Author

Yizhou Sun

Observed name: Sun, Yizhou

Institutions: University of Illinois Urbana-Champaign, University of California, Los Angeles, Beijing National Research Center for Information Science and Technology, Tsinghua University

Observed institutions: University of Illinois Urbana-Champaign, University of California, Los Angeles, Beijing National Research Center for Information Science and Technology, Tsinghua University

OpenAlex ID: A5126252841

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

2026 · Li, Xiangyi, Liu, Yimin, et al. · arXiv (Cornell University) · 3

ACLArena: Agent Continue Learning in Multi-stage Post-training

2026 · Wang, Haixin, Wang, Xiaoxuan, et al. · arXiv (Cornell University)

The Imperfective Paradox Is Not Necessarily in Large Language Models: A Benchmark Failure Before a Model Failure

2026 · Han, Kaiqiao, Sun, Yizhou · arXiv (Cornell University)

Hybrid Lagrangian-Eulerian Model for Lagrangian Fluid Simulation

2026 · Li, Ruoyan, Wang, Wei, et al. · arXiv (Cornell University)

H$^{2}$MT: Semantic Hierarchy-Aware Hierarchical Memory Transformer

2026 · Haghifam, Maryam, He, Zifan, et al. · arXiv (Cornell University)

Structure-Aware RAG: Structured Retrieval Augmented Generation from Noisy Data for Conversational Agents

2026 · Han, Kaiqiao, Tang, LuAn, et al. · arXiv (Cornell University)

Can Current Agents Close the Discovery-to-Application Gap? A Case Study in Minecraft

2026 · Ziheng, Zhou, Tang, Huacong, et al. · arXiv (Cornell University)

LLMs Reading the Rhythms of Daily Life: Aligned Understanding for Behavior Prediction and Generation

2026 · Meng, Fanjin, Ding, Jingtao, et al. · arXiv (Cornell University)

Understand and Accelerate Memory Processing Pipeline for Large Language Model Inference

2026 · He, Zifan, Ma, Rui, et al. · arXiv (Cornell University)

Choosing How to Remember: Adaptive Memory Structures for LLM Agents

2026 · Lu, Mingfei, Wu, Mengjia, et al. · arXiv (Cornell University)

Compressing Sequences in the Latent Embedding Space: K-Token Merging for Large Language Models

2026 · Zihao Xu, John Harvill, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

SeDeM: Selective Decompression of Hidden-State Memories for Long-Context Question Answering

2026 · Maryam Haghifam, Jason Cong, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)

Works count: 12

Citation count: 3

H-index: 1

I10-index: