---
title: "Weiyang Guo — author profile and papers — Elamur Research"
description: "Weiyang Guo, Harbin Institute of Technology: 2 papers on Elamur Research (2025–2026), h-index 0 — affiliations, topics, co-authors and…"
canonical: "https://research.elamur.ai/free/en/authors/weiyang-guo/"
---
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# Weiyang Guo

Weiyang Guo has 2 papers in our library, in 2025–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Jing Li](https://md.research.elamur.ai/free/en/authors/jing-li/), [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/), [Daojing He](https://md.research.elamur.ai/free/en/authors/daojing-he/).

2 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5139821347) · [**h-index 0**](https://openalex.org/authors/A5139821347) · [2 works](https://openalex.org/works?filter=author.id:A5139821347) · [0 citations](https://openalex.org/works?filter=author.id:A5139821347&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/weiyang-guo/#papers) · [🔗 Cited 19 times in our library](https://md.research.elamur.ai/free/en/authors/weiyang-guo/cited-by/) · [⭐ Paper Stars ranking: #10036](https://md.research.elamur.ai/free/en/paper-stars/page/101/#star-10036)

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

## Affiliations

[🎓**Harbin Institute of Technology** Harbin · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/harbin-institute-of-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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

🧭 Topics 3 Research subjects and languages the work is about.[Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/)

## Works by year

### 2020s

[**2026** 1 paper](https://md.research.elamur.ai/free/en/authors/weiyang-guo/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/weiyang-guo/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[MTSA: Multi-turn Safety Alignment for LLMs through Multi-round Red-teaming](https://md.research.elamur.ai/free/en/papers/guo-2025-mtsa-multi-turn-safety-alignment/)** *(2025 · 14 citations)* Jailbreak research and safety training have mostly targeted single-turn prompts. In multi-turn chats, an attacker can spread harmful intent across several innocent-looking turns, and LLMs are more likely to give in. MTSA is a two-stage framework for multi-turn safety.
2. **[Backdoors in RLVR: Jailbreak Backdoors in LLMs From Verifiable Reward](https://md.research.elamur.ai/free/en/papers/guo-2026-backdoors-rlvr-jailbreak-backdoors-llms/)** *(2026 · 10 citations)* This paper presents what the authors describe as the first backdoor attack on Reinforcement Learning with Verifiable Rewards (RLVR), the training approach used to strengthen LLM reasoning in math and code.

## Co-authors here

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

- [Jing Li](https://md.research.elamur.ai/free/en/authors/jing-li/) ×2
- [Min Zhang](https://md.research.elamur.ai/free/en/authors/min-zhang/) ×2
- [Daojing He](https://md.research.elamur.ai/free/en/authors/daojing-he/)
- [Jun Yu](https://md.research.elamur.ai/free/en/authors/jun-yu/)
- [Wenya Wang](https://md.research.elamur.ai/free/en/authors/wenya-wang/)
- [Yu Li](https://md.research.elamur.ai/free/en/authors/yu-li/)
- [Zesheng Shi](https://md.research.elamur.ai/free/en/authors/zesheng-shi/)

## 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/), [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/)

## Cited by

Papers of our library cite their works 19 times (of the 149,439 papers whose bibliographies we read); [12 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/weiyang-guo/cited-by/).

Updated 30 October 2026
