Research author
Yu Cheng
15 AI research papers in the One9Founders library, with summaries and links to original sources.
Papers by Yu Cheng
Oct 15, 2026
cs.CL
Intern-Decision: Efficient Multimodal Decision Making with Autoregressive Masked Language Modeling
Tong Zhu, Zhe Xu, Zefeng He, et al.
19
Oct 7, 2026
cs.SD
MIRA: A Musical Intent Refinement Agent for Aligning Text-to-Music Generation with User Intent
Zekai Liu, Zhilin Wang, Xuzheng He, et al.
8
Sep 24, 2026
cs.AI
SciWalker: Synthesizing Scientific Coding Problems with Operator Graphs and Execution Feedback
Chenxi Li, Wenxuan Zeng, Yun Luo, et al.
Sep 22, 2026
cs.CL
HySparse2: Hybrid Sparse Attention with Two-Level KV Sharing
Jianyu Wei, Yizhao Gao, Qihao Zhang, et al.
Sep 16, 2026
cs.LG
Rethinking Critic Learning in PPO: Understanding and Mitigating Value Flattening
Yizhuo Li, Jianhao Yan, Yun Luo, et al.
65
Aug 24, 2026
cs.IR
Towards a Densing Law for User Representation Learning at Billion-Scale Capacity
Bin Dou, Junru Zhang, Zhaoyi Yuan, et al.
25
Aug 14, 2026
cs.CL
SimpleOPD: Simple Tokenizer-Agnostic On-Policy Distillation for Long-Context Reasoning
Haonan He, Haodi Lei, Yun Luo, et al.
28
Jul 24, 2026
cs.CL
Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills
Siyuan Huang, Pengyu Cheng, Haotian Liu, et al.
30
Jul 2, 2026
cs.AI
EvoPolicyGym: Evaluating Autonomous Policy Evolution in Interactive Environments
Zhilin Wang, Han Song, Runzhe Zhan, et al.
45
Jun 29, 2026
cs.CL
Morphing into Hybrid Attention Models
Disen Lan, Jianbin Zheng, Yuxi Ren, et al.
41
Jun 11, 2026
cs.LG
MaxProof: Scaling Mathematical Proof with Generative-Verifier RL and Population-Level Test-Time Scaling
Jiacheng Chen, Xinyu Zhang, Shunkai Zhang, et al.
75
May 6, 2026
cs.CL
TabEmbed: Benchmarking and Learning Generalist Embeddings for Tabular Understanding
Minjie Qiang, Mingming Zhang, Xiaoyi Bao, et al.
7
May 1, 2026
cs.CV
Persistent Visual Memory: Sustaining Perception for Deep Generation in LVLMs
Siyuan Huang, Xiaoye Qu, Yafu Li, et al.
18
Apr 22, 2026
cs.AI
Learning to Evolve: A Self-Improving Framework for Multi-Agent Systems via Textual Parameter Graph Optimization
Shan He, Runze Wang, Zhuoyun Du, et al.
Apr 15, 2026
cs.LG
DiPO: Disentangled Perplexity Policy Optimization for Fine-grained Exploration-Exploitation Trade-Off
Xiaofan Li, Ming Yang, Zhiyuan Ma, et al.
1