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Zhongni Hou

Zhongni Hou has 2 papers in our library, in 2025–2026, most of them on Language models & pretraining, Dialogue systems; often with Guojun Yin, Jiafeng Guo, Jiajie Zhang.

2 papers in our library · 2025–2026

OpenAlex · h-index 4 · 19 works · 86 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 19 times in our library · ⭐ Paper Stars ranking: #8900

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

🏢MeituanBeijing · China2026 · 4 paperscurrent🎓University of Chinese Academy of SciencesBeijing · China2021–2025 · 7 papers🏛️Chinese Academy of SciencesBeijing · China2021–2025 · 4 papers🔬Institute of Computing TechnologyBeijing · China2021–2025 · 4 papers🎓Tsinghua UniversityBeijing · China2024–2025 · 2 papers

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.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workDialogue systems · 1 work

 Works by year

2020s

20261 paper20251 paper

 Papers

The most cited first (OpenAlex and our library).

  1. LongReward: Improving Long-context Large Language Models with AI Feedback (2025 · 21 citations)
    Long-context LLMs are usually fine-tuned on question-answer data that other LLMs generate automatically. That data often contains logical slips, invented facts or incomplete answers, and these flaws carry over into the SFT models. Reinforcement learning could correct such behaviour, but there has been no dependable…
  2. Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents (2026 · 2 citations)
    Memory modules let LLM agents personalize answers across long, multi-session conversations, but current systems handle time poorly.

 Co-authors here

12 of 18 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 19 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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