---
title: "Yike Guo — author profile and papers — Elamur Research"
description: "Yike Guo, Hong Kong University of Science and Technology: 7 papers on Elamur Research (2025–2026), h-index 65 — affiliations, topics…"
canonical: "https://research.elamur.ai/free/en/authors/yike-guo/"
---
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# Yike Guo

Yike Guo has 7 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/), [Bias, fairness & safety](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/); often with [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/), [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/), [Boyuan Chen](https://md.research.elamur.ai/free/en/authors/boyuan-chen/).

7 papers in our library · 2025–2026

[OpenAlex](https://openalex.org/A5045081171) · [ORCID](https://orcid.org/0000-0002-3075-2161) · [**h-index 65**](https://openalex.org/authors/A5045081171) · [573 works](https://openalex.org/works?filter=author.id:A5045081171) · [18,972 citations](https://openalex.org/works?filter=author.id:A5045081171&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/yike-guo/#papers) · [🔗 Cited 310 times in our library](https://md.research.elamur.ai/free/en/authors/yike-guo/cited-by/) · [6 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6673](https://md.research.elamur.ai/free/en/paper-stars/page/67/#star-6673)

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

## Affiliations

[🎓**Imperial College London** London · United Kingdom 1989–2026 · 420 papers*current*](https://md.research.elamur.ai/free/en/universities/imperial-college-london/) · [🎓**Hong Kong University of Science and Technology** Hong Kong · China 2022–2026 · 193 papers*current*](https://md.research.elamur.ai/free/en/universities/hong-kong-university-of-science-and-technology/) · [🎓**Hong Kong Baptist University** Hong Kong · China 2020–2025 · 76 papers](https://md.research.elamur.ai/free/en/universities/hong-kong-baptist-university/) · [🎓**Shanghai University** Shanghai · China 2014–2025 · 48 papers](https://md.research.elamur.ai/free/en/universities/shanghai-university/) · [🎓**University of London** London · United Kingdom 1992–2006 · 8 papers](https://md.research.elamur.ai/free/en/universities/university-of-london/) · [🔬**NIHR Imperial Biomedical Research Centre** London · United Kingdom 2016–2022 · 3 papers](https://ror.org/01kmhx639) · [🎓**University of Hong Kong** Pok Fu Lam · China 2023–2026 · 2 papers](https://md.research.elamur.ai/free/en/universities/university-of-hong-kong/) · [🎓**University of Lancashire** Preston · United Kingdom 2014 · 2 papers](https://ror.org/010jbqd54)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 17 more institutions on single bylines are not listed.

## Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 12 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Arts and Humanities · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Language and Linguistics · 5 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Social Sciences · 2 works](https://md.research.elamur.ai/free/en/shelves/social-sciences/) · [Safety Research · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/safety-research/) · [Computer Vision and Pattern Recognition · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Law · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/law/) · [Political Science and International Relations · 1 work](https://md.research.elamur.ai/free/en/shelves/social-sciences/political-science-and-international-relations/) · [Decision Sciences · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/) · [Information Systems · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Information Systems and Management · 1 work](https://md.research.elamur.ai/free/en/shelves/decision-sciences/information-systems-and-management/)

🧭 Topics 7 Research subjects and languages the work is about.[Language models & pretraining · 3 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Bias, fairness & safety · 2 works](https://md.research.elamur.ai/free/en/topics/bias-fairness-safety/) · [Reasoning · 2 works](https://md.research.elamur.ai/free/en/topics/reasoning/) · [Legal AI · 1 work](https://md.research.elamur.ai/free/en/topics/legal-ai/) · [Evaluation & benchmarks · 1 work](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) · [Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Vision & language · 1 work](https://md.research.elamur.ai/free/en/topics/multimodal/)

## Works by year

### 2020s

[**2026** 5 papers](https://md.research.elamur.ai/free/en/authors/yike-guo/year/2026/) · [**2025** 2 papers](https://md.research.elamur.ai/free/en/authors/yike-guo/year/2025/)

## Papers

The most cited first (OpenAlex and our library).

1. **[PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference](https://md.research.elamur.ai/free/en/papers/ji-2025-pku-saferlhf-multi-level-safety/)** *(2025 · 83 citations)* Safety alignment of large language models depends on preference data and fine-grained harm labels, which are expensive to collect at scale.
2. **[LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2025-legalreasoner-step-wised-verification-correction/)** *(2025 · 16 citations)* Legal judgment prediction (LJP) asks a model to produce a court-like ruling from a plaintiff's claim and the case facts.
3. **[Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-bit-bit-progressive-qat-strategy/)** *(2026 · 3 citations)* Quantization-aware training (QAT) of LLMs at extreme precisions, such as 2-bit weights and activations, often breaks down.
4. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/)** *(2026 · 3 citations)* Large reasoning models are usually post-trained by supervised fine-tuning followed by reinforcement learning (SFT-then-RL).
5. **[SafeMT: Multi-turn Safety for Multimodal Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/)** *(2026 · 3 citations)* SafeMT targets a gap in the safety evaluation of multimodal large language models (MLLMs). Existing benchmarks mostly test single image-plus-prompt inputs, but real users talk to these models over many turns, and harmful intent can be spread across a conversation. The authors combined red-team queries from earlier…
6. **[InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-insighteval-expert-curated-benchmark-assessing/)** *(2026 · 2 citations)* LLM-based data agents are increasingly used to extract insights from tables, but few benchmarks measure this ability well.
7. **[Sparse Adapter Fusion for Continual Learning in NLP](https://md.research.elamur.ai/free/en/papers/zeng-2026-sparse-adapter-fusion-continual-learning/)** *(2026 · 1 citation)* Continual learning systems must take on a sequence of new tasks without losing what they learned on earlier ones, a failure known as catastrophic forgetting.

