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Few-Shot Learning

2,562 papers

Papers per year

3
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Papers

Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection COLING 2024
RankPrompt: Step-by-Step Comparisons Make Language Models Better Reasoners COLING 2024
SuperST: Superficial Self-Training for Few-Shot Text Classification COLING 2024
Target-Adaptive Consistency Enhanced Prompt-Tuning for Multi-Domain Stance Detection COLING 2024
Teaching Large Language Models to Translate on Low-resource Languages with Textbook Prompting COLING 2024
TECA: A Two-stage Approach with Controllable Attention Soft Prompt for Few-shot Nested Named Entity Recognition COLING 2024
Towards Few-shot Entity Recognition in Document Images: A Graph Neural Network Approach Robust to Image Manipulation COLING 2024
Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents COLING 2024
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction COLING 2024
ZeLa: Advancing Zero-Shot Multilingual Semantic Parsing with Large Language Models and Chain-of-Thought Strategies COLING 2024
Zero- and Few-Shot Prompting with LLMs: A Comparative Study with Fine-tuned Models for Bangla Sentiment Analysis COLING 2024
Enhancing Lexical Complexity Prediction through Few-shot Learning with Gpt-3 COLING 2024
Chinese UMR annotation: Can LLMs help? COLING 2024
Low-Resource Machine Translation through Retrieval-Augmented LLM Prompting: A Study on the Mambai Language COLING 2024
Using In-context Learning to Automate AI Image Generation for a Gamified Text Labelling Task COLING 2024
BERTbek: A Pretrained Language Model for Uzbek COLING 2024
Prompting towards Alleviating Code-Switched Data Scarcity in Under-Resourced Languages with GPT as a Pivot COLING 2024
Offensiveness, Hate, Emotion and GPT: Benchmarking GPT3.5 and GPT4 as Classifiers on Twitter-specific Datasets COLING 2024
Efficient Algorithms for Learning Monophonic Halfspaces in Graphs COLT 2024
EditEval: An Instruction-Based Benchmark for Text Improvements CONLL 2024
Critical Questions Generation: Motivation and Challenges CONLL 2024
Generalizations across filler-gap dependencies in neural language models CONLL 2024
Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection CONLL 2024
Text2Afford: Probing Object Affordance Prediction abilities of Language Models solely from Text CONLL 2024
Findings of the Second BabyLM Challenge: Sample-Efficient Pretraining on Developmentally Plausible Corpora CONLL 2024