Semantic Self-Consistency: Enhancing Language Model Reasoning via Semantic Weighting
While large language models (LLMs) have rapidly improved their performance on a broad number of tasks, they still often fall short on reasoning tasks. As LLMs become more integrated in diverse real-world tasks, advancing their reasoning capabilities is crucial to their effectiveness in nuanced, complex problems. Wang e...
Tim Knappe, Ryan Li, Ayushi Chauhan et al.
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