Zero-Shot Learning

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10 papers in the last four weeks, up 233% on the four weeks before. 0.1% of all new papers.

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From Global Alignment to Local Grounding: Zero-Shot Chinese Character Recognition with Radical Verification
Oct 7, 2026Yu-Heng Shih, Bing-Chen Wu, Tsz-To Wong +6Zero-Shot Learning Optical Character Recognition
National Yang Ming Chiao Tung University, Taiwan · E.SUN Financial Holding Co., Ltd., Taiwan · National Kaohsiung Normal University, Taiwan
Breaking Bureaucracy: Evaluating open-source LLMs for legal document review
Oct 5, 2026Farrukh Baratov, Niki van Stein, Suzan VerberneZero-Shot Learning Legal NLP
Leiden University Leiden, the Netherlands
Atomic Visual Entailment: Enhancing Zero-Shot Vision-Language Reasoning through Atomic Fact Decomposition and Learned Selection
Oct 4, 2026Nallathambi Vethiappan, Derya Soydaner, Gijs WijnholdsZero-Shot Learning VLM Reasoning
Leiden Institute of Advanced Computer Science (LIACS), Leiden University, The Netherlands
Retargeting Motions to Diverse Skeletons via Learnable Flattening
Sep 29, 2026Kia-Jüng Yang, Fabian H. Sinz, Paweł A. PierzchlewiczZero-Shot Learning Graph Representation Learning
Institute of Computer Science, University of Göttingen · Campus Institute Data Science, University Göttingen · Pantomim P.S.A
ALICE: In-context, Zero-shot, Mutual Information Estimation
Sep 28, 2026Giulio Franzese, Simone Rossi, Pietro MichiardiZero-Shot Learning In-Context Learning
EURECOM, Sophia Antipolis, France
Hierarchical Response Preservation for Continual Adaptation of Zero-Shot Graph-Text Models
Sep 27, 2026Haopeng Zhang, Yuhan Wang, Yubing Su +4Class-Incremental Learning Zero-Shot Learning
School of Computer Science and Engineering, Beihang University Beijing, China · School of Electronic and Information Engineering Beihang University Beijing, China · School of Software, Beihang University Beijing, China
PETR: Prompt Ensembling with Training-free Routing for Vision-Language Models
Sep 20, 2026Weihan Cai, Hao Tan, Xinping Gao +2Zero-Shot Learning VLM Adaptation
State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences, and also with the School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · Purple Mountain Laboratories, Nanjing, China · Beijing University of Posts and Telecommunications, Beijing, China
Zero-Shot Cross-Lingual Recognition of Sign Language Handshapes
Sep 16, 2026Marcel Granero-Moya, Carolina del Corral Farrarós, Gloria Haro +2Zero-Shot Learning Sign Language Recognition
Universitat Pompeu Fabra
From Model Patterns to Abstract Semantics in Compositional Zero-Shot Learning
Sep 14, 2026Weize Li, Zhicheng Zhao, Fei SuZero-Shot Learning VLM Reasoning
Beijing University of Posts and Telecommunications · Beijing Key Laboratory of Network System and Network Culture · Key Laboratory of Interactive Technology and Experience System
A statistical approach to bias in zero-shot learning: the lens of handwriting recognition
Sep 9, 2026Clarence Chew, Gim Siang Chia, Sukalpa Chanda +2Zero-Shot Learning
Department of Mathematics National University of Singapore · Dept of Comp Sc & Comm Østfold University College · Statistics and Mathematics Unit Indian Statistical Institute
AirAnchor: Bridging Local and Global Spatial Information for Zero-Shot Aerial Vision-and-Language Navigation
Sep 8, 2026Shanwei Fan, Bin Zhang, Zhiwei Xu +4Zero-Shot Learning UAV Navigation
National Key Laboratory of Cognition and Decision Intelligence for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China · School of Artificial Intelligence, Shandong University, Jinan, Shandong, China
Are Image Generators Zero-Shot Perceivers? A Rigorous Evaluation
Sep 7, 2026Shangzhe Di, Zhaokai Wang, Weidi XieDistribution Shift Robustness Zero-Shot Learning
Shanghai Jiao Tong University, China
Out-of-Distribution Generalisation with Sequence Models in Offline Multi-Agent Reinforcement Learning
Sep 3, 2026Oussama Hidaoui, Omer Ebead, Ulrich Armel Mbou Sob +14Zero-Shot Learning Reinforcement Learning
InstaDeep · AIMS · Stellenbosch University
GVS5H: Zero-Shot Self-Orchestration with Ledger-Based Control for Improved LLM Coding Performance
Aug 27, 2026Victor Gao, Vida Khosrowshahi, Ali Khosrowshahi +4Zero-Shot Learning Multi-Agent LLM Systems
Sang Won · Persis Capital Inc.
EEG-PRIME: Prototype-Aligned Representation Learning with Multi-Level Conditioning for EEG Decoding
