9 citations · 10 across the 4 of their papers we have counts for
3 papers · 1 filter
Aligning Language Models Towards Counterfactual Invariance
Basar Demir, Emily Shen, Ksheeraj Sai Vepuri +5
Small variations in prompt characteristics can meaningfully alter the semantics, tone, and contextual assumptions of large language model outputs. Such characteristics can involve…
MaD-RL: Matching Distributions for Calibrating LLMs with Reinforcement Learning
Sourabh Kulkarni, Ksheeraj Sai Vepuri, Basar Demir +8
Reinforcement learning (RL) is widely used in language-model post-training to maximize rewards assigned to individual model outputs, such as scores from binary verifiers or reward…
TRAPSBench: Vision-Language Models Encode but Fail to Express Epistemic Restraint
Fnu Pramono, John Cai, Sourabh Kulkarni
When visual evidence is occluded or chaotic, models should abstain. In this paper, we show that Vision-Language Models (VLMs) can internally distinguish when abstention is required…