Lion and AdamW are compared for reranker fine-tuning, but the reported Lion gains are confounded by a 10x learning-rate difference and an inverted GPU-utilization metric.
The probabilistic relevance framework: Bm25 and beyond,
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Comparative Analysis of Lion and AdamW Optimizers for Cross-Encoder Reranking with MiniLM, GTE, and ModernBERT
Lion and AdamW are compared for reranker fine-tuning, but the reported Lion gains are confounded by a 10x learning-rate difference and an inverted GPU-utilization metric.