9 citations · 9 across the 4 of their papers we have counts for
5 papers
PAIR: Memory-Efficient and Fast Inference with Reading--Reasoning Fusion
Sejun Park, Haocheng Xia, Yongjoo Park
For context-based question answering, using one large model for both evidence extraction and answer reasoning requires substantial memory and computation. Existing approaches trade…
Passes Alone, Fails Together: Benchmarking Semantic Coordination in Parallel LLM-Agent Development
Haocheng Xia, Eugene Wu, Yongjoo Park
Parallel coding agents can produce patches that work alone but fail when merged. This happens when one agent changes an interface or rule that another agent still relies on. We stu…
SlotGuard: Stop Oversharing Private Local Context in LLM Agent Transcri
Haocheng Xia, Yongjoo Park
LLM agents can leak privacy (e.g., paths, emails) and credentials (e.g., API keys) as agent observations (e.g., tool outputs, shell logs, and file reads) are appended to provider-b…
LazyAttention: Efficient Retrieval-Augmented Generation with Deferred Positional Encoding
Haocheng Xia, Mihir Pamnani, Hanxi Fang +2
Key-value (KV) caching accelerates inference of large language models (LLMs) by reusing past computations for generated tokens. Its importance becomes even greater in long-context…
HEIGHT: Heterogeneous Interaction Graph Transformer for Robot Navigation in Crowded and Constrained Environments
Shuijing Liu, Haochen Xia, Fatemeh Cheraghi Pouria +5
We study the problem of robot navigation in dense and interactive crowds with static constraints such as corridors and furniture. Previous methods fail to consider all types of spa…