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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024
D2R2: Diffusion-based Representation with Random Distance Matching for Tabular Few-shot Learning NIPS 2024
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024
Visual In-Context Learning for Large Vision-Language Models ACL 2024
Using Large Language Models to Assess Young Students’ Writing Revisions NAACL 2024
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes NAACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024
Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction NAACL 2024
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024
Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles NAACL 2024
Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor INTERSPEECH 2024
Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SEMEVAL 2024
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning NIPS 2024
DGPN: A Dual Graph Prototypical Network for Few-Shot Speech Spoofing Algorithm Recognition INTERSPEECH 2024
DeakinNLP at BioLaySumm: Evaluating Fine-tuning Longformer and GPT-4 Prompting for Biomedical Lay Summarization ACL 2024
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024
Large Language Models Provide Human-Level Medical Text Snippet Labeling NAACL 2024
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction NAACL 2024
Leveraging Code to Improve In-Context Learning for Semantic Parsing NAACL 2024