Aug 13, 2026Shuailei Zhang, Muyun Jiang, Wei Zhang +5Cross-Subject EEG Decoding Zero-Shot Learning
College of Computing and Data Science, Nanyang Technological University, Singapore · Southeast University, China · Centre for AI in Medicine, Nanyang Technological University, Singapore
Zero-shot 2D Grounding with Novel Affordance Types
Aug 9, 2026Haomeng Zhang, Raymond A. YehZero-Shot Learning Visual Grounding
Department of Computer Science, Purdue University
REZE: Recognition-Based Zero-Shot Extraction for Video Temporal Grounding
Aug 5, 2026Boyang Li, Chenhui Gou, Jianfei CaiTemporal Video Grounding Zero-Shot Learning
Department of Data Science and AI, Monash University
Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes
Aug 3, 2026Nan Chen, Zhouhao Yang, Soufiane HayouZero-Shot Learning LLM Evaluation
Department of Applied Mathematics and Statistics Johns Hopkins University
GenPrior: Unleashing Text-to-Motion Generative Priors for Zero-Shot Skeleton-based Action Recognition
Aug 3, 2026Jidong Kuang, Hongsong Wang, Jie GuiSkeleton-Based Action Recognition Zero-Shot Learning
School of Cyber Science and Engineering, Southeast University Nanjing, China · School of Computer Science and Engineering, Southeast University Key Laboratory of New Generation Artificial Intelligence Technology and Its Interdisciplinary Applications Nanjing, China · School of Cyber Science and Engineering, Southeast University Purple Mountain Laboratories Engineering Research Center of Blockchain Application, Supervision and Management Nanjing, China
GenTrack: Physical Alignment for Robot-Native Motion Generation and Zero-Shot Humanoid Tracking
Aug 2, 2026Zeyu Ling, Xinyao Yu, Renye Yan +4Zero-Shot Learning Humanoid Robot Control
Zhejiang University · Peking University · Tencent +1
HyperODE: Zero-Shot Surrogate for Simulation and Inference of Dynamical Systems
Aug 1, 2026Ajitesh SrivastavaNeural Surrogate Modeling Zero-Shot Learning
Northeastern University
DE-NER : Zero-shot Named Entity Recognition via Dialogue Elicitation of Large Language Models
Aug 1, 2026Xuankang Zhang, Jiangming LiuNamed Entity Recognition Zero-Shot Learning
Yunnan University
Versatile On-device Adaptation at the Edge by Unifying Few-shot, Zero-shot, Continual, and In-context Learning
Jul 31, 2026Douwe den Blanken, Martin Lefebvre, Charlotte FrenkelZero-Shot Learning On-Device Training
Microelectronics Department (EEMCS Faculty), Delft University of Technology, 2628 CD Delft, Netherlands
Can Zero-Shot LLMs Predict Child Malnutrition? A Fairness and Temporal Robustness Study
Jul 31, 2026Muhammad Ashad Kabir, Md Ahshanul HaqueZero-Shot Learning Healthcare
School of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia
Train Small, Deploy Large: Zero-Shot GNN Transfer Through Geometric Renormalization
Jul 30, 2026Robert Jankowski, Pedro Almagro-Blanco, Marián Boguñá +2Zero-Shot Learning Graph Neural Networks
TU Delft · University of Seville · University of Barcelona +2
Prototype Adaptation for Zero-Shot sEMG Movement Classification
Jul 28, 2026Rui Liu, Benjamin PaassenEMG-Based Gesture Recognition Zero-Shot Learning
Faculty of Technology, Bielefeld University
Improving Zero-Shot Phonetic Classification through Language-Agnostic Articulatory Features
Jul 26, 2026Ryo Magoshi, Jaeyoung Lee, Shinsuke Sakai +1Zero-Shot Learning Speech Foundation Models
Graduate School of Informatics, Kyoto University, Japan · NTT, Inc., Japan
Benchmarking Zero-Shot LLM-Generated Parent Selection in Genetic Programming for Symbolic Regression
Jul 26, 2026Hengzhe Zhang, Qi Chen, Bing Xue +2Zero-Shot Learning Large Language Model-Guided Optimization
Centre for Data Science and Artificial Intelligence & School of Engineering and Computer Science, Victoria University of Wellington, PO Box 600, Wellington 6140, New Zealand · Department of Computer Science and Engineering, Michigan State University, East Lansing, MI 48824, USA
Zero-Shot Mission-Level Evaluation for Aerial MLLM Agents
Jul 24, 2026Suman Navaratnarajah, Taehyoung Kim, Jona Ruthardt +5Zero-Shot Learning Multimodal Large Language Models
University of Technology Nuremberg · Fraunhofer IVI · THWS +1
Retrieval-Augmented Interpretable Learning: Towards Task-Specific Zero-Shot Models in Healthcare
Jul 20, 2026Sazan Mahbub, Caleb N. Ellington, Zhiyuan Li +4Zero-Shot Learning Meta-Learning
Carnegie Mellon University · GenBio AI · University of Wisconsin–Madison +2

