2 papers
cs.AI2026
Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs
Dylan Feng, Pragya Srivastava, Anca Dragan +1
Many safety and alignment failures of large language models (LLMs) occur due to out-of-distribution (OOD) situations: unusual prompt or response patterns that are unforeseen by mod…
cs.CL2024
NICE: To Optimize In-Context Examples or Not?
Pragya Srivastava, Satvik Golechha, Amit Deshpande +1
Recent work shows that in-context learning and optimization of in-context examples (ICE) can significantly improve the accuracy of large language models (LLMs) on a wide range of t…