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Zhao Yang

Zhao Yang has 4 papers in our library, in 2023–2026, most of them on Information retrieval & search, Reasoning, Vision & language; often with Ji-Rong Wen, Jiajie Jin, Yutao Zhu.

4 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 14 · 157 works · 844 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 169 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6646

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. 44 more institutions on single bylines are not listed.

 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. AppAgent: Multimodal Agents as Smartphone Users (2023 · 107 citations)
    Most LLM-based agents work only with text, and phone assistants such as Siri depend on back-end system access and function calls.
  2. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation Research (2024 · 77 citations)
    Comparing retrieval-augmented generation (RAG) methods fairly is difficult. Many implementations are closed or tied to specific setups, and datasets and retrieval corpora are scattered and inconsistently formatted. General-purpose frameworks such as LangChain and LlamaIndex hide too much of the internals for research…
  3. Efficient Prior-Guided Reasoning for Robust Retrieval-Augmented Generation under Conflicts (2026)
    Retrieval-augmented generation (RAG) works well when the retrieved passages are clean. Accuracy drops sharply when the passages are noisy, outdated or contradict each other. The authors study whether a model's own knowledge can act as a reference point for judging such evidence.
  4. Web Sitemap Knowledge Can Enhance Autonomous Browsing (2026)
    LLM-based web agents often fail on real websites. They see only one page at a time, so they cannot infer how a site is organized. HTML or screenshot inputs also miss interface details such as collapsed menus. The authors argue that agents need external knowledge of the website, not only stronger policies. Their…

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. AppAgent: Multimodal Agents as Smartphone UsersarXiv:2312.13771Chi Zhang, Zhao Yang, Jiaxuan Liu, et al.2023 · 107 citations
  2. FlashRAG: A Modular Toolkit for Efficient Retrieval-Augmented Generation ResearcharXiv:2405.13576Jiajie Jin, Yutao Zhu, Guanting Dong, et al.2024 · 77 citations
  3. Rethinking Sentiment Style Transfer ↗Findings of the Association for Computational Linguistics: EMNLP 2021 · no summary yetPing Yu et al.2021 · 8 citations

 Co-authors here

12 of 22 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 169 times (of the 149,439 papers whose bibliographies we read); 57 citing papers with a page here →.

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