Xuhong Zhang
Xuhong Zhang has 3 papers in our library, in 2024–2026, most of them on Language models & pretraining, Coreference resolution; often with Jiannan Cao, Jianwei Yin, Xinyue Peng.
OpenAlex · ORCID · Wikidata · h-index 18 · 140 works · 1,193 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8796
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArtificial Intelligence · 3 worksArts and Humanities · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksHardware and Architecture · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksCoreference resolution · 1 work
Works by year
2020s
Papers
- MEraser: An Effective Fingerprint Erasure Approach for Large Language Models (2025 · 11 citations)
Backdoor-based fingerprinting lets LLM owners prove ownership through secret trigger–response pairs, but little work has tested how easily these marks can be removed. - Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding (2024 · 10 citations)
LLMs still struggle with long inputs. When a document uses many pronouns, modifiers and varied noun phrases for the same entities, models lose track of the referents, especially in mid-document passages. The authors propose Long Question Coreference Adaptation (LQCA), a preprocessing pipeline that rewrites the… - ToolGate: Contract-Grounded and Verified Tool Execution for LLMs (2026 · 3 citations)
LLM agents that call external APIs usually decide in free-form text when a tool may be used and whether its output can be trusted.
Co-authors here
- Jiannan Cao ×2
- Jianwei Yin ×2
- Xinyue Peng ×2
- Yanming Liu ×2
- Jintao Chen
- Meng Han
- Rui Hu
- Tianyu Du
- Wenpeng Xing
- Xinyi Wang
- Xun Wang
- Zhenhua Xu
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2025
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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