FIELD NOTES TOPIC

language model performance

2 notes, newest first.

  1. Spider 2.0-AIFunc: Extending Real-World Text-to-SQL to AI-Native SQL Workflows

    Source note ·

    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…

  2. Reinforcement Learning with Metacognitive Feedback Elicits Faithful Uncertainty Expression in LLMs

    Source note ·

    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…