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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.

4 papers in our library · 2025–2026

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

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. 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.
  2. 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…
  3. 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.
  4. 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

5 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. 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
  2. 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

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 55 times (of the 149,439 papers whose bibliographies we read); 20 citing papers with a page here →.

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