ND
Ning Ding
cs.CLcs.AIcs.LGcs.ROq-bio.QMcs.CVcs.DBcs.HC
On Valency
published · living versionsW_p6ssubkq·v1 · currentpublished
HAF-VLA: Hierarchical Action Flow Framework for Humanoid Vision-Language-Action Control
with Langzhe Gu, Chengkai Hou, Meng Li, Xinhua Wang +10
1 version
W_2stgecu3·v1published
Preprints & journals
33 papers in the corpus · 2019–2026Meta Expert: Cross-Layer Expert Sharing for Storage- and Retrieval-Efficient MoE2610.27598v1 · Ermo Hua, Xiangyu Hong, Baiting Wu et al.2026 · 0 citationsarXiv
HAF-VLA: Hierarchical Action Flow Framework for Humanoid Vision-Language-Action Control2610.26584v1 · Langzhe Gu, Chengkai Hou, Meng Li et al.2026 · 0 citationsarXivon Valency
HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation2610.26765v1 · Tianwei Luo, Yiming He, Hongjin Wu et al.2026 · 0 citationsarXivon Valency
AutoSFT: An Agentic System for Automated Data Research in Supervised Fine-Tuning2610.22194v1 · Bingxiang He, Pengqi Sun, Shihao Peng et al.2026 · 0 citationsarXiv
PhysicsMinions: Winning Gold Medals in the Latest Physics Olympiads with a Coevolutionary Multimodal Multi-Agent System2509.24855v1 · Fangchen Yu, Junchi Yao, Ziyi Wang et al.2025 · 0 citationsarXiv
EAQuant: Enhancing Post-Training Quantization for MoE Models via Expert-Aware Optimization2506.13329v3 · Zhongqian Fu, Tianyi Zhao, Ning Ding et al.2025 · 0 citationsarXiv
Automating Exploratory Multiomics Research via Language Models2506.07591v1 · Shang Qu, Ning Ding, Linhai Xie et al.2025 · 0 citationsarXiv
Learning to Focus: Causal Attention Distillation via Gradient-Guided Token Pruning2506.07851v2 · Yiju Guo, Wenkai Yang, Zexu Sun et al.2025 · 0 citationsarXiv
Self-Reflective Reinforcement Learning for Diffusion-based Image Reasoning Generation2505.22407v1 · Jiadong Pan, Zhiyuan Ma, Kaiyan Zhang et al.2025 · 0 citationsarXiv
Knowledge prompt chaining for semantic modeling2501.08540v1 · Ning Pei Ding, Jingge Du, Zaiwen Feng2025 · 2 citationsarXiv
How to Synthesize Text Data without Model Collapse?2412.14689v3 · Xuekai Zhu, Daixuan Cheng, Hengli Li et al.2024 · 0 citationsarXiv
Automating Exploratory Proteomics Research via Language Models2411.03743v1 · Ning Ding, Shang Qu, Linhai Xie et al.2024 · 0 citationsarXiv
Scalable Efficient Training of Large Language Models with Low-dimensional Projected Attention2411.02063v1 · Xingtai Lv, Ning Ding, Kaiyan Zhang et al.2024 · 2 citationsarXiv
MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies2404.06395v3 · Shengding Hu, Yuge Tu, Xu Han et al.2024 · 28 citationsarXiv
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models2403.08281v4 · Ning Ding, Yulin Chen, Ganqu Cui et al.2024 · 0 citationsarXiv
UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset2402.04588v2 · Haoyu Wang, Shuo Wang, Yukun Yan et al.2024 · 1 citationarXiv
Sparse Low-rank Adaptation of Pre-trained Language Models2311.11696v1 · Ning Ding, Xingtai Lv, Qiaosen Wang et al.2023 · 62 citationsarXiv
UltraFeedback: Boosting Language Models with Scaled AI Feedback2310.01377v2 · Ganqu Cui, Lifan Yuan, Ning Ding et al.2023 · 23 citationsarXiv
Empowering Private Tutoring by Chaining Large Language Models2309.08112v2 · Yulin Chen, Ning Ding, Hai-Tao Zheng et al.2023 · 26 citationsarXiv
Transcription between human-readable synthetic descriptions and machine-executable instructions: an application of the latest pre-training technology.37712039 · Zeng, Zheni, Nie, Yi-Chen, Ding, Ning et al.2023 · 3 citationsChemical science. 2023;14(35):9360-9373
Exploring Lottery Prompts for Pre-trained Language Models2305.19500v1 · Yulin Chen, Ning Ding, Xiaobin Wang et al.2023 · 4 citationsarXiv
Tool Learning with Foundation Models2304.08354v3 · Yujia Qin, Shengding Hu, Yankai Lin et al.2023 · 182 citationsarXiv
ProQA: Structural Prompt-based Pre-training for Unified Question Answering2205.04040v2 · Wanjun Zhong, Yifan Gao, Ning Ding et al.2022 · 28 citationsarXiv
OpenPrompt: An Open-source Framework for Prompt-learning2111.01998v1 · Ning Ding, Shengding Hu, Weilin Zhao et al.2021 · 261 citationsarXiv
Prompt-Learning for Fine-Grained Entity Typing2108.10604v1 · Ning Ding, Yulin Chen, Xu Han et al.2021 · 139 citationsarXiv
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification2108.02035v2 · Shengding Hu, Ning Ding, Huadong Wang et al.2021 · 349 citationsarXiv
CLINE: Contrastive Learning with Semantic Negative Examples for Natural Language Understanding2107.00440v1 · Dong Wang, Ning Ding, Piji Li et al.2021 · 106 citationsarXiv
Pre-Trained Models: Past, Present and Future2106.07139v3 · Xu Han, Zhengyan Zhang, Ning Ding et al.2021 · 990 citationsarXiv
PTR: Prompt Tuning with Rules for Text Classification2105.11259v3 · Xu Han, Weilin Zhao, Ning Ding et al.2021 · 477 citationsarXiv
Few-NERD: A Few-Shot Named Entity Recognition Dataset2105.07464v6 · Ning Ding, Guangwei Xu, Yulin Chen et al.2021 · 227 citationsarXiv
Prototypical Representation Learning for Relation Extraction2103.11647v1 · Ning Ding, Xiaobin Wang, Yao Fu et al.2021 · 56 citationsarXiv
Coupling Distant Annotation and Adversarial Training for Cross-Domain Chinese Word Segmentation2007.08186v2 · Ning Ding, Dingkun Long, Guangwei Xu et al.2020 · 13 citationsarXiv
DELTA: A DEep learning based Language Technology plAtform1908.01853v1 · Kun Han, Junwen Chen, Hui Zhang et al.2019 · 7 citationsarXiv
Career total: 60 works. 33 are in this corpus.
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