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Qitong Wang

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#machine learning Preprint Oct 2026

SparseDecoding: Decoding-Aware Pruning for Accurate and Efficient LLM Inference

The memory-bound nature of the decoding stage of large language model (LLM) inference incurs significant latency. Layer-wise training-free network pruning approaches guided by the Hessian have been a prominent solution to this problem, as pruning reduces the number of nonzero parameters read from memory during decoding...

Qi-Tong Wang, Xin-Wei Niu, Min Su et al. · 0 citations
#artificial intelligence Preprint Aug 2026

Agentic Context Cracking: Token-Efficient Data Reasoning Agents via Adaptive Structuring of Unstructured Data

This work proposes agentic data cracking, a method that structures unstructured data adaptively and speculatively as a byproduct of reasoning itself, a first step toward next-generation data infrastructure for agentic reasoning over unstructured data.

Milad Rezaei Hajidehi, Qi-Tong Wang, Stratos Idreos · 0 citations

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