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In-Context Learning

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Showing 1276–1300 of 2297 papers

TitleStatusHype
Probing Causality Manipulation of Large Language Models—0
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models—0
In-Context Learning with Reinforcement Learning for Incomplete Utterance Rewriting—0
Investigating LLM Applications in E-Commerce—0
Multimodal Contrastive In-Context Learning—0
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMsCode0
Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models—0
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization—0
Transformers are Minimax Optimal Nonparametric In-Context Learners—0
Clinical Insights: A Comprehensive Review of Language Models in Medicine—0
Memorization in In-Context Learning—0
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory—0
Benchmarking Large Language Models for Math Reasoning TasksCode0
Self-Refined Generative Foundation Models for Wireless Traffic Prediction—0
Recording for Eyes, Not Echoing to Ears: Contextualized Spoken-to-Written Conversion of ASR Transcripts—0
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning—0
In-Context Learning with Representations: Contextual Generalization of Trained Transformers—0
Out-of-distribution generalization via composition: a lens through induction heads in TransformersCode0
Unlocking the Power of LLM Uncertainty for Active In-Context Example Selection—0
Large Language Models Might Not Care What You Are Saying: Prompt Format Beats Descriptions—0
LLM-PCGC: Large Language Model-based Point Cloud Geometry Compression—0
Trust-Oriented Adaptive Guardrails for Large Language Models—0
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Fast Training Dataset Attribution via In-Context Learning—0
Large Language Models Know What Makes Exemplary Contexts—0
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