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Papers (including subtopics)

Few-Shot Multimodal Named Entity Recognition Based on Mutlimodal Causal Intervention Graph COLING 2024 Few-shot Named Entity Recognition via Superposition Concept Discrimination COLING 2024 Few-Shot Neural Radiance Fields under Unconstrained Illumination AAAI 2024 Few-Shot Object Detection with Foundation Models CVPR 2024 Few-Shot Semantic Dependency Parsing via Graph Contrastive Learning COLING 2024 Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning ACL 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NeurIPS 2024 Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CoNLL 2024 Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024 Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NeurIPS 2024 Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NeurIPS 2024 Fine-Grained Legal Argument-Pair Extraction via Coarse-Grained Pre-training COLING 2024 Fine-Grained Prototypes Distillation for Few-Shot Object Detection AAAI 2024 Fine-tune Pre-Trained Models with Multi-Level Feature Fusion for Speaker Verification Interspeech 2024 Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together EMNLP 2024 Fine-Tuning Automatic Speech Recognition for People with Parkinson's: An Effective Strategy for Enhancing Speech Technology Accessibility Interspeech 2024 Fine-tuning Language Models for Joint Rewriting and Completion of Code with Potential Bugs ACL 2024 Fine-tuning Language Models for Predicting the Impact of Events Associated to Financial News Articles COLING 2024 Fine-Tuning Language Models on Multiple Datasets for Citation Intention Classification EMNLP 2024 Fine-Tuning Large Vision-Language Models as Decision-Making Agents via Reinforcement Learning NeurIPS 2024 Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract) AAAI 2024 Fine-Tuning Open Access LLMs for High-Precision NLU in Goal-Driven Dialog Systems COLING 2024 Fine-Tuning Personalization in Federated Learning to Mitigate Adversarial Clients NeurIPS 2024 Fine-tuning Pre-trained Models for Robustness under Noisy Labels IJCAI 2024