Yue Wu
Yue Wu has 3 papers in our library, in 2023–2026, most of them on Reasoning, Vision & language; often with Enze Xie, James Tin-Yau Kwok, Jieping Ye.
OpenAlex · h-index 3 · 6 works · 48 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 186 times in our library · ⭐ Paper Stars ranking: #6509
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksComputer Vision and Pattern Recognition · 1 workArtificial Intelligence · 2 worksArts and Humanities · 2 worksLanguage and Linguistics · 2 worksSocial Sciences · 1 workSociology and Political Science · 1 work
🧭 Topics 2Research subjects and languages the work is about.Vision & language · 1 workReasoning · 1 work
Works by year
2020s
Papers
- INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection (2024 · 108 citations)
Large language models sometimes give fluent but factually wrong answers. Detecting these hallucinations is a precondition for trusting deployed systems. Earlier detectors look either at token probabilities (perplexity, entropy) or at the decoded text, such as word overlap between sampled answers. Both approaches… - PixArt-α: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis (2023 · 87 citations)
Training state-of-the-art text-to-image (T2I) diffusion models takes thousands of GPU days and hundreds of thousands of dollars. - ART: Adaptive Reasoning Trees for Explainable Claim Verification (2026 · 1 citation)
LLMs can reach fact-checking verdicts, but their reasoning is opaque and hard to challenge. Chain-of-Thought rationales may not reflect how the model actually decided. The authors (Capital One / Stevens Institute of Technology) propose ART (Adaptive Reasoning Trees), which turns a claim into a tree of pro and con…
Co-authors here
- Enze Xie
- James Tin-Yau Kwok
- Jieping Ye
- Jincheng Yu
- Kai Liu
- Lewei Yao
- Ping Luo
- Sahil Wadhwa
- Swapnil Shinde
- Yi Gu
- Zhenguo Li
Venues
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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