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stat.ME2026
Discrete Causal Representation Learning
Wenjin Zhang, Yixin Wang, Yuqi Gu
Causal representation learning seeks to uncover causal relationships among high-level latent variables from low-level, entangled, and noisy observations. Existing approaches often…
stat.ME2025
Latency-Response Theory Model: Evaluating Large Language Models via Response Accuracy and Chain-of-Thought Length
Zhiyu Xu, Jia Liu, Yixin Wang +1
The proliferation of Large Language Models (LLMs) necessitates valid evaluation methods to provide guidance for both downstream applications and actionable future improvements. The…