Author

Yao Xu

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Oct 2026

HyCo2: Hybrid Context Compression with Global Semantics and Local Evidence

Long-context inference is costly and can be brittle for large language models (LLMs): self-attention grows quadratically with input length, and retrieval-augmented generation (RAG) may introduce redundant context that obscures decisive evidence. Existing compressors face a representational trade-off. Hard compression k...

Huanxuan Liao, Yao Xu, Shi-Zhu He et al. · ACM Transactions on Informat... · 0 citations

#artificial intelligence Preprint Oct 2026

RuleTrek: Benchmarking Agentic Rule Reasoning in Complex Scenarios

Large language models (LLMs) increasingly tackle complex real-world tasks in specialized domains. However, identifying and correctly applying domain-specific rules remains challenging when scenario information is distributed across multiple files. Existing rule-reasoning benchmarks typically represent scenarios using o...

Chen-Hao Yuan, Bo-Han Yu, Yin-Hao Xu et al. · 0 citations