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Few-Shot Learning

1062 directly classified papers

Papers per year

Papers

SheffieldVeraAI at SemEval-2024 Task 4: Prompting and fine-tuning a Large Vision-Language Model for Binary Classification of Persuasion Techniques in Memes SEMEVAL 2024
Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks INTERSPEECH 2024
iREL at SemEval-2024 Task 9: Improving Conventional Prompting Methods for Brain Teasers SEMEVAL 2024
ClusterCore at SemEval-2024 Task 7: Few Shot Prompting With Large Language Models for Numeral-Aware Headline Generation SEMEVAL 2024
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting AAAI 2024
LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024
HW-TSC at SemEval-2024 Task 9: Exploring Prompt Engineering Strategies for Brain Teaser Puzzles Through LLMs SEMEVAL 2024
NLP at UC Santa Cruz at SemEval-2024 Task 5: Legal Answer Validation using Few-Shot Multi-Choice QA SEMEVAL 2024
DaVinci at SemEval-2024 Task 9: Few-shot prompting GPT-3.5 for Unconventional Reasoning SEMEVAL 2024
Multi-Expert Distillation for Few-Shot Coordination (Student Abstract) AAAI 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024
Many-Shot In-Context Learning NIPS 2024
Any-Way Meta Learning AAAI 2024
ModeLing: A Novel Dataset for Testing Linguistic Reasoning in Language Models EACL 2024
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024
Rethinking Skill Extraction in the Job Market Domain using Large Language Models EACL 2024
Aspect-Based Sentiment Analysis for Open-Ended HR Survey Responses EACL 2024
Compound Text-Guided Prompt Tuning via Image-Adaptive Cues AAAI 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024
A Few-Shot Multi-Accented Speech Classification for Indian Languages using Transformers and LLM’s Fine-Tuning Approaches EACL 2024
Self-training Strategies for Sentiment Analysis: An Empirical Study EACL 2024
Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation IJCAI 2024
Natural Language Decomposition and Interpretation of Complex Utterances IJCAI 2024
Learning Spatial Similarity Distribution for Few-shot Object Counting IJCAI 2024
A Novel Unified Architecture for Low-Shot Counting by Detection and Segmentation NIPS 2024