most citedInfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2025

Quantization Meets Reasoning: Exploring LLM Low-Bit Quantization Degradation for Mathematical Reasoning

Zhen Li, Yupeng Su, Runming Yang +5

Large language models have achieved significant advancements in complex mathematical reasoning benchmarks, such as MATH. However, their substantial computational requirements prese…

cs.CL2025★ 2 cited

InfiR : Crafting Effective Small Language Models and Multimodal Small Language Models in Reasoning

Congkai Xie, Shuo Cai, Wenjun Wang +17

Large Language Models (LLMs) and Multimodal Large Language Models (MLLMs) have made significant advancements in reasoning capabilities. However, they still face challenges such as…