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cs.CL2026
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…
cs.CL2026
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…
cs.CL2026
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…