4 papers
CARE: Privacy-Compliant Agentic Reasoning with Evidence Discordance
Haochen Liu, Weien Li, Rui Song +6
Large language model (LLM) systems are increasingly used to support high-stakes decision-making, but they typically perform worse when the available evidence is internally inconsis…
PABU: Progress-Aware Belief Update for Efficient LLM Agents
Haitao Jiang, Lin Ge, Hengrui Cai +1
Large Language Model (LLM) agents commonly condition actions on full action-observation histories, which introduce task-irrelevant information that easily leads to redundant action…
Dynamic Causal Structure Discovery and Causal Effect Estimation
Jianian Wang, Rui Song
To represent the causal relationships between variables, a directed acyclic graph (DAG) is widely utilized in many areas, such as social sciences, epidemics, and genetics. Many cau…
LLM4Causal: Democratized Causal Tools for Everyone via Large Language Model
Haitao Jiang, Lin Ge, Yuhe Gao +2
Large Language Models (LLMs) have shown their success in language understanding and reasoning on general topics. However, their capability to perform inference based on user-specif…