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Hu Wei

32 papers hereh-index 441 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author1
  • middle author25
  • last author4

Across the 31 of 32 papers where every author was matched, so the position is known.

fields
  • cs.AI13
  • cs.CL6
  • cs.CV4
  • cs.LG3
  • cs.SE3
  • cs.CE1
same name
  • Hu Wei — 3 papers, h 3
  • Hu Wei — 3 papers, h 2
  • Hu Wei — 2 papers, h 1
  • HU Wei — 1 paper, h 1
  • Hu Wei — 1 paper, h 1
  • Hu Wei — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
collaborators
Showing 2026 · cs.CLShow all

4 papers · 2 filters

cs.CL2026

Are the Financial Reasoning from LLMs Credible? A Real World Test over Long-Horizon Statements

Xinke Tong, Xuanming Zhang, Tianyi Tang +10

Do Large Language Models (LLMs) possess genuine structural reasoning, or merely rely on surface-level pattern matching? The financial domain, demanding numerical precision and mult…

cs.CL2026

Before the Action: Benchmarking LLMs on Prospective Hypothesis Discovery

Tianyun Zhong, Wangyi Jiang, Wei Wang +15

Large language models (LLMs) excel at answering pre-specified questions, yet their ability to navigate the open-ended, pre-conclusion stage of discovery remains largely unmeasured.…

cs.CL2026

MedPRMBench: A Fine-grained Benchmark for Process Reward Models in Medical Reasoning

Lingyan Wu, Xiang Zheng, Weiqi Zhai +5

Medical reasoning can reach a plausible answer while overlooking an unsafe or unsupported intermediate step. Process-Level Reward Models (PRMs) can verify such steps, yet existing…

cs.CL2026

HLE-Verified: A Systematic Verification and Structured Revision of Humanity's Last Exam

Weiqi Zhai, Zhihai Wang, Jinghang Wang +33

Humanity's Last Exam (HLE) has become a widely used benchmark for evaluating frontier large language models on challenging, multi-domain questions. However, community-led analyses…

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