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Found 3 papers, 2 papers with code
Softmax Probabilities (Mostly) Predict Large Language Model Correctness on Multiple-Choice Q&A
Although large language models (LLMs) perform impressively on many tasks, overconfidence remains a problem.
A StrongREJECT for Empty Jailbreaks
We show that our new grading scheme better accords with human judgment of response quality and overall jailbreak effectiveness, especially on the sort of low-quality responses that contribute the most to over-estimation of jailbreak performance on existing benchmarks.
Autonomous Assessment of Demonstration Sufficiency via Bayesian Inverse Reinforcement Learning
We evaluate our approach in simulation for both discrete and continuous state-space domains and illustrate the feasibility of developing a robotic system that can accurately evaluate demonstration sufficiency.
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