Proposes an optimal blending framework for proxy and north star metrics in online A/B testing that adjusts decision weights based on statistical power and proxy quality.
Finbert2: A specialized bidirectional encoder for bridging the gap in finance-specific deployment of large language models
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LLMs recover interpretable topic structures via attention and achieve competitive topic modeling performance as long-context generators.
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Blending Proxy Metrics with a North Star
Proposes an optimal blending framework for proxy and north star metrics in online A/B testing that adjusts decision weights based on statistical power and proxy quality.
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LLM as Attention-Informed NTM and Topic Modeling as long-input Generation: Interpretability and long-Context Capability
LLMs recover interpretable topic structures via attention and achieve competitive topic modeling performance as long-context generators.