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few-shot learning

3390 papers

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Also known as

ICL FSL FSAS FSED FSOD FSSL FSR FSC FFG FSAC FEW-SHOT FSCD FSIG FLAD FSCIL FSS FSRE FSIL CDFSL FS-XLT

Co-occurring keywords

large language model (12755) zero-shot learning (3637) transfer learning (5442) in-context learning (1369) text classification (6776) domain adaptation (4578) prompt engineering (1128) language model (4573) representation learning (6174) contrastive learning (3979)

Papers

Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations EMNLP 2024
Traffic Light or Light Traffic? Investigating Phrasal Semantics in Large Language Models EMNLP 2024
Hit the Nail on the Head: Parameter-Efficient Multi-task Tuning via Human Language Intervention EMNLP 2024
Representational Isomorphism and Alignment of Multilingual Large Language Models EMNLP 2024
Semantic Token Reweighting for Interpretable and Controllable Text Embeddings in CLIP EMNLP 2024
“Seeing the Big through the Small”: Can LLMs Approximate Human Judgment Distributions on NLI from a Few Explanations? EMNLP 2024
Not All Tokens Are What You Need for Pretraining NIPS 2024
Generated and Pseudo Content guided Prototype Refinement for Few-shot Point Cloud Segmentation NIPS 2024
Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NIPS 2024
Simple and Fast Distillation of Diffusion Models NIPS 2024
MARVEL: Multidimensional Abstraction and Reasoning through Visual Evaluation and Learning NIPS 2024
Enabling Adaptive Agent Training in Open-Ended Simulators by Targeting Diversity NIPS 2024
TrajCLIP: Pedestrian trajectory prediction method using contrastive learning and idempotent networks NIPS 2024
HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings WACV 2024
Self-Supervised Learning for Visual Relationship Detection Through Masked Bounding Box Reconstruction WACV 2024
HELA-VFA: A Hellinger Distance-Attention-Based Feature Aggregation Network for Few-Shot Classification WACV 2024
A Transformer-Based Adaptive Prototype Matching Network for Few-Shot Semantic Segmentation IJCAI 2024
Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection COLING 2024
Calibrating LLM-Based Evaluator COLING 2024
Enhancing Few-Shot Topic Classification with Verbalizers. a Study on Automatic Verbalizer and Ensemble Methods COLING 2024
Harnessing the Power of Large Language Model for Uncertainty Aware Graph Processing COLING 2024
How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have COLING 2024
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences NAACL 2024
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries NAACL 2024
Promptly Predicting Structures: The Return of Inference NAACL 2024