2 papers
cs.CL2026
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…
cs.LG2026
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…