conftrace_

few-shot learning

3,578 papers

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Also known as

FSL FEWSHOT FEW-SHOT

Co-occurring keywords · papers mentioning both

large language model (636) zero-shot learning (455) transfer learning (369) in-context learning (311) domain adaptation (209) text classification (204) representation learning (182) prompt engineering (179) language model (170) vision-language model (169)

Papers

RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024 Rectifying Demonstration Shortcut in In-Context Learning NAACL 2024 Referee-Meta-Learning for Fast Adaptation of Locational Fairness AAAI 2024 ReflectSumm: A Benchmark for Course Reflection Summarization COLING 2024 Relevant Intrinsic Feature Enhancement Network for Few-Shot Semantic Segmentation AAAI 2024 REPLUG: Retrieval-Augmented Black-Box Language Models NAACL 2024 Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024 Rethinking Few-shot 3D Point Cloud Semantic Segmentation CVPR 2024 Rethinking Prior Information Generation with CLIP for Few-Shot Segmentation CVPR 2024 Rethinking Skill Extraction in the Job Market Domain using Large Language Models EACL 2024 Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers ACL 2024 Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration ACL 2024 Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue EMNLP 2024 Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract) AAAI 2024 RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models ACL 2024 Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification AAAI 2024 ROCES: Robust Class Expression Synthesis in Description Logics via Iterative Sampling IJCAI 2024 RoCoIns: Enhancing Robustness of Large Language Models through Code-Style Instructions COLING 2024 RoQLlama: A Lightweight Romanian Adapted Language Model EMNLP 2024 RU at WASSA 2024 Shared Task: Task-Aligned Prompt for Predicting Empathy and Distress ACL 2024 RVT-2: Learning Precise Manipulation from Few Demonstrations RSS 2024 SafetyBench: Evaluating the Safety of Large Language Models ACL 2024 SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation ICLR 2024