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Few-Shot Learning

2558 directly classified papers

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Papers

LANID: LLM-assisted New Intent Discovery COLING 2024
KnowVrDU: A Unified Knowledge-aware Prompt-Tuning Framework for Visually-rich Document Understanding COLING 2024
Knowledge-Guided Cross-Topic Visual Question Generation COLING 2024
The Impact of Geometric Complexity on Neural Collapse in Transfer Learning NIPS 2024
ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NIPS 2024
Know-Adapter: Towards Knowledge-Aware Parameter-Efficient Transfer Learning for Few-shot Named Entity Recognition COLING 2024
Investigating the Robustness of Modelling Decisions for Few-Shot Cross-Topic Stance Detection: A Preregistered Study COLING 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024
Exploring the Generalization of Cancer Clinical Trial Eligibility Classifiers across Diseases COLING 2024
Few shot chain-of-thought driven reasoning to prompt LLMs for open-ended medical question answering EMNLP 2024
AnyTrans: Translate AnyText in the Image with Large Scale Models EMNLP 2024
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection EMNLP 2024
Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024
Tree of Problems: Improving structured problem solving with compositionality EMNLP 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP 2024
Generating Demonstrations for In-Context Compositional Generalization in Grounded Language Learning EMNLP 2024
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024
Cross-lingual Back-Parsing: Utterance Synthesis from Meaning Representation for Zero-Resource Semantic Parsing EMNLP 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024
CoverICL: Selective Annotation for In-Context Learning via Active Graph Coverage EMNLP 2024
OpenSep: Leveraging Large Language Models with Textual Inversion for Open World Audio Separation EMNLP 2024
Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction EMNLP 2024
Small Language Models Improve Giants by Rewriting Their Outputs EACL 2024
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies EMNLP 2024