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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

A Survey on In-context Learning EMNLP 2024
Effective Demonstration Annotation for In-Context Learning via Language Model-Based Determinantal Point Process EMNLP 2024
Evaluating Large Language Models via Linguistic Profiling EMNLP 2024
With Ears to See and Eyes to Hear: Sound Symbolism Experiments with Multimodal Large Language Models EMNLP 2024
What do Large Language Models Need for Machine Translation Evaluation? EMNLP 2024
Induct-Learn: Short Phrase Prompting with Instruction Induction EMNLP 2024
OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition CVPR 2024
Hard Prompts Made Interpretable: Sparse Entropy Regularization for Prompt Tuning with RL ACL 2024
Prototypical Reward Network for Data-Efficient RLHF ACL 2024
ANHALTEN: Cross-Lingual Transfer for German Token-Level Reference-Free Hallucination Detection ACL 2024
Achilles-Bench: A Challenging Benchmark for Low-Resource Evaluation ACL 2024
The Fine-Tuning Paradox: Boosting Translation Quality Without Sacrificing LLM Abilities ACL 2024
DKEC: Domain Knowledge Enhanced Multi-Label Classification for Diagnosis Prediction EMNLP 2024
AnaloBench: Benchmarking the Identification of Abstract and Long-context Analogies 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
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting EMNLP 2024
Fewer is More: Boosting Math Reasoning with Reinforced Context Pruning EMNLP 2024
Large Language Models Are Poor Clinical Decision-Makers: A Comprehensive Benchmark EMNLP 2024
Preserving Generalization of Language models in Few-shot Continual Relation Extraction EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024
Optimizing Chinese Lexical Simplification Across Word Types: A Hybrid Approach EMNLP 2024
Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024
Investigating Large Language Models for Complex Word Identification in Multilingual and Multidomain Setups EMNLP 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP 2024