most citedHiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

cs.AI2025

The Ramon Llull's Thinking Machine for Automated Ideation

Xinran Zhao, Boyuan Zheng, Chenglei Si +8

This paper revisits Ramon Llull's Ars combinatoria - a medieval framework for generating knowledge through symbolic recombination - as a conceptual foundation for building a modern…

cs.SE2025

cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree

Yilin Zhang, Xinran Zhao, Zora Zhiruo Wang +3

Retrieval-Augmented Generation (RAG) has become essential for large-scale code generation, grounding predictions in external code corpora to improve actuality. However, a critical…

cs.CL2025

RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systems

Yixiao Zeng, Tianyu Cao, Danqing Wang +5

Retrieval-Augmented Generation (RAG) enhances recency and factuality in answers. However, existing evaluations rarely test how well these systems cope with real-world noise, confli…

cs.AI2025

Improving Large Language Model Planning with Action Sequence Similarity

Xinran Zhao, Hanie Sedghi, Bernd Bohnet +2

Planning is essential for artificial intelligence systems to look ahead and proactively determine a course of actions to reach objectives in the virtual and real world. Recent work…

cs.CL2025

Strategic Planning and Rationalizing on Trees Make LLMs Better Debaters

Danqing Wang, Zhuorui Ye, Xinran Zhao +2

Winning competitive debates requires sophisticated reasoning and argument skills. There are unique challenges in the competitive debate: (1) The time constraints force debaters to…

cs.CV20241 cited

HiMemFormer: Hierarchical Memory-Aware Transformer for Multi-Agent Action Anticipation

Zirui Wang, Xinran Zhao, Simon Stepputtis +4

Understanding and predicting human actions has been a long-standing challenge and is a crucial measure of perception in robotics AI. While significant progress has been made in ant…