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in-context learning

1405 papers

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Also known as

ICL

Co-occurring keywords

large language model (13587) few-shot learning (3398) prompt engineering (1135) zero-shot learning (3650) language model (4599) retrieval-augmented generation (1592) text classification (6793) machine translation (2499) multimodal learning (4645) question answering (2963)

Papers

Retrieval & Fine-Tuning for In-Context Tabular Models NIPS 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NIPS 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
Theoretical Foundations of Deep Selective State-Space Models NIPS 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024
Transformers on Markov data: Constant depth suffices NIPS 2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NIPS 2024
PersonalSum: A User-Subjective Guided Personalized Summarization Dataset for Large Language Models 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
Efficient Prompt Optimization Through the Lens of Best Arm Identification NIPS 2024
Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models NIPS 2024
UniBias: Unveiling and Mitigating LLM Bias through Internal Attention and FFN Manipulation NIPS 2024
MARiA at SemEval 2024 Task-6: Hallucination Detection Through LLMs, MNLI, and Cosine similarity SEMEVAL 2024
Discovering and Articulating Frames of Communication from Social Media Using Chain-of-Thought Reasoning EACL 2024