Baixuan Xu
Baixuan Xu has 4 papers in our library, in 2026, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Chunkit Chan, Tianshi Zheng, Yangqiu Song.
OpenAlex · ORCID · Wikidata · h-index 4 · 20 works · 69 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 10 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #11477
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 3 worksArtificial Intelligence · 4 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 2 works
🧭 Topics 5Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workLanguage models & pretraining · 1 workReasoning · 1 workVision & language · 1 workEvaluation & benchmarks · 1 work
Works by year
2020s
Papers
- AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph Construction (2026 · 4 citations)
Graph-based RAG systems usually build their knowledge graph once, judge it by intrinsic criteria such as precision or coverage, and then use it unchanged for question answering. - DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit Gameplay (2026 · 2 citations)
The paper asks how well vision-language models (VLMs) handle multimodal abductive reasoning, meaning proposing and choosing the most plausible explanation from incomplete visual evidence. - InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge Profiling (2026 · 1 citation)
Choosing which large language model should answer a given query becomes difficult as the number of specialized models grows. - SessionIntentBench: A Multi-task Inter-session Intention-shift Modeling Benchmark for E-commerce Customer Behavior Understanding (2026)
E-commerce services benefit from knowing what a shopper wants at a given moment. User profiles and purchase records are often missing, and earlier intention research covers only single or co-buy purchases, mostly using product titles and images. This paper models how preferences change step by step during a browsing…
All works
- AutoGraph-R1: End-to-End Reinforcement Learning for Knowledge Graph ConstructionAnnual Meeting of the Association for Computational Linguistics (ACL)Hong Ting Tsang, Jiaxin Bai, Haoyu Huang, et al.2026 · 4 citations
- Legal Rule Induction: Towards Generalizable Principle Discovery from Analogous Judicial Precedents ↗arXiv:2505.14104 · no summary yetWei Fan et al.2025 · 3 citations
- DIXITWORLD: Evaluating Multimodal Abductive Reasoning in Vision-Language Models with Multi-Agent Dixit GameplayAnnual Meeting of the Association for Computational Linguistics (ACL)Yunxiang MO, Tianshi Zheng, Qing Zong, et al.2026 · 2 citations
- InferenceDynamics: Adaptive LLM Routing through Structured Capability and Knowledge ProfilingAnnual Meeting of the Association for Computational Linguistics (ACL)Haochen Shi, Tianshi Zheng, Weiqi Wang, et al.2026 · 1 citation
- Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning ↗arXiv:2605.25920 · no summary yetWei Fan et al.2026 · 1 citation
Co-authors here
- Chunkit Chan ×3
- Tianshi Zheng ×3
- Yangqiu Song ×3
- Jiaxin Bai ×2
- Qing Zong ×2
- Weiqi Wang ×2
- Changlong Yu
- Chen Luo
- Chunyang Li
- Jiayu Liu
- Shujie Liu
- Tao Fan
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL) ×3: ACL 2026 ×3
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026
Cited by
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