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34,437 papers (4 classified directly here)

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Papers (including subtopics)

A Practitioner's Guide to Real-World Continual Multimodal Pretraining NeurIPS 2024 A Privacy-preserving Approach to Ingest Knowledge from Proprietary Web-based to Locally Run Models for Medical Progress Note Generation ACL 2024 A Privacy-Preserving Corpus for Occupational Health in Spanish: Evaluation for NER and Classification Tasks NAACL 2024 A Privacy Preserving Federated Learning (PPFL) Based Cognitive Digital Twin (CDT) Framework for Smart Cities AAAI 2024 A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts ICML 2024 APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation CVPR 2024 APT: Adaptive Pruning and Tuning Pretrained Language Models for Efficient Training and Inference ICML 2024 AQ-DETR: Low-Bit Quantized Detection Transformer with Auxiliary Queries AAAI 2024 AQuA – Combining Experts’ and Non-Experts’ Views To Assess Deliberation Quality in Online Discussions Using LLMs COLING 2024 Arabic Synonym BERT-based Adversarial Examples for Text Classification EACL 2024 AraCLIP: Cross-Lingual Learning for Effective Arabic Image Retrieval ACL 2024 ARAIDA: Analogical Reasoning-Augmented Interactive Data Annotation ACL 2024 A Random Projection Approach to Personalized Federated Learning: Enhancing Communication Efficiency, Robustness, and Fairness JMLR 2024 Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification AAAI 2024 Arbitrary-Scale Video Super-resolution Guided by Dynamic Context AAAI 2024 ARC: A Generalist Graph Anomaly Detector with In-Context Learning NeurIPS 2024 Arcee’s MergeKit: A Toolkit for Merging Large Language Models EMNLP 2024 Archaeology at MLSP 2024: Machine Translation for Lexical Complexity Prediction and Lexical Simplification NAACL 2024 Archimedes-AUEB at SemEval-2024 Task 5: LLM explains Civil Procedure SemEval 2024 Are Conventional SNNs Really Efficient? A Perspective from Network Quantization CVPR 2024 Are Data Augmentation Methods in Named Entity Recognition Applicable for Uncertainty Estimation? EMNLP 2024 A Reinforcement Learning Approach to Improve Low-Resource Machine Translation Leveraging Domain Monolingual Data COLING 2024 Are Large-scale Soft Labels Necessary for Large-scale Dataset Distillation? NeurIPS 2024 Are LLM-based Evaluators Confusing NLG Quality Criteria? ACL 2024 Are LLMs Breaking MT Metrics? Results of the WMT24 Metrics Shared Task EMNLP 2024