Yifei Wang
Yifei Wang has 4 papers in our library, in 2023–2026, most of them on Reasoning, Language models & pretraining, Bias, fairness & safety; often with Feng Xiong, Xiangxiang Chu, Yong Wang.
OpenAlex · ORCID · h-index 10 · 53 works · 327 citations OpenAlex, 2026-10-14
📄 4 works in our library · 🔗 Cited 151 times in our library · ⭐ Paper Stars ranking: #6162
Affiliations
Fields, topics and concepts
📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 2 worksInformation Systems · 1 workComputational Theory and Mathematics · 1 work
🧭 Topics 3Research subjects and languages the work is about.Bias, fairness & safety · 1 workLanguage models & pretraining · 1 workReasoning · 2 works
Works by year
2020s
Papers
- Jailbreak and Guard Aligned Language Models with Only Few In-Context Demonstrations (2023 · 130 citations)
Aligned LLMs can still be manipulated into producing harmful output. Existing jailbreaks are either expensive, relying on iterative optimization as in GCG or AutoDAN, or rigid hand-written templates. Wei et al. show that in-context learning alone can push a model's safety behaviour in either direction. - POSITION BIAS MITIGATES POSITION BIAS: Mitigate Position Bias Through Inter-Position Knowledge Distillation (2025 · 13 citations)
Long-context LLMs use information unevenly: content near the beginning or end of the input is used reliably, while material placed in the middle is often missed. - HS-STaR: Hierarchical Sampling for Self-Taught Reasoners via Difficulty Estimation and Budget Reallocation (2025 · 9 citations)
Self-taught reasoners (STaRs) improve LLM mathematical reasoning by training on their own sampled solutions. - R³: End-to-End Reasoning-based Planning for Multi-step Retrosynthesis via Reinforcement Learning (2026)
Multi-step retrosynthesis means breaking a target molecule down, step by step, into purchasable building blocks.
Co-authors here
- Feng Xiong ×2
- Xiangxiang Chu ×2
- Yong Wang ×2
- Ang Li
- Daniel Dajun Zeng
- Hao Zhou
- Jiangtao Feng
- Lei Bai
- Lijun Wu
- Linjing Li
- Qizhi Pei
- Runxi Cheng
Venues
- Conference on Empirical Methods in Natural Language Processing (EMNLP) ×2: EMNLP 2025 ×2
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
Cited by
Updated
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