Yuxia Wang
Yuxia Wang has 5 papers in our library, in 2022–2026, most of them on Bias, fairness & safety, Language models & pretraining, Reasoning; often with Preslav Nakov, Haonan Li, Timothy Baldwin.
OpenAlex · ORCID · h-index 23 · 181 works · 1,490 citations OpenAlex, 2026-10-14
📄 5 works in our library · 🔗 426 citations in our library · 6 more in our library without a page yet · ⭐ Paper Star rank #4745
Affiliations
Concepts, shelves and topics
📚 Shelves 9 Artificial Intelligence · 5 works Computer Science · 5 works Safety Research · 2 works Social Sciences · 2 works Arts and Humanities · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work Psychology · 1 work Social Psychology · 1 work
🧭 Topics 7 Bias, fairness & safety · 3 works Language models & pretraining · 2 works Reasoning · 2 works Evaluation & benchmarks · 1 work Multilingual & cross-lingual NLP · 1 work Semitic languages · 1 work Vision & language · 1 work
Works by year
2020s
Papers
- Do-Not-Answer: Evaluating Safeguards in LLMs (2024 · 91 citations)
Open-source LLMs often ship without the safety layers that commercial systems have. Existing harmful-prompt collections tend to be small, proprietary, or unlabeled. This paper offers a cheap, public way to test whether a model refuses requests it should not fulfil. - Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMs (2023 · 76 citations)
Open-source LLMs often ship without strong safety mechanisms, and earlier harmful-prompt collections were either private, narrow in scope, or lacked labeled model responses. - Capture Human Disagreement Distributions by Calibrated Networks for Natural Language Inference (2022 · 15 citations)
NLI items often have no single right answer: when many people label the same premise–hypothesis pair, their votes split. - Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful Humor (2026)
The paper argues that detecting harmful humor is a safety problem that existing toxicity benchmarks cover poorly. - MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense Validation (2025)
Arabic commonsense benchmarks have mostly covered Modern Standard Arabic (MSA), while everyday communication happens in regional dialects. MSA-trained models transfer poorly to them. The authors build MuDRiC, which they describe as the first multi-dialect Arabic commonsense validation resource.
All works
- M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection (original ↗)Yuxia Wang et al.2023 · arXiv:2305.14902 · 106 citations · no summary yet
- A Survey of Confidence Estimation and Calibration in Large Language Models (original ↗)Jiahui Geng et al.2023 · arXiv:2311.08298 · 96 citations · no summary yet
- Do-Not-Answer: Evaluating Safeguards in LLMsYuxia Wang, Haonan Li, Xudong Han, et al.Findings of the Association for Computational… · 91 citations
- Factuality of Large Language Models: A Survey (original ↗)Yuxia Wang et al.2024 · Proceedings of the 2024 Conference on Empirical… · 76 citations · no summary yet
- Do-Not-Answer: A Dataset for Evaluating Safeguards in LLMsYuxia Wang, Haonan Li, Xudong Han, et al.arXiv:2308.13387 · 76 citations
- Uncertainty Estimation and Reduction of Pre-trained Models for Text Regression (original ↗)Yuxia Wang et al.2022 · Transactions of the Association for… · 48 citations · no summary yet
- Arabic Dataset for LLM Safeguard Evaluation (original ↗)Yasser Ashraf et al.2025 · Proceedings of the 2025 Conference of the… · 22 citations · no summary yet
- Capture Human Disagreement Distributions by Calibrated Networks for Natural Language InferenceYuxia Wang, Minghan Wang, Yimeng Chen, et al.Findings of the Association for Computational… · 15 citations
- FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning (original ↗)Zhuohan Xie et al.2026 · Proceedings of the 64th Annual Meeting of the… · 10 citations · no summary yet
- Harm or Humor: A Multimodal, Multilingual Benchmark for Overt and Covert Harmful HumorAhmed Sharshar, Hosam Elgendy, Saad El Dine Ahmed, et al.arXiv:2603.17759
- MuDRiC: Multi-Dialect Reasoning for Arabic Commonsense ValidationKareem Elozeiri, Mervat Abassy, Preslav Nakov, et al.arXiv:2508.13130
Co-authors here
- Preslav Nakov ×3
- Haonan Li ×2
- Timothy Baldwin ×2
- Xudong Han ×2
- Hao Yang
- Kareem Elozeiri
- Mervat Abassy
- Min Zhang
Venues
- Findings of the Association for Computational Linguistics ×2: 2024, 2022
- Proceedings of the 2024 Conference on Empirical Methods in…
- Proceedings of the 2025 Conference of the Nations of the…
- Proceedings of the 64th Annual Meeting of the Association…
- Transactions of the Association for Computational…
Cited by
Updated
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