few-shot learning

How does Architecture Influence the Base Capabilities of Pre-trained Language Models? A Case Study Based on FFN-Wider and MoE Transformers NeurIPS 2024 How Does In-Context Learning Help Prompt Tuning? EACL 2024 How to Solve Few-Shot Abusive Content Detection Using the Data We Actually Have COLING 2024 HSE NLP Team at MEDIQA-CORR 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction NAACL 2024 Human in the Loop: How to Effectively Create Coherent Topics by Manually Labeling Only a Few Documents per Class COLING 2024 HuTuMotion: Human-Tuned Navigation of Latent Motion Diffusion Models with Minimal Feedback AAAI 2024 Hyperbolic vs Euclidean Embeddings in Few-Shot Learning: Two Sides of the Same Coin WACV 2024 HyperMix: Out-of-Distribution Detection and Classification in Few-Shot Settings WACV 2024 Hypothesis Generation with Large Language Models EMNLP 2024 Hypothesis Search: Inductive Reasoning with Language Models ICLR 2024 Identifying Self-Disclosures of Use, Misuse and Addiction in Community-based Social Media Posts NAACL 2024 ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024 IF-Font: Ideographic Description Sequence-Following Font Generation NeurIPS 2024 ILLUMINER: Instruction-tuned Large Language Models as Few-shot Intent Classifier and Slot Filler COLING 2024 ImplicaTR: A Granular Dataset for Natural Language Inference and Pragmatic Reasoning in Turkish ACL 2024 Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their Defenses NeurIPS 2024 Improve Meta-learning for Few-Shot Text Classification with All You Can Acquire from the Tasks EMNLP 2024 Improving Argument Effectiveness Across Ideologies using Instruction-tuned Large Language Models EMNLP 2024 Improving Continual Few-shot Relation Extraction through Relational Knowledge Distillation and Prototype Augmentation COLING 2024 Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model EMNLP 2024 Improving LLM-based KGQA for multi-hop Question Answering with implicit reasoning in few-shot examples ACL 2024 Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction COLING 2024 Improving Sentence Embeddings with Automatic Generation of Training Data Using Few-shot Examples ACL 2024 In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024 In-context Learning and Gradient Descent Revisited NAACL 2024