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few-shot learning

3398 papers

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Also known as

FSL FEW-SHOT

Co-occurring keywords

large language model (13587) zero-shot learning (3650) transfer learning (5449) in-context learning (1405) text classification (6793) domain adaptation (4595) prompt engineering (1135) representation learning (6206) language model (4599) contrastive learning (4032)

Papers

Thinking about how to extract: Energizing LLMs’ emergence capabilities for document-level event argument extraction ACL 2024
Exact Fusion via Feature Distribution Matching for Few-shot Image Generation CVPR 2024
Challenges in End-to-End Policy Extraction from Climate Action Plans ACL 2024
SportQA: A Benchmark for Sports Understanding in Large Language Models NAACL 2024
Few-shot Question Generation for Reading Comprehension ACL 2024
TLab at #SMM4H 2024: Retrieval-Augmented Generation for ADE Extraction and Normalization ACL 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024
From Nile Sands to Digital Hands: Machine Translation of Coptic Texts ACL 2024
HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images CVPR 2024
Pirates at ArabicNLU2024: Enhancing Arabic Word Sense Disambiguation using Transformer-Based Approaches ACL 2024
Zero- and Few-Shots Knowledge Graph Triplet Extraction with Large Language Models ACL 2024
A Prompting Assignment for Exploring Pretrained LLMs ACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024
SELM: Enhancing Speech Emotion Recognition for Out-of-Domain Scenarios INTERSPEECH 2024
PACIT: Unlocking the Power of Examples for Better In-Context Instruction Tuning ACL 2024
Revisiting OPRO: The Limitations of Small-Scale LLMs as Optimizers ACL 2024
Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples ACL 2024
Team NLPeers at Chemotimelines 2024: Evaluation of two timeline extraction methods, can generative LLM do it all or is smaller model fine-tuning still relevant ? NAACL 2024
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation ACL 2024
X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification ACL 2024
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024
UniGen: Universal Domain Generalization for Sentiment Classification via Zero-shot Dataset Generation EMNLP 2024
Towards Low-Resource Harmful Meme Detection with LMM Agents EMNLP 2024
Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024
Iterative Forward Tuning Boosts In-Context Learning in Language Models ACL 2024