Tianjun Yao

PhD student@Mohamed bin Zayed University of Artificial Intelligence·阿联酋·OpenReview

研究方向

Large Language Model · Data Mining · Invariance Learning · Out-of-Distribution Generalization · GNN · Machine Learning · Deep Learning · Expressive Power of GNNs

4.5

MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning

ICLR 2026Poster

三作

4.0

ParamAgent: Language Agents with Parametric Knowledge

ICLR 2026Withdrawn

一作

3.5

REL-RAG: Relation-Aware Retrieval-Augmented Generation for Generalizable Knowledge Graph Question Answering

合作者 (20)

Tianjun Yao

MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning

ParamAgent: Language Agents with Parametric Knowledge

REL-RAG: Relation-Aware Retrieval-Augmented Generation for Generalizable Knowledge Graph Question Answering

Pruning Spurious Subgraphs for Graph Out-of-Distribution Generalization

Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization

Learning Graph Invariance by Harnessing Spuriosity

Diversifying Spurious Subgraphs for Graph Out-of-Distribution Generalization