3 citations · 4 across the 3 of their papers we have counts for
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cs.AI2026
Procedural Memory for Language Agents: A Neurosymbolic Perspective on Explicit Goal Structure
Jonathan Leung, Zhiqi Shen, Deheng Ye
Large language models remain unreliable on long-horizon tasks requiring procedural reasoning. We argue that a key cause is the absence of explicit procedural memory: accessible, mo…
cs.AI2025
RoleRAG: Enhancing LLM Role-Playing via Graph Guided Retrieval
Yongjie Wang, Jonathan Leung, Zhiqi Shen
Large Language Models (LLMs) have shown promise in character imitation, enabling immersive and engaging conversations. However, they often generate content that is irrelevant or in…
cs.AI2025★ 1 cited
From Entity-Centric to Goal-Oriented Graphs: Enhancing LLM Knowledge Retrieval in Minecraft
Jonathan Leung, Yongjie Wang, Zhiqi Shen
Large Language Models (LLMs) demonstrate impressive general capabilities but often struggle with step-by-step procedural reasoning, a critical challenge in complex interactive envi…