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Author

Lin Qu

Building Presentation Intelligence for High-Quality Slide Generation
2026 · Xie, Yuhang, Li, Cheng, et al. · arXiv (Cornell University)
Product Costing in Data Pipelines
2026 · Peng, Li, You, Jie, et al. · arXiv (Cornell University)
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$λ_0$: Scaling Open-World Egocentric Human Data for Humanoid Loco-Manipulation
2026 · humanoid Team, Xu, Chongyang, et al. · arXiv (Cornell University)
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PEARL: Adaptive Prefill-Decode Execution with Elasticity for Agentic Reinforcement Learning
2026 · Zhu, Jiaan, Gao, Wei, et al. · arXiv (Cornell University)
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HappyWorld-Bench
2026 · Bai, Zhiqi, Cai, Junai, et al. · arXiv (Cornell University)
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One to More, More to One: Category-Aware Iterative Expert Training for Software Engineering Agents
2026 · Zhao, Jie, Jiang, Ziyu, et al. · arXiv (Cornell University)
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SparkDiffusion: Mitigating the High-Sparsity Trap --- A Unified Framework for up to $265\times$ Single-GPU Acceleration of Visual Generation
2026 · Liu, Yuxi, Li, Haoyu, et al. · arXiv (Cornell University)
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CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step Distillation
2026 · Liu, Yuxi, Li, Haoyu, et al. · arXiv (Cornell University)
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RoLA: Rotary-Positioned Low-Rank Linear Attention for Efficient Diffusion Transformers
2026 · Zhang, Zekun, Cai, Yixiang, et al. · arXiv (Cornell University)
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Adaptive Context Parallelism for Production LLM Serving
2026 · Guo, Jiarui, Wang, Rongle, et al. · arXiv (Cornell University)
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PCoMoE: Shifting MoE Inference from Monolithic Expert Selection to Fine-Grained Path Composition
2026 · Gan, Ziyan, Liu, Fangxin, et al. · arXiv (Cornell University)
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The Illusion of $\textit{What If}$: Evaluating the Breakdown of Counterfactual Reasoning in LLMs
2026 · Wang, Yucheng, Du, Yuetian, et al. · arXiv (Cornell University)
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RubricRM: Generative Reward Modeling via Dynamic Rubrics for Image Generation and Editing
2026 · Kan, Zijian, Wang, Wei, et al. · arXiv (Cornell University)
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DiFlow-AE
2026 · YANG, Lingyun, LI, Suyi, et al. · Zenodo (CERN European Organization for Nuclear Research)
OmniJudge or OmniBias? Diagnosing Multimodal Judges through Balanced, Decoupled Lenses
2026 · Hu, Guangzheng, Jiang, Ziyue, et al. · arXiv (Cornell University)
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Rollplex: Cross-Phase GPU Spatial Sharing for Vision Language Model Post-Training
2026 · Lu, Hanfeng, Feng, Tianyu, et al. · arXiv (Cornell University)
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C 2 KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference
2026 · Chuheng Du, Junyi Chen, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
FilmBench: A Film-Grade Benchmark for Cinematic Video Generation
2026 · Wang, Shengyi, Li, Niantong, et al. · arXiv (Cornell University)
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Text Template Tokens Are Implicit Semantic Registers in Diffusion Transformers
2026 · Li, Maohua, Li, Qirui, et al. · arXiv (Cornell University)
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Prompt Generation Technical Report
2026 · Ou, Dan, Ling, Gui, et al. · arXiv (Cornell University)
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CoCoScale: Leveraging Layer-wise Scaling to Unlock the Potential of Online LLM Serving
2026 · Wu, Jingfeng, He, Yiyuan, et al. · arXiv (Cornell University)
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Discovering Millions of Interpretable Features with Sparse Autoencoders
2026 · He, XinYang, Wang, Wei, et al. · arXiv (Cornell University)
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Spotlight: Synergizing Seed Exploration and Spot GPUs for DiT RL Post-Training
2026 · Lai, Ruiqi, An, Dakai, et al. · arXiv (Cornell University)
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SwiftCache: Efficient LLM Serving for Multi-turn Conversations with Heterogeneous KV Cache Sharing
2026 · Hu, Jianmin, Xu, Minxian, et al. · arXiv (Cornell University)
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Semantic DLM+: Improving Diffusion Language Models through Bias-variance Trade-off in Transition Kernel Design
2026 · Jiang, Keyue, Wang, Yuxiang, et al. · arXiv (Cornell University)
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Works count: 39
Citation count: 3
H-index: 1
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