1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.AI2025
Mitigating Content Effects on Reasoning in Language Models through Fine-Grained Activation Steering
Marco Valentino, Geonhee Kim, Dhairya Dalal +2
Large language models (LLMs) exhibit reasoning biases, often conflating content plausibility with formal logical validity. This can lead to wrong inferences in critical domains, wh…
cs.CL2024★ 1 cited
Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference
Geonhee Kim, Marco Valentino, André Freitas
Recent studies on reasoning in language models (LMs) have sparked a debate on whether they can learn systematic inferential principles or merely exploit superficial patterns in the…