3 citations · 8 across the 12 of their papers we have counts for
4 papers · 1 filter
Online Rubrics Elicitation from Pairwise Comparisons
MohammadHossein Rezaei, Robert Vacareanu, Zihao Wang +4
Rubrics provide a flexible way to train LLMs on open-ended long-form answers where verifiable rewards are not applicable and human preferences provide coarse signals. Prior work sh…
The MASK Benchmark: Disentangling Honesty From Accuracy in AI Systems
Richard Ren, Arunim Agarwal, Mantas Mazeika +13
As large language models (LLMs) become more capable and agentic, the requirement for trust in their outputs grows significantly, yet at the same time concerns have been mounting th…
MorphNLI: A Stepwise Approach to Natural Language Inference Using Text Morphing
Vlad Andrei Negru, Robert Vacareanu, Camelia Lemnaru +2
We introduce MorphNLI, a modular step-by-step approach to natural language inference (NLI). When classifying the premise-hypothesis pairs into {entailment, contradiction, neutral},…
Jailbreaking to Jailbreak
Jeremy Kritz, Vaughn Robinson, Robert Vacareanu +7
Large Language Models (LLMs) can be used to red team other models (e.g. jailbreaking) to elicit harmful contents. While prior works commonly employ open-weight models or private un…