Yu Xia
Yu Xia has 9 papers in our library, in 2021–2026, most of them on Language models & pretraining, Vision & language, Question answering; often with Tong Yu, Julian McAuley, Junda Wu.
OpenAlex · ORCID · h-index 16 · 98 works · 2,575 citations OpenAlex, 2026-10-14
📄 9 works in our library · 🔗 Cited 68 times in our library · ⭐ Paper Stars ranking: #6419
Affiliations
Fields, topics and concepts
📚 Shelves 10The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 9 worksComputer Science · 9 worksArtificial Intelligence · 9 worksLanguage and Linguistics · 9 worksComputer Vision and Pattern Recognition · 4 worksInformation Systems · 5 worksSocial Sciences · 1 workSociology and Political Science · 1 workDecision Sciences · 1 workManagement Science and Operations Research · 1 work
🧭 Topics 7Research subjects and languages the work is about.Language models & pretraining · 4 worksEnglish · 1 workVision & language · 2 worksReasoning · 1 workQuestion answering · 1 workInformation retrieval & search · 1 workDialogue systems · 1 work
Works by year
2020s
Papers
- Exploring Text-transformers in AAAI 2021 Shared Task: COVID-19 Fake News Detection in English (2021 · 44 citations)
The paper describes the third-place system in the Constraint@AAAI 2021 shared task. The task was binary classification of English social-media posts about COVID-19 (from Twitter, Facebook, Instagram and similar sources) as fake or real. The authors trained on the official dataset plus extra data they gathered online.… - A Survey of Small Language Models (2024 · 31 citations)
Large language models perform well but need heavy compute, memory and data, so they usually run on centralized, specialized hardware. - From Selection to Generation: A Survey of LLM-based Active Learning (2025 · 22 citations)
Active learning (AL) traditionally lowers labeling effort by picking the most useful unlabeled examples with metrics such as uncertainty or diversity. - Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs (2025 · 19 citations)
Chain-of-Thought (CoT) prompting showed that LLMs reason better when they write out intermediate steps before giving an answer. - Doc-React: Multi-page Heterogeneous Document Question-answering (2025 · 6 citations)
Doc-React tackles question answering over long documents whose pages mix text, charts and images in irregular layouts. - Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models (2025 · 5 citations)
Retrieval-augmented LLMs do not always benefit from external documents. When a model already knows the answer, retrieval adds cost and latency and can even hurt quality. Adaptive RAG (ARAG) tries to retrieve only when needed. Earlier ARAG methods either count entity frequencies in the pre-training corpus, which is… - LPO: Towards Accurate GUI Agent Interaction via Location Preference Optimization (2026 · 3 citations)
GUI agents built on multimodal LLMs often click or point at the wrong spot. Supervised Fine-Tuning (SFT) handles coordinates poorly. Earlier reinforcement-learning approaches judge location coarsely, using text matching, fixed IoU thresholds, or rigid decision boundaries. UI-TARS-style DPO also needs hand-built… - A Survey on LLM-based Conversational User Simulation (2026 · 1 citation)
This survey organizes the fast-growing literature on using large language models to imitate users in dialogue. - CachePrune: Teaching LLMs What Not to Follow via KV-Cache Editing (2026)
The paper addresses indirect prompt injection, where an LLM obeys commands hidden inside supplied context (e.g., a retrieved passage) instead of answering the user's actual request.
Co-authors here
- Tong Yu ×5
- Julian McAuley ×4
- Junda Wu ×4
- Rui Wang ×3
- Branislav Kveton ×2
- Franck Dernoncourt ×2
- Hongjie Chen ×2
- Joe Barrow ×2
- Lina Yao ×2
- Ruiyi Zhang ×2
- Ryan A. Rossi ×2
- Ryan Aponte ×2
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026, ACL 2025 ×2
- International Conference on Computational Linguistics (COLING) ×2: COLING 2025 ×2
- Communications in computer and information science: Communications in computer and information science 2021
- Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
Updated
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