Shypd.aiThe largest open index of AI toolsAwesome-LLM-Uncertainty-Reliability-Robustness is an academic research tool that curates resources and papers on uncertainty, reliability, and robustness in large language models (LLMs). It serves as a valuable reference for researchers and academics.
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Awesome-LLM-Uncertainty-Reliability-Robustness, also known as UR2-LLMs, is a comprehensive GitHub repository dedicated to collecting and organizing resources related to uncertainty, reliability, and robustness in Large Language Models. This curated list includes a wide array of papers, technical reports, and introductory posts covering topics such as uncertainty estimation, calibration, hallucination, truthfulness, reasoning, prompt engineering, and adversarial robustness. It is an invaluable resource for researchers, academics, and practitioners looking to deepen their understanding of LLM limitations and advancements in addressing them. The repository is actively maintained and encourages contributions from the community.
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