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Aili Chen

Aili Chen has 2 papers in our library, in 2024–2025, most of them on Reasoning; often with Chao Wang, Jian Xie, Jiangjie Chen.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 11 · 69 works · 612 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 158 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #4784

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. 2 more institutions 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.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. From Persona to Personalization: A Survey on Role-Playing Language Agents (2024 · 114 citations)
    This survey organizes the fast-growing research on Role-Playing Language Agents (RPLAs), which are LLM-based systems that take on an assigned persona.
  2. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention (2025 · 58 citations)
    Reasoning models get better when they generate longer chains of thought. Standard softmax attention, however, has quadratic cost in sequence length, which makes long outputs expensive. MiniMax-M1 tackles this with an open-weight reasoning model built on a hybrid design. It starts from MiniMax-Text-01, a…

All works

3 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. From Persona to Personalization: A Survey on Role-Playing Language AgentsJiangjie Chen, Xintao Wang, Rui Xu, et al.arXiv:2404.18231 · 114 citations
  2. MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning AttentionMiniMax, Aili Chen, Aonian Li, et al.arXiv:2506.13585 · 58 citations
  3. Can LLMs Learn to Map the World from Local Descriptions? · original ↗ · no summary yet · Proceedings of the 64th Annual Meeting of the Association for Computational…Sirui Xia et al.2026

 Co-authors here

9 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 158 times (of the 141,840 papers whose bibliographies we read); 6 citing papers with a page here →.

Updated

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