---
title: "Yixia Li — author profile and papers — Elamur Research"
description: "Yixia Li, Southern University of Science and Technology: 4 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yixia-li/"
---
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# Yixia Li

Yixia Li has 4 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/), [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/), [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/).

4 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139831776) · [**h-index 0**](https://openalex.org/authors/A5139831776) · [5 works](https://openalex.org/works?filter=author.id:A5139831776) · [0 citations](https://openalex.org/works?filter=author.id:A5139831776&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 4 works in our library](https://md.research.elamur.ai/free/en/authors/yixia-li/#papers) · [🔗 Cited 32 times in our library](https://md.research.elamur.ai/free/en/authors/yixia-li/cited-by/) · [⭐ Paper Stars ranking: #9535](https://md.research.elamur.ai/free/en/paper-stars/page/96/#star-9535)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Yixia+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Yixia+Li) · [dblp](https://dblp.org/search?q=Yixia+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Yixia+Li)

## Affiliations

[🎓**Southern University of Science and Technology** Shenzhen · China 2026 · 5 papers*current*](https://md.research.elamur.ai/free/en/universities/southern-university-of-science-and-technology/)

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 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 4 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/)

🧭 Topics 2 Research subjects and languages the work is about.[Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/)

## Works by year

### 2020s

[**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/yixia-li/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yixia-li/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2025-harnessing-reasoning-economy-survey-efficient/)** *(2025 · 16 citations)* Large Reasoning Models such as OpenAI o1, DeepSeek R1 and QwQ solve hard math and coding problems by producing long chains of thought.
2. **[SPPO: Sequence-Level PPO for Long-Horizon Reasoning Tasks](https://md.research.elamur.ai/free/en/papers/wang-2026-sppo-sequence-level-ppo-long/)** *(2026 · 8 citations)* Reinforcement learning with verifiable rewards is a common way to improve LLM reasoning, but the two main options each have a cost.
3. **[G2: Guided Generation for Enhanced Output Diversity in LLMs](https://md.research.elamur.ai/free/en/papers/ruan-2025-g2-guided-generation-enhanced-output/)** *(2025 · 6 citations)* LLMs often return near-identical answers when asked the same question repeatedly. This hurts creative writing, best-of-N selection, synthetic data creation and test-time scaling for reasoning. Raising the sampling temperature adds variety but lowers quality, and re-prompting with earlier answers can drift away from…
4. **[No More Stale Feedback: Co-Evolving Critics for Open-World Agent Learning](https://md.research.elamur.ai/free/en/papers/li-2026-no-more-stale-feedback-co/)** *(2026 · 3 citations)* Critique-guided reinforcement learning supplements sparse outcome rewards for LLM agents with natural-language feedback.

## Co-authors here

12 of 23 co-authors with a page, the most papers together first.

- [Guanhua Chen](https://md.research.elamur.ai/free/en/authors/guanhua-chen/) ×4
- [Peng Li](https://md.research.elamur.ai/free/en/authors/peng-li/) ×2
- [Yang Liu](https://md.research.elamur.ai/free/en/authors/yang-liu/) ×2
- [Yun Chen](https://md.research.elamur.ai/free/en/authors/yun-chen/) ×2
- [Boyang Xue](https://md.research.elamur.ai/free/en/authors/boyang-xue/)
- [Derek F. Wong](https://md.research.elamur.ai/free/en/authors/derek-f-wong/)
- [Heng Ji](https://md.research.elamur.ai/free/en/authors/heng-ji/)
- [Hongru Wang](https://md.research.elamur.ai/free/en/authors/hongru-wang/)
- [Jianhui Pang](https://md.research.elamur.ai/free/en/authors/jianhui-pang/)
- [Kam-Fai Wong](https://md.research.elamur.ai/free/en/authors/kam-fai-wong/)
- [Lingjie Jiang](https://md.research.elamur.ai/free/en/authors/lingjie-jiang/)
- [Long Li](https://md.research.elamur.ai/free/en/authors/long-li/)

## Venues

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

- [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2
- [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/): [EMNLP 2025](https://md.research.elamur.ai/free/en/venues/emnlp/2025/)

## Cited by

Papers of our library cite their works 32 times (of the 149,439 papers whose bibliographies we read); [15 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yixia-li/cited-by/).

Updated 31 October 2026
