5 citations · 6 across the 5 of their papers we have counts for
4 papers · 1 filter
Towards Efficient Reasoning: Learning Causal Shortcuts for Diffusion Language Models
Dian Jin, Kairong Han, Baohong Li +5
Diffusion Language Models (DLMs) have attracted significant attention for their strong reasoning ability. However, under a bidirectional attention mechanism, DLMs operate over an e…
CDLM: Causal Concept-Guided Diffusion Large Language Models
Kairong Han, Nuanqiao Shan, Ziyu Zhao +6
Autoregressive (AR) language models and Diffusion Language Models (DLMs) constitute the two principal paradigms of large language models. However, both paradigms suffer from insuff…
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models
Kairong Han, Wenshuo Zhao, Ziyu Zhao +3
Large Language Models (LLMs) have achieved remarkable success across various domains. However, a fundamental question remains: Can LLMs effectively utilize causal knowledge for pre…
Causality for Large Language Models
Anpeng Wu, Kun Kuang, Minqin Zhu +7
Recent breakthroughs in artificial intelligence have driven a paradigm shift, where large language models (LLMs) with billions or trillions of parameters are trained on vast datase…