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In-Context Learning

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Showing 551–575 of 2297 papers

TitleStatusHype
Journalism-Guided Agentic In-Context Learning for News Stance Detection—0
DocIE@XLLM25: In-Context Learning for Information Extraction using Fully Synthetic Demonstrations—0
Meta-Learning Transformers to Improve In-Context Generalization—0
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks—0
SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning—0
Chain-of-Thought Enhanced Shallow Transformers for Wireless Symbol Detection—0
Early Stopping Tabular In-Context Learning—0
SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models—0
Automatic Demonstration Selection for LLM-based Tabular Data Classification—0
A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs—0
Case-based Reasoning Augmented Large Language Model Framework for Decision Making in Realistic Safety-Critical Driving Scenarios—0
How to Retrieve Examples in In-context Learning to Improve Conversational Emotion Recognition using Large Language Models?—0
From Memories to Maps: Mechanisms of In-Context Reinforcement Learning in Transformers—0
Universal pre-training by iterated random computationCode0
AgenticControl: An Automated Control Design Framework Using Large Language Models—0
In-Context Learning Strategies Emerge Rationally—0
When and How Unlabeled Data Provably Improve In-Context Learning—0
In-Context Learning for Gradient-Free Receiver Adaptation: Principles, Applications, and Theory—0
Conquering the Retina: Bringing Visual in-Context Learning to OCTCode0
Revisiting Chain-of-Thought Prompting: Zero-shot Can Be Stronger than Few-shot—0
Vela: Scalable Embeddings with Voice Large Language Models for Multimodal Retrieval—0
Assessing the Limits of In-Context Learning beyond Functions using Partially Ordered Relation—0
Leveraging In-Context Learning for Language Model Agents—0
Evaluating Cell Type Inference in Vision Language Models Under Varying Visual ContextCode0
Surprise Calibration for Better In-Context Learning—0
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