Introduces a triangulation-based metric to quantify lexical shifts attributable to preference tuning without requiring manual curation of examples.
China’s cheap, open AI model DeepSeek thrills scientists
2 Pith papers cite this work. Polarity classification is still indexing.
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ChatGPT o3-mini achieves 54.5% success on medium Codeforces tasks versus 18.1% for DeepSeek-R1, with both models performing similarly on easy tasks and poorly on hard ones.
citing papers explorer
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Isolating LLM Lexical Bias: A Curation-Free Triangulated Metric for Preference-Stage Learning
Introduces a triangulation-based metric to quantify lexical shifts attributable to preference tuning without requiring manual curation of examples.
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A Showdown of ChatGPT vs DeepSeek in Solving Programming Tasks
ChatGPT o3-mini achieves 54.5% success on medium Codeforces tasks versus 18.1% for DeepSeek-R1, with both models performing similarly on easy tasks and poorly on hard ones.