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Papers (including subtopics)

ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning AAAI 2025 Conflict-Aware Soft Prompting for Retrieval-Augmented Generation EMNLP 2025 Conformal Prediction for Zero-Shot Models CVPR 2025 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 Connecting Federated ADMM to Bayes ICLR 2025 Connecting Giants: Synergistic Knowledge Transfer of Large Multimodal Models for Few-Shot Learning IJCAI 2025 ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking AAAI 2025 Considering Length Diversity in Retrieval-Augmented Summarization NAACL 2025 Consistency of Compositional Generalization Across Multiple Levels AAAI 2025 Context-Alignment: Activating and Enhancing LLMs Capabilities in Time Series ICLR 2025 Context-Aware Multimodal Pretraining CVPR 2025 Context Clues: Evaluating Long Context Models for Clinical Prediction Tasks on EHR Data ICLR 2025 Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings EMNLP 2025 Contextual Experience Replay for Self-Improvement of Language Agents ACL 2025 Continual Learning in Large Language Models: Foundations to Frontiers IJCNLP 2025 Continual Learning in Multilingual Sign Language Translation NAACL 2025 Continual Learning of Large Language Models EMNLP 2025 Continual Learning Using a Kernel-Based Method Over Foundation Models AAAI 2025 Continual Learning Using Only Large Language Model Prompting COLING 2025 Continual Slow-and-Fast Adaptation of Latent Neural Dynamics (CoSFan): Meta-Learning What-How & When to Adapt ICLR 2025 Continual Speech Learning with Fused Speech Features Interspeech 2025 Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence Interspeech 2025 Continuously Updating Digital Twins using Large Language Models ICML 2025 Contrastive Learning of Image Representations Guided by Spatial Relations WACV 2025 Controllable-LPMoE: Adapting to Challenging Object Segmentation via Dynamic Local Priors from Mixture-of-Experts ICCV 2025