few-shot learning

Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification EACL 2024 Likelihood-based Mitigation of Evaluation Bias in Large Language Models ACL 2024 Limits of Transformer Language Models on Learning to Compose Algorithms NeurIPS 2024 Link-Context Learning for Multimodal LLMs CVPR 2024 LIVE: Learnable In-Context Vector for Visual Question Answering NeurIPS 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024 LLaMA-Based Models for Aspect-Based Sentiment Analysis ACL 2024 LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation CVPR 2024 LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion IJCAI 2024 LLMeBench: A Flexible Framework for Accelerating LLMs Benchmarking EACL 2024 LLMs Are Few-Shot In-Context Low-Resource Language Learners NAACL 2024 LLMs for Low Resource Languages in Multilingual, Multimodal and Dialectal Settings EACL 2024 LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024 LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI SemEval 2024 Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models ACL 2024 Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language COLING 2024 LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP CVPR 2024 LPNER: Label Prompt for Few-shot Nested Named Entity Recognition ACML 2024 LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images CVPR 2024 M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning AAAI 2024 Major Entity Identification: A Generalizable Alternative to Coreference Resolution EMNLP 2024 Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NeurIPS 2024 Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives COLING 2024 Make Prompts Adaptable: Bayesian Modeling for Vision-Language Prompt Learning with Data-Dependent Prior AAAI 2024