Yutong Zhang
Yutong Zhang has 3 papers in our library, in 2024–2026, most of them on Evaluation & benchmarks, Reasoning, Knowledge graphs & ontologies; often with Caleb Ziems, Diyi Yang, Peng Shu.
OpenAlex · ORCID · h-index 14 · 36 works · 480 citations OpenAlex, 2026-10-14
📄 3 works in our library · 🔗 Cited 116 times in our library · ⭐ Paper Stars ranking: #6103
Affiliations
Fields, topics and concepts
📚 Shelves 6The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 3 worksArts and Humanities · 3 worksComputer Science · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 1 workInformation Systems · 1 work
🧭 Topics 3Research subjects and languages the work is about.Knowledge graphs & ontologies · 1 workEvaluation & benchmarks · 1 workReasoning · 1 work
Works by year
2020s
Papers
- CultureBank: An Online Community-Driven Knowledge Base Towards Culturally Aware Language Technologies (2024 · 93 citations)
LLMs tend to reflect Western-centric values. Existing cultural knowledge resources draw mostly on formal sources such as Wikipedia or C4, state norms as fixed facts, and are evaluated through classification or QA tasks that do not resemble real use. The authors build a scalable, bottom-up pipeline that turns noisy… - Evaluation of OpenAI o1: Opportunities and Challenges of AGI (2024 · 64 citations)
The paper examines how close OpenAI's o1-preview comes to general-purpose intelligence. o1-preview is a model trained with reinforcement learning to work through chain-of-thought reasoning before it answers. A large multi-institution team tested it on 27 task categories, mostly built from public datasets. These span… - MemCoRL: Alternating Co-Optimization of Memory Retrieval and Utilization via Collaborative Reinforcement Learning (2026)
LLMs with fixed context windows have trouble carrying information across long interactions. External memory systems such as A-Mem, Mem0, MemGPT and RMM mostly improve how memory is stored or retrieved. They pay little attention to how the model actually uses the retrieved evidence. MemCoRL addresses this gap by…
Co-authors here
- Caleb Ziems
- Diyi Yang
- Peng Shu
- Peng Xu
- Ryan Li
- Sunny Yu
- Weiyan Shi
- Yang Li
- Yi Pan
- Yifan Zhou
- Zeyu Zhang
- Zhengliang Liu
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2026
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2024
Cited by
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