---
title: "Ying Li — author profile and papers — Elamur Research"
description: "Ying Li, University of California, Los Angeles: 3 papers on Elamur Research (2026), h-index 0 — affiliations, topics, co-authors and who cites…"
canonical: "https://research.elamur.ai/free/en/authors/ying-li/"
---
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# Ying Li

Ying Li has 3 papers in our library, in 2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Question answering](https://md.research.elamur.ai/free/en/topics/question-answering/), [Knowledge graphs & ontologies](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/); often with [Jianwei Yin](https://md.research.elamur.ai/free/en/authors/jianwei-yin/), [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/), [Meng Xi](https://md.research.elamur.ai/free/en/authors/meng-xi/).

3 papers in our library · 2026

[OpenAlex](https://openalex.org/A5139757959) · [**h-index 0**](https://openalex.org/authors/A5139757959) · [5 works](https://openalex.org/works?filter=author.id:A5139757959) · [0 citations](https://openalex.org/works?filter=author.id:A5139757959&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/ying-li/#papers) · [⭐ Paper Stars ranking: #13385](https://md.research.elamur.ai/free/en/paper-stars/page/134/#star-13385)

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=Ying+Li) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Ying+Li) · [dblp](https://dblp.org/search?q=Ying+Li) · [ACL Anthology](https://aclanthology.org/search/?q=Ying+Li)

## Affiliations

[🎓**University of California, Los Angeles** Los Angeles · United States 2026 · 2 papers*current*](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/)

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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 4 Research subjects and languages the work is about.[Information retrieval & search · 1 work](https://md.research.elamur.ai/free/en/topics/information-retrieval/) · [Knowledge graphs & ontologies · 1 work](https://md.research.elamur.ai/free/en/topics/knowledge-graphs/) · [Language models & pretraining · 1 work](https://md.research.elamur.ai/free/en/topics/language-models/) · [Question answering · 1 work](https://md.research.elamur.ai/free/en/topics/question-answering/)

## Works by year

### 2020s

[**2026** 3 papers](https://md.research.elamur.ai/free/en/authors/ying-li/year/2026/)

## Papers

The most cited first (OpenAlex and our library).

1. **[FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models](https://md.research.elamur.ai/free/en/papers/weng-2026-finesteer-unified-framework-fine-grained/)** *(2026)* FineSteer targets a familiar tension in inference-time steering of LLMs, which is used to reduce problems like jailbreak susceptibility and hallucination.
2. **[Learning to Think on Hypergraph: HyperCoT for Structure-Guided N-ary Knowledge Graph Completion](https://md.research.elamur.ai/free/en/papers/yang-2026-learning-think-hypergraph-hypercot-structure/)** *(2026)* The paper addresses n-ary knowledge graph completion. The task is to predict a missing entity in a fact that links several entities, each filling a distinct semantic role. Such a fact is a hyperedge in a knowledge hypergraph. The authors identify two gaps. Embedding and GNN hypergraph models score hyperedges locally…
3. **[RIPRAG: Hack a Black-box Retrieval-Augmented Generation Question-Answering System with Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/xi-2026-riprag-hack-black-box-retrieval/)** *(2026)* This paper examines how vulnerable retrieval-augmented QA systems are to corpus poisoning. In this attack, someone plants crafted documents in the retrieval database so the system gives a chosen false answer. Earlier white-box attacks need gradients or internal details, which modern pipelines (hybrid search…

## Co-authors here

4 co-authors with a page, the most papers together first.

- [Jianwei Yin](https://md.research.elamur.ai/free/en/authors/jianwei-yin/)
- [Jiaqi Zhu](https://md.research.elamur.ai/free/en/authors/jiaqi-zhu/)
- [Meng Xi](https://md.research.elamur.ai/free/en/authors/meng-xi/)
- [Yuan Tian](https://md.research.elamur.ai/free/en/authors/yuan-tian/)

## 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
- [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/)

Updated 2 November 2026
