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On Valency

published · living versions
W_xgra3rkn·v1 · currentpublished
You don't need long context
with Peter Belcak, Saurav Muralidharan, Jindong Jiang, Wonmin Byeon +7
1 version

Preprints & journals

68 papers in the corpus · 2019–2026
One Block Ahead: Promoting Sampler State in Diffusion Language Models2610.19510v1 · Yangyi Shen, Pin-Jui Ku, Nicolai Oswald et al.2026 · 0 citationsarXiv
EdgeWise: Bringing Long-Horizon Agents to the Edge via Selective Cloud Delegation2610.17560v2 · Zeru Shi, Jindong Jiang, Ryo Hachiuma et al.2026 · 0 citationsarXiv
When Do We Need On-Policy Distillation? Distilling on Offline Student Rollouts Is Often Better2610.11291v1 · Siyan Zhao, Yonggan Fu, Jindong Jiang et al.2026 · 0 citationsarXiv
Large Language Continuous Diffusion Models2610.02665v1 · Zhihan Yang, Wei Guo, Jean-Marie Lemercier et al.2026 · 0 citationsarXiv
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents2609.39982v1 · Minki Kang, Ryo Hachiuma, Shaokun Zhang et al.2026 · 0 citationsarXiv
PRESTO: Prefix-Aligned Tree Drafting for Diffusion Speculative Decoding2607.22634v1 · Zheng Wang, Zhifan Ye, Qi Cheng et al.2026 · 0 citationsarXiv
Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2606.15007v1 · NVIDIA: Aaron Blakeman, Aaron Thomas, Aastha Jhunjhunwala et al.2026 · 0 citationsarXiv
Nemotron 3 Super: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2604.12374v1 · NVIDIA: Aakshita Chandiramani, Aaron Blakeman, Abdullahi Olaoye et al.2026 · 0 citationsarXiv
Fast-dVLM: Efficient Block-Diffusion VLM via Direct Conversion from Autoregressive VLM2604.06832v2 · Chengyue Wu, Shiyi Lan, Yonggan Fu et al.2026 · 0 citationsarXiv
NVIDIA Nemotron 3: Efficient and Open Intelligence2512.20856v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 1 citationarXiv
Nemotron 3 Nano: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning2512.20848v1 · NVIDIA: Aaron Blakeman, Aaron Grattafiori, Aarti Basant et al.2025 · 0 citationsarXiv
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed2512.14067v2 · Yonggan Fu, Lexington Whalen, Zhifan Ye et al.2025 · 0 citationsarXiv
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration2511.21689v1 · Hongjin Su, Shizhe Diao, Ximing Lu et al.2025 · 1 citationarXiv
TiDAR: Think in Diffusion, Talk in Autoregression2511.08923v1 · Jingyu Liu, Xin Dong, Zhifan Ye et al.2025 · 0 citationsarXiv
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model2508.14444v4 · NVIDIA: Aarti Basant, Abhijit Khairnar, Abhijit Paithankar et al.2025 · 0 citationsarXiv
LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models2507.14204v1 · Dachuan Shi, Yonggan Fu, Xiangchi Yuan et al.2025 · 0 citationsarXiv
Small Language Models are the Future of Agentic AI2506.02153v3 · Peter Belcak, Greg Heinrich, Shizhe Diao et al.2025 · 18 citationsarXiv
Gaussian Blending Unit: An Edge GPU Plug-in for Real-Time Gaussian-Based Rendering in AR/VR2503.23625v1 · Zhifan Ye, Yonggan Fu, Jingqun Zhang et al.2025 · 18 citationsarXiv
Hymba: A Hybrid-head Architecture for Small Language Models2411.13676v1 · Xin Dong, Yonggan Fu, Shizhe Diao et al.2024 · 2 citationsarXiv
Towards Efficient Neuro-Symbolic AI: From Workload Characterization to Hardware Architecture2409.13153v2 · Zishen Wan, Che-Kai Liu, Hanchen Yang et al.2024 · 21 citationsarXiv
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog Generation2407.01910v2 · Yongan Zhang, Zhongzhi Yu, Yonggan Fu et al.2024 · 53 citationsarXiv
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields2403.11131v3 · Yonggan Fu, Huaizhi Qu, Zhifan Ye et al.2024 · 0 citationsarXiv
Towards Cognitive AI Systems: a Survey and Prospective on Neuro-Symbolic AI2401.01040v1 · Zishen Wan, Che-Kai Liu, Hanchen Yang et al.2024 · 7 citationsarXiv
NetDistiller: Empowering Tiny Deep Learning via In-Situ Distillation2310.19820v1 · Shunyao Zhang, Yonggan Fu, Shang Wu et al.2023 · 1 citationarXiv
SmartDeal: Remodeling Deep Network Weights for Efficient Inference and Training.35235521 · Chen, Xiaohan, Zhao, Yang, Wang, Yue et al.2026 · 2 citationsIEEE transactions on neural networks and learning systems. 2023;34(10):7099-7113
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models2309.10730v2 · Yonggan Fu, Yongan Zhang, Zhongzhi Yu et al.2023 · 110 citationsarXiv
NetBooster: Empowering Tiny Deep Learning By Standing on the Shoulders of Deep Giants2306.13586v1 · Zhongzhi Yu, Yonggan Fu, Jiayi Yuan et al.2023 · 1 citationarXiv
Auto-CARD: Efficient and Robust Codec Avatar Driving for Real-time Mobile Telepresence2304.11835v2 · Yonggan Fu, Yuecheng Li, Chenghui Li et al.2023 · 5 citationsarXiv
ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks2205.08119v4 · Haoran You, Baopu Li, Huihong Shi et al.2022 · 9 citationsarXiv
Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?2203.08392v3 · Yonggan Fu, Shunyao Zhang, Shang Wu et al.2022 · 29 citationsarXiv
RT-RCG: Neural Network and Accelerator Search Towards Effective and Real-time ECG Reconstruction from Intracardiac Electrograms.35765469 · Zhang, Yongan, Banta, Anton, Fu, Yonggan et al.2022 · 4 citationsACM journal on emerging technologies in computing systems. 2022;18(2)
LDP: Learnable Dynamic Precision for Efficient Deep Neural Network Training and Inference2203.07713v1 · Zhongzhi Yu, Yonggan Fu, Shang Wu et al.2022 · 2 citationsarXiv
Career total: 86 works. 68 are in this corpus.Showing the 50 most recent.

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