Deep Learning

Towards Comprehensive and Prerequisite-Free Explainer for Graph Neural Networks IJCAI 2025 Towards Comprehensive Evaluation of Open-Source Language Models: A Multi-Dimensional, User-Driven Approach ACL 2025 Towards Consistent Multi-Task Learning: Unlocking the Potential of Task-Specific Parameters CVPR 2025 Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach ACL 2025 Towards Continuous Reuse of Graph Models via Holistic Memory Diversification ICLR 2025 Towards Controllable Speech Synthesis in the Era of Large Language Models: A Systematic Survey EMNLP 2025 Towards Cross-modal Backward-compatible Representation Learning for Vision-Language Models ICCV 2025 Towards Cross-Modality Modeling for Time Series Analytics: A Survey in the LLM Era IJCAI 2025 Towards Database-Free Text-to-SQL Evaluation: A Graph-Based Metric for Functional Correctness COLING 2025 Towards Diverse and Efficient Audio Captioning via Diffusion Models Interspeech 2025 Towards Early Prediction of Self-Supervised Speech Model Performance Interspeech 2025 Towards Economical Inference: Enabling DeepSeek’s Multi-Head Latent Attention in Any Transformer-based LLMs ACL 2025 Towards Effective and Efficient Continual Pre-training of Large Language Models ACL 2025 Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients CVPR 2025 Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space AAAI 2025 Towards Effective Extraction and Evaluation of Factual Claims ACL 2025 Towards Efficient and Multifaceted Computer-assisted Pronunciation Training Leveraging Hierarchical Selective State Space Model and Decoupled Cross-entropy Loss NAACL 2025 Towards Efficient Collaboration via Graph Modeling in Reinforcement Learning AAAI 2025 Towards Efficient General Feature Prediction in Masked Skeleton Modeling ICCV 2025 Towards Efficient LLM Grounding for Embodied Multi-Agent Collaboration ACL 2025 Towards Efficient Low-Order Hybrid Optimizer for Language Model Fine-Tuning AAAI 2025 Towards Efficiently Whisper Fine-tuning with Monotonic Alignments Interspeech 2025 Towards Enhanced Image Inpainting: Mitigating Unwanted Object Insertion and Preserving Color Consistency CVPR 2025 Towards Escaping from Class Dependency Modeling for Multi-Dimensional Classification ICML 2025 Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction EMNLP 2025