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In-Context Learning

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Showing 1851–1900 of 2297 papers

TitleStatusHype
Dynamic Demonstrations Controller for In-Context LearningCode0
Improving Planning with Large Language Models: A Modular Agentic ArchitectureCode1
One for All: Towards Training One Graph Model for All Classification TasksCode2
Benchmarking Cognitive Biases in Large Language Models as EvaluatorsCode1
Batch Calibration: Rethinking Calibration for In-Context Learning and Prompt Engineering—0
A Benchmark for Learning to Translate a New Language from One Grammar BookCode0
Visual In-Context Learning for Few-Shot Eczema Segmentation—0
MKRAG: Medical Knowledge Retrieval Augmented Generation for Medical Question Answering—0
Generative Speech Recognition Error Correction with Large Language Models and Task-Activating Prompting—0
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning—0
ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning—0
User Simulation with Large Language Models for Evaluating Task-Oriented Dialogue—0
Calibrating LLM-Based EvaluatorCode0
A Practical Survey on Zero-shot Prompt Design for In-context Learning—0
HRoT: Hybrid prompt strategy and Retrieval of Thought for Table-Text Hybrid Question Answering—0
Affect Recognition in Conversations Using Large Language Models—0
In-context Interference in Chat-based Large Language Models—0
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot GenerationCode1
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
Language-Oriented Communication with Semantic Coding and Knowledge Distillation for Text-to-Image Generation—0
Toward Unified Controllable Text Generation via Regular Expression InstructionCode0
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning—0
Language Modeling Is CompressionCode1
GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models—0
In-Context Learning for Text Classification with Many Labels—0
Few-Shot Adaptation for Parsing Contextual Utterances with LLMsCode0
Understanding Catastrophic Forgetting in Language Models via Implicit InferenceCode1
MindAgent: Emergent Gaming Interaction—0
Context is Environment—0
EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context LearningCode0
Neural Machine Translation Models Can Learn to be Few-shot Learners—0
ICLEF: In-Context Learning with Expert Feedback for Explainable Style TransferCode0
How to Handle Different Types of Out-of-Distribution Scenarios in Computational Argumentation? A Comprehensive and Fine-Grained Field StudyCode0
An Empirical Evaluation of Prompting Strategies for Large Language Models in Zero-Shot Clinical Natural Language Processing—0
Ambiguity-Aware In-Context Learning with Large Language Models—0
MMICL: Empowering Vision-language Model with Multi-Modal In-Context LearningCode2
Speech-to-Speech Translation with Discrete-Unit-Based Style Transfer—0
Can Whisper perform speech-based in-context learning?—0
CONVERSER: Few-Shot Conversational Dense Retrieval with Synthetic Data GenerationCode0
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language ModelCode0
Breaking through the learning plateaus of in-context learning in Transformer—0
Uncovering mesa-optimization algorithms in Transformers—0
Textbooks Are All You Need II: phi-1.5 technical report—0
Hypothesis Search: Inductive Reasoning with Language ModelsCode1
FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning—0
Code-Style In-Context Learning for Knowledge-Based Question AnsweringCode1
MMHQA-ICL: Multimodal In-context Learning for Hybrid Question Answering over Text, Tables and Images—0
EPA: Easy Prompt Augmentation on Large Language Models via Multiple Sources and Multiple Targets—0
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty—0
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