Wei Wei
Wei Wei has 4 papers in our library, in 2025–2026, most of them on Sentiment & emotion, Reasoning, Vision & language; often with Bairu Hou, Daizong Liu, Dongrui Liu.
OpenAlex · h-index 1 · 4 works · 1 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 55 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #7588
Affiliations
Fields, topics and concepts
📚 Shelves 8The field of science this work belongs to (OpenAlex fields).Computer Science · 4 worksArts and Humanities · 2 worksArtificial Intelligence · 4 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksInformation Systems · 1 workPsychology · 1 workExperimental and Cognitive Psychology · 1 work
🧭 Topics 3Research subjects and languages the work is about.Reasoning · 1 workSentiment & emotion · 1 workVision & language · 1 work
Works by year
2020s
Papers
- A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and Beyond (2025 · 55 citations)
Large Reasoning Models (LRMs) such as DeepSeek-R1, OpenAI o1/o3 and QwQ gain accuracy by writing long chain-of-thought (CoT) traces before answering. - WebDART: Dynamic Decomposition and Re-planning for Complex Web Tasks (2026 · 2 citations)
LLM-based web agents handle short tasks like opening a page or filling a form. They break down on "chores" that combine long multi-page browsing, collecting many data points and reasoning over constraints. For example, a GPT-4o agent scores 8.0% on WebChoreArena but 46.6% on WebArena. The authors attribute this to… - DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing Modalities (2026 · 1 citation)
Multimodal sentiment analysis (MSA) systems are usually trained on complete text, audio and video, but in deployment some modalities are often partly or fully absent, and accuracy drops sharply. - FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow Generation (2026)
Automated generators of agentic workflows, such as ADAS and AFlow, usually improve one evolving workflow through small local edits or tree search.
All works
- A Survey of Efficient Reasoning for Large Reasoning Models: Language, Multimodality, and BeyondarXiv:2503.21614Xiaoye Qu, Yafu Li, Zhao-Chen Su, et al.2025 · 55 citations
- WebDART: Dynamic Decomposition and Re-planning for Complex Web TasksFindings of the Association for Computational LinguisticsJingbo Yang, Bairu Hou, Wei Wei, et al.2026 · 2 citations
- DEAR: Distributional Error-Aware Reliability for Robust Multimodal Sentiment Analysis with Missing ModalitiesFindings of the Association for Computational LinguisticsShihao Zou, Wei Wei, Yongshuo Zhang2026 · 1 citation
- FusionFlow: Enabling Deep Structural Exploration for Automated Agentic Workflow GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Xiang Wang, Zongtao Yang, Zhuojian Hong, et al.2026
- SMART: Semantic Header Flattening and Pseudo-Code-Style Reasoning for LLM-based Complex Table Question Answering ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetYongshuo Zhang et al.2026
Co-authors here
- Bairu Hou
- Daizong Liu
- Dongrui Liu
- Ganqu Cui
- Junxian He
- Peng Li
- Shiyu Chang
- Shuhao Zhang
- Weigao Sun
- Xiang Wang
- Xiaoye Qu
- Yafu Li
Venues
- Findings of the Association for Computational Linguistics ×2: Findings of the Association for Computational Linguistics 2026 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: ACL 2026
Cited by
Updated
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