entropy-aware coding 1large language models 1model compression 1PAC-Bayes bounds 1self-generated training data 1
From the 1 of 3 linked papers with an AI index.
3 papers
cs.LG2026
Requential Coding: Pushing the Limits of Model Compression with Self-Generated Training Data
Shikai Qiu, Marc Finzi, Yujia Zheng +2
The paper proposes requential coding, a method where a teacher model selects training samples from the student’s own distribution so that only disagreements need to be encoded, yie…
cs.AI2026
Causal Discovery in the Era of Agents
Yujia Zheng, Vishal Verma, Mantej Gill +3
Recent attempts to combine large language models (LLMs) with causal discovery ask models to infer pairwise directions, propose graph structures, or inject language-model outputs as…
cs.LG2025
Partial Identifiability for Domain Adaptation
Lingjing Kong, Shaoan Xie, Weiran Yao +5
Unsupervised domain adaptation is critical to many real-world applications where label information is unavailable in the target domain. In general, without further assumptions, the…