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In-Context Learning

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Showing 1301–1325 of 2297 papers

TitleStatusHype
On Automating Security Policies with Contemporary LLMs—0
On-Chip Learning via Transformer In-Context Learning—0
One controller to rule them all—0
One-Layer Transformer Provably Learns One-Nearest Neighbor In Context—0
One size doesn't fit all: Predicting the Number of Examples for In-Context Learning—0
One Step of Gradient Descent is Provably the Optimal In-Context Learner with One Layer of Linear Self-Attention—0
One Task Vector is not Enough: A Large-Scale Study for In-Context Learning—0
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion—0
On Linear Representations and Pretraining Data Frequency in Language Models—0
On Scaling Up a Multilingual Vision and Language Model—0
On the Compositional Generalization Gap of In-Context Learning—0
On the Effect of Pretraining Corpora on In-context Learning by a Large-scale Language Model—0
A Survey on Stability of Learning with Limited Labelled Data and its Sensitivity to the Effects of Randomness—0
On the ERM Principle in Meta-Learning—0
On the Essence and Prospect: An Investigation of Alignment Approaches for Big Models—0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
On the generalization of language models from in-context learning and finetuning: a controlled study—0
On the Hardness of Faithful Chain-of-Thought Reasoning in Large Language Models—0
On the Learn-to-Optimize Capabilities of Transformers in In-Context Sparse Recovery—0
On the Out-Of-Distribution Generalization of Multimodal Large Language Models—0
On the Out-Of-Distribution Generalization of Large Multimodal Models—0
On the Potential and Limitations of Few-Shot In-Context Learning to Generate Metamorphic Specifications for Tax Preparation Software—0
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks—0
On the Power of Context-Enhanced Learning in LLMs—0
On the Privacy Risk of In-context Learning—0
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