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Seeing but Not Thinking: Routing Distraction in Multimodal Mixture-of-Experts ACL 2026 Adaptive Hyperbolic Kernels: Modulated Embedding in de Branges-Rovnyak Spaces AAAI 2026 HAP: Harmonized Amplitude Perturbation for Cross-Domain Few-Shot Learning AAAI 2026 LASA: Language-Agnostic Semantic Alignment at the Semantic Bottleneck for LLM Safety ACL 2026 Intra-Image Mining and Symmetric Maximum Concept Matching for Few Shot Out-of-Distribution Detection AAAI 2026 Why Steering Works: Toward a Unified View of Language Model Parameter Dynamics ACL 2026 How Controllable Are Large Language Models? A Unified Evaluation across Behavioral Granularities ACL 2026 The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025 Reverse Imaging for Wide-spectrum Generalization of Cardiac MRI Segmentation MICCAI 2025 Modularized Self-Reflected Video Reasoner for Multimodal LLM with Application to Video Question Answering ICML 2025 Dynamic Mixture of Curriculum LoRA Experts for Continual Multimodal Instruction Tuning ICML 2025 Jailbreaking Multimodal Large Language Models via Shuffle Inconsistency ICCV 2025 Exploring the Relationship Between Samples and Masks for Robust Defect Localization AAAI 2025 SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning AAAI 2025 PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning AAAI 2025 TRELM: Towards Robust and Efficient Pre-training for Knowledge-Enhanced Language Models COLING 2024 Text Image Inpainting via Global Structure-Guided Diffusion Models AAAI 2024 KEHRL: Learning Knowledge-Enhanced Language Representations with Hierarchical Reinforcement Learning COLING 2024 UniPSDA: Unsupervised Pseudo Semantic Data Augmentation for Zero-Shot Cross-Lingual Natural Language Understanding COLING 2024 One-dimensional Adapter to Rule Them All: Concepts Diffusion Models and Erasing Applications CVPR 2024 Copula-Nested Spectral Kernel Network ICML 2024 Towards Rehearsal-Free Multilingual ASR: A LoRA-based Case Study on Whisper INTERSPEECH 2024 Synthesizing Coherent Story With Auto-Regressive Latent Diffusion Models WACV 2024 Open-Vocabulary Object Detection With an Open Corpus ICCV 2023 Improving Scene Text Image Super-resolution via Dual Prior Modulation Network AAAI 2023 ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing CVPR 2023 Large Language Models Can be Lazy Learners: Analyze Shortcuts in In-Context Learning ACL 2023 From Adversarial Arms Race to Model-centric Evaluation: Motivating a Unified Automatic Robustness Evaluation Framework ACL 2023 CosNet: A Generalized Spectral Kernel Network NIPS 2023 Learning to Learn from Corrupted Data for Few-Shot Learning IJCAI 2023 Boosting Few-Shot Open-Set Recognition with Multi-Relation Margin Loss IJCAI 2023 Expanding the Hyperbolic Kernels: A Curvature-aware Isometric Embedding View IJCAI 2023 Robust Automatic Speech Recognition via WavAugment Guided Phoneme Adversarial Training INTERSPEECH 2023 COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts ICCV 2023 Sparse Black-Box Multimodal Attack for Vision-Language Adversary Generation EMNLP 2023 Automatically Gating Multi-Frequency Patterns through Rectified Continuous Bernoulli Units with Theoretical Principles IJCAI 2022 RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022 Multiple Instance Learning for Offensive Language Detection EMNLP 2022 Towards Robust Vision Transformer CVPR 2022 Supervised Prototypical Contrastive Learning for Emotion Recognition in Conversation EMNLP 2022 Adversarial Spectral Kernel Matching for Unsupervised Time Series Domain Adaptation IJCAI 2021 Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021 Cut out the annotator, keep the cutout: better segmentation with weak supervision ICLR 2021 Conditional Self-Supervised Learning for Few-Shot Classification IJCAI 2021 Learning Deeper Non-Monotonic Networks by Softly Transferring Solution Space IJCAI 2021 Composite Adversarial Attacks AAAI 2021 Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain CVPR 2021 BaKer-Nets: Bayesian Random Kernel Mapping Networks IJCAI 2020 SpanMlt: A Span-based Multi-Task Learning Framework for Pair-wise Aspect and Opinion Terms Extraction ACL 2020 Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection CVPR 2020 Fine-Grained Fashion Similarity Learning by Attribute-Specific Embedding Network AAAI 2020 Deep Spectral Kernel Learning IJCAI 2019 Multiple Indefinite Kernel Learning for Feature Selection IJCAI 2017 Logistic Boosting Regression for Label Distribution Learning CVPR 2016 Ranking Responses Oriented to Conversational Relevance in Chat-bots COLING 2016