in-context learning

1369 papers

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Also known as

ICL IC ICCG ICRL

Co-occurring keywords

large language model (12755) few-shot learning (3390) prompt engineering (1128) zero-shot learning (3637) language model (4573) retrieval-augmented generation (1459) text classification (6776) machine translation (2472) multimodal learning (4622) question answering (2904)

Papers

Thoughts to Target: Enhance Planning for Target-driven Conversation EMNLP 2024

Pioneering Reliable Assessment in Text-to-Image Knowledge Editing: Leveraging a Fine-Grained Dataset and an Innovative Criterion EMNLP 2024

LLMs learn governing principles of dynamical systems, revealing an in-context neural scaling law EMNLP 2024

Accurate and Data-Efficient Toxicity Prediction when Annotators Disagree EMNLP 2024

Demonstration Selection Strategies for Numerical Time Series Data-to-Text EMNLP 2024

Making Large Language Models Better Reasoners with Orchestrated Streaming Experiences EMNLP 2024

Chain-of-Dictionary Prompting Elicits Translation in Large Language Models EMNLP 2024

How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning? EMNLP 2024

How Far Can We Extract Diverse Perspectives from Large Language Models? EMNLP 2024

A Multi-Perspective Analysis of Memorization in Large Language Models EMNLP 2024

VILA: On Pre-training for Visual Language Models CVPR 2024

ARC: A Generalist Graph Anomaly Detector with In-Context Learning NIPS 2024

Chain of Thoughtlessness? An Analysis of CoT in Planning NIPS 2024

EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models NIPS 2024

Unleashing the Potential of the Diffusion Model in Few-shot Semantic Segmentation NIPS 2024

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization NIPS 2024

ACES: Generating a Diversity of Challenging Programming Puzzles with Autotelic Generative Models NIPS 2024

Can LLMs Learn by Teaching for Better Reasoning? A Preliminary Study NIPS 2024

Transformer verbatim in-context retrieval across time and scale CONLL 2024

Large Language Model Recall Uncertainty is Modulated by the Fan Effect CONLL 2024

RAG-Driver: Generalisable Driving Explanations with Retrieval-Augmented In-Context Multi-Modal Large Language Model Learning RSS 2024

Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification SEMEVAL 2024

yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges SEMEVAL 2024

SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection SEMEVAL 2024

MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity SEMEVAL 2024