🧑‍🔬 Yike Guo

🏛️ Affiliations

🎓Imperial College LondonLondon · United Kingdom1989–2026 · 420 paperscurrent🎓Hong Kong University of Science and TechnologyHong Kong · China2022–2026 · 193 paperscurrent🎓Hong Kong Baptist UniversityHong Kong · China2020–2025 · 76 papers🎓Shanghai UniversityShanghai · China2014–2025 · 48 papers🎓University of LondonLondon · United Kingdom1992–2006 · 8 papers🔬NIHR Imperial Biomedical Research CentreLondon · United Kingdom2016–2022 · 3 papers🎓University of Hong KongPok Fu Lam · China2023–2026 · 2 papers🎓University of LancashirePreston · United Kingdom2014 · 2 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human Preference (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 (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 (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 (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 (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 (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 (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 ↗arXiv:2011.05411 · no summary yetNguyen Truong et al.2020 · 393 citations
2. Integrating Semantic Knowledge to Tackle Zero-shot Text Classification ↗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 yetJingqing Zhang, Piyawat Lertvittayakumjorn, Yike Guo2019 · 152 citations
3. RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation ↗arXiv:2404.00610 · no summary yetChi-Min Chan et al.2024 · 90 citations
4. PKU-SafeRLHF: Towards Multi-Level Safety Alignment for LLMs with Human PreferenceAnnual Meeting of the Association for Computational Linguistics (ACL)Jiaming Ji, Donghai Hong, Borong Zhang, et al.2025 · 83 citations
5. LegalReasoner: Step-wised Verification-Correction for Legal Judgment ReasoningAnnual Meeting of the Association for Computational Linguistics (ACL)Weijie Shi, Han Zhu, Jiaming Ji, et al.2025 · 16 citations
6. LRAS: Advanced Legal Reasoning with Agentic Search ↗arXiv:2601.07296 · no summary yetYujin Zhou; Chuxue Cao; Jinluan Yang; Lijun Wu; Conghui He; Sirui Han;, Yike Guo2026 · 4 citations
7. Bit-by-Bit: Progressive QAT Strategy with Outlier Channel Splitting for Stable Low-Bit LLMsAnnual Meeting of the Association for Computational Linguistics (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 ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Hao Wang, Hao Gu, Hongming Piao, et al.2026 · 3 citations
9. SafeMT: Multi-turn Safety for Multimodal Language ModelsAnnual Meeting of the Association for Computational Linguistics (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 AgentsFindings of the Association for Computational LinguisticsZhenghao Zhu, Yuanfeng Song, Xing Chen, et al.2026 · 2 citations
11. Sparse Adapter Fusion for Continual Learning in NLPConference of the European Chapter of the Association for Computational Linguistics (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? ↗Artificial Intelligence and Law (Springer) · no summary yetYujin Zhou et al.2026 · 1 citation
13. LexAgentHallu: A Hierarchical Benchmark for Profiling Hallucinations in Legal Agents ↗arXiv:2609.09754 · EMNLP 2026 Main · no summary yetYujin Zhou et al.2026

🤝 Co-authors here

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

• Sirui Han ×6
• Jiaming Ji ×3
• Boyuan Chen ×2
• Han Zhu ×2
• Hao Gu ×2
• Hao Wang ×2
• Boren Zheng
• Borong Zhang
• Boxun Li
• Chao Li
• Chengkun Cai
• 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) ×6: ACL 2026 ×3, ACL 2025 ×2
• BioNLP
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 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 →.

Updated 1 November 2026

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