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In-Context Learning

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Showing 1651–1675 of 2297 papers

TitleStatusHype
Uncovering Overfitting in Large Language Model Editing—0
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection—0
Can Multimodal Large Language Models Truly Perform Multimodal In-Context Learning?—0
Understanding and Predicting Human Label Variation in Natural Language Inference through Explanation—0
On the Calibration of Multilingual Question Answering LLMs—0
Understanding In-Context Learning in Transformers and LLMs by Learning to Learn Discrete Functions—0
Understanding In-context Learning of Addition via Activation Subspaces—0
Understanding In-Context Learning via Supportive Pretraining Data—0
Understanding In-Context Learning with a Pelican Soup Framework—0
Understanding Knowledge Hijack Mechanism in In-context Learning through Associative Memory—0
Understanding Memorisation in LLMs: Dynamics, Influencing Factors, and Implications—0
Understanding Task Vectors in In-Context Learning: Emergence, Functionality, and Limitations—0
Understanding the Logical Capabilities of Large Language Models via Out-of-Context Representation Learning—0
Ungrammatical-syntax-based In-context Example Selection for Grammatical Error Correction—0
Unified Medical Lesion Segmentation via Self-referring Indicator—0
Unifying Attention Heads and Task Vectors via Hidden State Geometry in In-Context Learning—0
Unifying Demonstration Selection and Compression for In-Context Learning—0
Unifying Image Processing as Visual Prompting Question Answering—0
Dynamic Universal Approximation Theory: The Basic Theory for Transformer-based Large Language Models—0
Universal Link Predictor By In-Context Learning on Graphs—0
Universal Response and Emergence of Induction in LLMs—0
Universal Self-Adaptive Prompting—0
Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning—0
Unlearnable Algorithms for In-context Learning—0
Unleashing In-context Learning of Autoregressive Models for Few-shot Image Manipulation—0
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