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Notes on language model performance
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Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows
Researchers introduce a new benchmark called Spider 2.0-AIFunc to test the ability of language models to generate AI-native SQL queries on large cloud data platforms. The benchmark includes 465 verified instances…
Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs
The paper discusses a new approach called Reinforcement Learning with Metacognitive Feedback (RLMF) to improve Language Model's (LLM) metacognitive abilities. The RLMF aims to help LLMs better monitor and regulate…
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