contrastive learning

Enhancing Multimodal Entity Linking with Jaccard Distance-based Conditional Contrastive Learning and Contextual Visual Augmentation NAACL 2025 Enhancing Multimodal Retrieval via Complementary Information Extraction and Alignment ACL 2025 Enhancing Multimodal Unified Representations for Cross Modal Generalization ACL 2025 Enhancing Multi-party Dialogue Discourse Parsing with Explanation Generation COLING 2025 Enhancing Multivariate Time-Series Domain Adaptation via Contrastive Frequency Graph Discovery and Language-Guided Adversary Alignment AAAI 2025 Enhancing Persona Consistency for LLMs’ Role-Playing using Persona-Aware Contrastive Learning ACL 2025 Enhancing the Prototype Network with Local-to-Global Optimization for Few-Shot Relation Extraction NAACL 2025 Enhancing Unsupervised Sentence Embeddings via Knowledge-Driven Data Augmentation and Gaussian-Decayed Contrastive Learning ACL 2025 Enhancing Vision-Language Compositional Understanding with Multimodal Synthetic Data CVPR 2025 Episodic Novelty Through Temporal Distance ICLR 2025 EQA-RM: A Generative Embodied Reward Model with Test-time Scaling EMNLP 2025 Expanding the Scope of Negatives: Boosting Image-Text Matching with Negatives Distribution Guided Learning AAAI 2025 Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models? CoNLL 2025 Explainable Ethical Assessment on Human Behaviors by Generating Conflicting Social Norms IJCNLP 2025 Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks IJCAI 2025 Exploiting Text Semantics for Few and Zero Shot Node Classification on Text-attributed Graph IJCAI 2025 Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models AAAI 2025 Exploring How Generative MLLMs Perceive More Than CLIP with the Same Vision Encoder ACL 2025 Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning AAAI 2025 Exploring Unbiased Deepfake Detection via Token-Level Shuffling and Mixing AAAI 2025 External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection AAAI 2025 Extracting the Essence and Discarding the Dross: Enhancing Code Generation with Contrastive Execution Feedback COLING 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 Factual Dialogue Summarization via Learning from Large Language Models COLING 2025 FairASR: Fair Audio Contrastive Learning for Automatic Speech Recognition Interspeech 2025