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In-Context Learning

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Showing 651–700 of 2297 papers

TitleStatusHype
Bayesian Example Selection Improves In-Context Learning for Speech, Text, and Visual Modalities—0
Generalization to New Sequential Decision Making Tasks with In-Context Learning—0
Cross-Lingual Supervision improves Large Language Models Pre-training—0
Crosslingual Retrieval Augmented In-context Learning for Bangla—0
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
CrossICL: Cross-Task In-Context Learning via Unsupervised Demonstration Transfer—0
An efficient approach to represent enterprise web application structure using Large Language Model in the service of Intelligent Quality Engineering—0
Transformers Meet In-Context Learning: A Universal Approximation Theory—0
Cross-domain Few-shot In-context Learning for Enhancing Traffic Sign Recognition—0
CrossCodeBench: Benchmarking Cross-Task Generalization of Source Code Models—0
Cropper: Vision-Language Model for Image Cropping through In-Context Learning—0
Balanced Multi-Factor In-Context Learning for Multilingual Large Language Models—0
Distributed In-Context Learning under Non-IID Among Clients—0
Generating Diverse Training Samples for Relation Extraction with Large Language Models—0
Trust-Oriented Adaptive Guardrails for Large Language Models—0
BAGEL: Bootstrapping Agents by Guiding Exploration with Language—0
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning—0
Crafting a Good Prompt or Providing Exemplary Dialogues? A Study of In-Context Learning for Persona-based Dialogue Generation—0
CPRM: A LLM-based Continual Pre-training Framework for Relevance Modeling in Commercial Search—0
Ancient Korean Archive Translation: Comparison Analysis on Statistical phrase alignment, LLM in-context learning, and inter-methodological approach—0
Gender-specific Machine Translation with Large Language Models—0
CPP-UT-Bench: Can LLMs Write Complex Unit Tests in C++?—0
AWRaCLe: All-Weather Image Restoration using Visual In-Context Learning—0
An Application of Large Language Models to Coding Negotiation Transcripts—0
GEC-RAG: Improving Generative Error Correction via Retrieval-Augmented Generation for Automatic Speech Recognition Systems—0
AutoTrial: Prompting Language Models for Clinical Trial Design—0
COSMOS: Predictable and Cost-Effective Adaptation of LLMs—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
Identifying and Analyzing Task-Encoding Tokens in Large Language Models—0
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models—0
Automatic text-based speech overlap classification: A novel approach using Large Language Models—0
Fine-tuning multilingual language models in Twitter/X sentiment analysis: a study on Eastern-European V4 languages—0
Conversation Style Transfer using Few-Shot Learning—0
Controlling Personality Style in Dialogue with Zero-Shot Prompt-Based Learning—0
Analyzing limits for in-context learning—0
Gated recurrent neural networks discover attention—0
Gating is Weighting: Understanding Gated Linear Attention through In-context Learning—0
Generalization from Starvation: Hints of Universality in LLM Knowledge Graph Learning—0
Automatic Domain Adaptation by Transformers in In-Context Learning—0
Controlling Large Language Model Agents with Entropic Activation Steering—0
Analyzing Context Contributions in LLM-based Machine Translation—0
Controlled Text Generation with Natural Language Instructions—0
Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection—0
Automatic Demonstration Selection for LLM-based Tabular Data Classification—0
Relational reasoning and inductive bias in transformers trained on a transitive inference task—0
Automatic Combination of Sample Selection Strategies for Few-Shot Learning—0
Context Understanding in Computer Vision: A Survey—0
AutoMathKG: The automated mathematical knowledge graph based on LLM and vector database—0
Analyzing and Adapting Large Language Models for Few-Shot Multilingual NLU: Are We There Yet?—0
Context-Scaling versus Task-Scaling in In-Context Learning—0
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