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Haoran Que

Haoran Que has 2 papers in our library, in 2023–2025, most of them on Language models & pretraining; often with Jiaheng Liu, Chenchen Zhang, Dawei Zhu.

2 papers in our library · 2023–2025

OpenAlex · h-index 4 · 20 works · 141 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 350 citations in our library · 4 more in our library without a page yet · ⭐ Paper Star rank #4426

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

🏢ByteDanceBeijing · China2026 · 1 papercurrent🎓Peking UniversityBeijing · China2026 · 1 papercurrent🎓Beihang UniversityBeijing · China2023–2025 · 6 papers🏢Alibaba GroupHangzhou · China2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Concepts, shelves and topics

Of its works in our library: the number of works on each and its rating among them.

📚 Shelves 5 Arts and Humanities · 2 works Computer Science · 2 works Artificial Intelligence · 2 works Language and Linguistics · 2 works Computer Vision and Pattern Recognition · 1 work

🧭 Topics 1 Language models & pretraining · 1 work

 Works by year

2020s

20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models (2023 · 186 citations)
    Open-source LLMs are trained for general use and are weak at imitating specific fictional characters. Strong closed models such as GPT-4 can do this, but they are costly, cannot be fine-tuned, and need all character details placed in the prompt. RoleLLM addresses this with a four-stage pipeline. First, the authors…
  2. A Comprehensive Survey on Long Context Language Modeling (2025 · 64 citations)
    Language models that can read very long inputs, such as whole books, extended dialogues or large codebases, are now common.

All works

6 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language ModelsZekun Moore Wang, Zhongyuan Peng, Haoran Que, et al.arXiv:2310.00746 · 186 citations
  2. SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines (original ↗)M-A-P Team et al.2025 · arXiv:2502.14739 · 84 citations · no summary yet
  3. A Comprehensive Survey on Long Context Language ModelingJiaheng Liu, Dawei Zhu, Zhiqi Bai, et al.arXiv:2503.17407 · 64 citations
  4. DDK: Distilling Domain Knowledge for Efficient Large Language Models (original ↗)Jiaheng Liu et al.2024 · arXiv:2407.16154 · 23 citations · no summary yet
  5. Scaling Latent Reasoning via Looped Language Models (original ↗)Rui-Jie Zhu et al.2025 · arXiv:2510.25741 · 18 citations · no summary yet
  6. COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values (original ↗)Siwei Wu et al.2026 · Findings of the Association for Computational… · no summary yet

 Co-authors here

11 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 350 times (of the 141,840 papers whose bibliographies we read); 14 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/haoran-que/