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Few-Shot Learning

2558 directly classified papers

Papers per year

Papers

KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction NAACL 2024
KU-DMIS at MEDIQA-CORR 2024: Exploring the Reasoning Capabilities of Small Language Models in Medical Error Correction NAACL 2024
Using Large Language Models to Assess Young Students’ Writing Revisions NAACL 2024
LLMs in Short Answer Scoring: Limitations and Promise of Zero-Shot and Few-Shot Approaches NAACL 2024
Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024
Exploring LLM Prompting Strategies for Joint Essay Scoring and Feedback Generation NAACL 2024
Revisiting Few-Shot Object Detection with Vision-Language Models NIPS 2024
Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024
ClinicalMamba: A Generative Clinical Language Model on Longitudinal Clinical Notes NAACL 2024
EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction NAACL 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024
Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024
CoMM: Collaborative Multi-Agent, Multi-Reasoning-Path Prompting for Complex Problem Solving NAACL 2024
QueST: Self-Supervised Skill Abstractions for Learning Continuous Control NIPS 2024
Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024
Sentiment Analysis in the Era of Large Language Models: A Reality Check NAACL 2024
Discourse-Aware In-Context Learning for Temporal Expression Normalization NAACL 2024
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval NAACL 2024
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024
SportQA: A Benchmark for Sports Understanding in Large Language Models NAACL 2024
Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning NIPS 2024
PELMS: Pre-training for Effective Low-Shot Multi-Document Summarization NAACL 2024
It’s All Relative! – A Synthetic Query Generation Approach for Improving Zero-Shot Relevance Prediction NAACL 2024
GenTKG: Generative Forecasting on Temporal Knowledge Graph with Large Language Models NAACL 2024
APE: Active Learning-based Tooling for Finding Informative Few-shot Examples for LLM-based Entity Matching NAACL 2024