through generated reasoni…