## All works

13 works of theirs in our library, the most cited first; 7 with a page here, the others link their original until we summarise them.

1. **[Privacy Preservation in Federated Learning: An insightful survey from the GDPR Perspective ↗](https://arxiv.org/abs/2011.05411) arXiv:2011.05411 · no summary yet**Nguyen Truong et al.*2020 · 393 citations*
2. **[Integrating Semantic Knowledge to Tackle Zero-shot Text Classification ↗](https://aclanthology.org/N19-1108/) Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yet**Jingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo*2019 · 152 citations*
3. **[RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation ↗](https://arxiv.org/abs/2404.00610) arXiv:2404.00610 · no summary yet**Chi-Min Chan et al.*2024 · 90 citations*
4. **[PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference](https://md.research.elamur.ai/free/en/papers/ji-2025-pku-saferlhf-multi-level-safety/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jiaming Ji, Donghai Hong, Borong Zhang, et al.*2025 · 83 citations*
5. **[LegalReasoner: Step-wised Verification-Correction for Legal Judgment Reasoning](https://md.research.elamur.ai/free/en/papers/shi-2025-legalreasoner-step-wised-verification-correction/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Weijie Shi, Han Zhu, Jiaming Ji, et al.*2025 · 16 citations*
6. **[LRAS: Advanced Legal Reasoning with Agentic Search ↗](https://arxiv.org/abs/2601.07296) arXiv:2601.07296 · no summary yet**Yujin Zhou; Chuxue Cao; Jinluan Yang; Lijun Wu; Conghui He; Sirui Han;, Yike Guo*2026 · 4 citations*
7. **[Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMs](https://md.research.elamur.ai/free/en/papers/xu-2026-bit-bit-progressive-qat-strategy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Binxing Xu, Hao Gu, Lujun Li, et al.*2026 · 3 citations*
8. **[Learning While Staying Curious: Entropy-Preserving Supervised Fine-Tuning via Adaptive Self-Distillation for Large Reasoning Models](https://md.research.elamur.ai/free/en/papers/wang-2026-learning-while-staying-curious-entropy/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Wang, Hao Gu, Hongming Piao, et al.*2026 · 3 citations*
9. **[SafeMT: Multi-turn Safety for Multimodal Language Models](https://md.research.elamur.ai/free/en/papers/zhu-2026-safemt-multi-turn-safety-multimodal/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Han Zhu, Juntao Dai, Jiaming Ji, et al.*2026 · 3 citations*
10. **[InsightEval: An Expert-Curated Benchmark for Assessing Insight Discovery in LLM-Driven Data Agents](https://md.research.elamur.ai/free/en/papers/zhu-2026-insighteval-expert-curated-benchmark-assessing/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Zhenghao Zhu, Yuanfeng Song, Xing Chen, et al.*2026 · 2 citations*
11. **[Sparse Adapter Fusion for Continual Learning in NLP](https://md.research.elamur.ai/free/en/papers/zeng-2026-sparse-adapter-fusion-continual-learning/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Min Zeng, Xi Chen, Haiqin Yang, et al.*2026 · 1 citation*
12. **[How well can large language model agents simulate complex legal dispute resolution? ↗](https://doi.org/10.1007/s10506-026-09518-5) Artificial Intelligence and Law (Springer) · no summary yet**Yujin Zhou et al.*2026 · 1 citation*
13. **[LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agents ↗](https://arxiv.org/abs/2609.09754) arXiv:2609.09754 · EMNLP 2026 Main · no summary yet**Yujin Zhou et al.*2026*

## Co-authors here

12 of 36 co-authors with a page, the most papers together first.

- [Sirui Han](https://md.research.elamur.ai/free/en/authors/sirui-han/) ×6
- [Jiaming Ji](https://md.research.elamur.ai/free/en/authors/jiaming-ji/) ×3
- [Boyuan Chen](https://md.research.elamur.ai/free/en/authors/boyuan-chen/) ×2
- [Han Zhu](https://md.research.elamur.ai/free/en/authors/han-zhu/) ×2
- [Hao Gu](https://md.research.elamur.ai/free/en/authors/hao-gu/) ×2
- [Hao Wang](https://md.research.elamur.ai/free/en/authors/hao-wang/) ×2
- [Boren Zheng](https://md.research.elamur.ai/free/en/authors/boren-zheng/)
- [Borong Zhang](https://md.research.elamur.ai/free/en/authors/borong-zhang/)
- [Boxun Li](https://md.research.elamur.ai/free/en/authors/boxun-li/)
- [Chao Li](https://md.research.elamur.ai/free/en/authors/chao-li/)
- [Chengkun Cai](https://md.research.elamur.ai/free/en/authors/chengkun-cai/)
- [Chengzhong Liu](https://md.research.elamur.ai/free/en/authors/chengzhong-liu/)

## 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/) ×6: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×3, [ACL 2025](https://md.research.elamur.ai/free/en/venues/acl/2025/) ×2
- [BioNLP](https://md.research.elamur.ai/free/en/venues/bionlp/)
- [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/)
- [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/)
- Artificial Intelligence and Law (Springer)
- Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)

## Cited by

Papers of our library cite their works 310 times (of the 149,439 papers whose bibliographies we read); [66 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/yike-guo/cited-by/).

Updated 1 November 2026