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From Global Alignment to Local Grounding: Zero-Shot Chinese Character Recognition with Radical Verification

Yu-Heng Shih, Bing-Chen Wu, Tsz-To Wong, Ting-En Yen+5

National Yang Ming Chiao Tung University, Taiwan · E.SUN Financial Holding Co., Ltd., Taiwan · National Kaohsiung Normal University, Taiwan

Zero-Shot Learning Optical Character Recognition Vision-Language Alignment Compositional Representation Learning

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Zero-shot Chinese character recognition (ZS-CCR) aims to recognize characters whose categories are never observed during training, and typically relies on the compositional structure shared between seen and unseen characters. Recent CLIP-style methods represent this structure with the Ideographic Description Sequence (IDS) and align it with glyph images in a shared embedding space. However, they rely on a single global image--IDS similarity that discards the spatial layout of radicals and, being learned only implicitly from seen classes, generalizes poorly to unseen ones; moreover, global matching often retrieves the correct character within the top candidates yet fails to rank it first when characters differ only in subtle local radicals. To address these issues, we propose a global-to-local two-stage framework. In the first stage, STG-CLIP augments the IDS with explicit tree-position and radical-level geometric priors, yielding a spatial-aware prototype that provides a consistent spatial description across seen and unseen categories for high-recall global retrieval. In the second stage, the Radical Verification Module (RVM) uses the radical instances of each retrieved candidate as queries to verify whether the corresponding radicals can be matched to spatially compatible regions in the input glyph. A margin-based gating rule activates the RVM only when the leading global candidates receive similar similarity scores. Experiments on the ICDAR2013 benchmark demonstrate that our method achieves state-of-the-art performance under the character-level zero-shot setting, obtaining 83.06% top-1 accuracy with 2,755 seen classes. Ablation studies further show that the explicit geometric priors and radical-level verification provide complementary improvements.

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