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cs.LG2025
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression
Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad +3
Recent thinking models are capable of solving complex reasoning tasks by scaling test-time compute, but this scaling should be allocated in line with task difficulty. On one hand,…
cs.LG2025
Self-Evolved Preference Optimization for Enhancing Mathematical Reasoning in Small Language Models
Joykirat Singh, Tanmoy Chakraborty, Akshay Nambi
Large language models (LLMs) have significantly improved their reasoning capabilities; however, they still struggle with complex multi-step mathematical problem-solving due to erro…