GLUE

Dataset Card for GLUE Dataset Summary GLUE, the General Language Understanding Evaluation benchmark (https://gluebenchmark.com/) is a collection of resources for training, evaluating, and analyzing natural language understanding systems. Supported Tasks and Leaderboards The leaderboard for the GLUE benchmark can be fou

Papers using GLUE (10)

Strategic Over-Parameterization for Generalizable Low-Rank Adaptation2026TLoRA+: A Low-Rank Parameter-Efficient Fine-Tuning Method for Large Language Models2026Disentangling Task Conflicts in Multi-Task LoRA via Orthogonal Gradient Projection2026AdaFRUGAL: Adaptive Memory-Efficient Training with Dynamic Control2026ExplainableGuard: Interpretable Adversarial Defense for Large Language Models Using Chain-of-Thought Reasoning2025Sample-Efficient Differentially Private Fine-Tuning via Gradient Matrix Denoising2025UORA: Uniform Orthogonal Reinitialization Adaptation in Parameter-Efficient Fine-Tuning of Large Models2025Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks2025Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models2025The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?2024 · 2 cites