Yuxuan Gu
Yuxuan Gu has 3 papers in our library, in 2025–2026, most of them on Language models & pretraining, Information retrieval & search; often with Bing Qin, Weitao Ma, Xiachong Feng.
OpenAlex · ORCID · Wikidata · h-index 19 · 114 works · 1,329 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 20 times in our library · ⭐ Paper Stars ranking: #9881
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksSocial Sciences · 1 workSociology and Political Science · 1 workInformation Systems · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksInformation retrieval & search · 1 work
Works by year
2020s
Papers
- FACT-AUDIT: An Adaptive Multi-Agent Framework for Dynamic Fact-Checking Evaluation of Large Language Models (2025 · 15 citations)
Fact-checking ability in LLMs is usually measured with fixed, human-annotated benchmarks scored by classification accuracy. - Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced Optimization (2025 · 11 citations)
The paper addresses faithfulness hallucination in retrieval-augmented long-form question answering (LFQA), where a model writes paragraph-length answers containing claims that the retrieved documents do not support or that contradict them. - Adaptive Backtracking for Privacy Protection in Large Language Models (2026)
In retrieval-augmented generation, attackers can write prompts that make an LLM reveal private details from the documents it retrieves.
Co-authors here
- Bing Qin ×2
- Weitao Ma ×2
- Xiachong Feng ×2
- Xiaocheng Feng ×2
- Baoxin Wang
- Bo Li
- Dayong Wu
- Guoping Hu
- Hongzhan Lin
- Jing Ma
- Lei Huang
- See-Kiong Ng
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×2: ACL 2025 ×2
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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