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cs.CL2024
Unleashing LLM Reasoning Capability via Scalable Question Synthesis from Scratch
Yuyang Ding, Xinyu Shi, Xiaobo Liang +4
Improving the mathematical reasoning capabilities of Large Language Models (LLMs) is critical for advancing artificial intelligence. However, access to extensive, diverse, and high…
cs.CL2024
Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
Xiaobo Liang, Haoke Zhang, Helan hu +3
The rapid advancement of large language models has given rise to a plethora of applications across a myriad of real-world tasks, mainly centered on aligning with human intent. Howe…