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Yuanzhe Wang

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Preprint Jul 2026

XL-DocBench: Benchmarking Evidence-Grounded Extra-Long Document Understanding

XL-DocBench is introduced, a fully human-verified benchmark for extra-long document understanding, with 1,519 retained questions from six professional domains and contexts up to 2,303 pages, and fills a gap left by prior single-page, short multi-page, or text-only long-context benchmarks.

Hongchen Wei, Yuanzhe Wang, Bei Liu et al. · 0 citations
Review Jul 2026

DocAtlas: Long-Document Understanding as Mutable-State Interaction

DocAtlas is presented, a system that treats long-document understanding as a mutable-state information-seeking process and instantiate DocAtlas as a mutable document harness: an external environment that determines what document information is searched, read, stored, reviewed, and shown to the model at each step.

Hongchen Wei, Yuanzhe Wang, Bei Liu et al. · 0 citations
#small language model Preprint Aug 2026

StrategyBench: Evaluating Explicit Strategy Induction in Large Language Models

This work proposes StrategyBench, which selects strategy-inducible tasks from BIG-Bench, constructs reference strategies, and defines evaluation metrics along two dimensions: strategy quality and downstream utility, and experiments show that explicit strategy utility differs substantially across task categories and dep...

Jing-Han Tan, Yuanzhe Wang, Lu Chen et al. · 0 citations

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