9 citations · 9 across the 20 of their papers we have counts for
4 papers · 1 filter
S1CogBench: What System One Decision Models Can and Cannot Do on Cognitive Experiments
Dengzhe Hou, Kazunori D Yamada
Language models are no longer used only to generate text. Software also asks them for decisions, in routing, guardrails, and automated gates. System One decision models, also calle…
CogBattery: Human-Referenced Evaluation of Cognitive Task Behavior and Structure in Language Models
Dengzhe Hou, Lingyu Jiang, Fangzhou Lin +1
Human cognitive tasks let us compare language models with humans under controlled conditions. Yet a model can reproduce the direction of a human effect while making different error…
AdaptFuse: Training-Free Sequential Preference Inference via Externalized Bayesian Computation
Fangzhou Lin, Zilin Dai, Peiran Li +8
Large language models (LLMs) struggle to accumulate evidence across multiple rounds of user interactions, failing to update their beliefs in a manner consistent with Bayesian infer…
A Language Anchor-Guided Method for Robust Noisy Domain Generalization
Zilin Dai, Lehong Wang, Fangzhou Lin +5
Real-world machine learning applications often struggle with two major challenges: distribution shift and label noise. Models tend to overfit by focusing on redundant and uninforma…