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Rethinking the role of demonstrations what makes in-context learning work (94) 사진

In-Context Learning, In Context

MachineLearningLM: Scaling Many-shot In-context Learning via Continued Pretraining

Frontiers | Prompt engineering as a new 21st century skill

2502.08009] The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

In-Context Learning】Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?-CSDN博客

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

Edge 317: Understanding In-Context Learning

In-Context Learning with Iterative Demonstration Selection

EVOKE: EVOKING CRITICAL THINKING ABILITIES IN LLMS VIA REVIEWER-AUTHOR PROMPT EDITING

In-Context Learning】Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?-CSDN博客

2502.08009] The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

PDF) Schema for In-Context Learning

Inducing structure in reward learning by learning features - Andreea Bobu, Marius Wiggert, Claire Tomlin, Anca D Dragan, 2022

When More is More? When For an LLM is Enough? | by Salvatore Raieli | Towards AI

All You Need to Know about In-Context Learning | Towards Data Science

Learning to Select In-Context Demonstration Preferred by Large Language Model

In-Context Learning for LLMs

DCLMD: dynamic clustering and label mapping distribution for constructing in -context learning demonstrations | The Journal of Supercomputing

Overcoming classic challenges for artificial neural networks by providing incentives and practice | Nature Machine Intelligence

21_prompt_engineering2

In-Context Learning, In Context

EVOKE: EVOKING CRITICAL THINKING ABILITIES IN LLMS VIA REVIEWER-AUTHOR PROMPT EDITING

大模型概念解析| In-context Learning-CSDN博客

转：in-context learning浅显易懂解释-CSDN博客

In-Context Learning, In Context

How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog

The “Curious Case of Contexts” in Retrieval‐Augmented Generation With a Combination of Labeled and Unlabeled Data - Santra - 2025 - WIREs Data Mining and Knowledge Discovery - Wiley Online Library

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Underline

[Paper Review] Noisy Channel LM | Rethinking the role of Demonstrations | Prototypical Verbalizer

Sewon Min | Underline

How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog

PDF] R3 Prompting: Review, Rephrase and Resolve for Chain-of-Thought Reasoning in Large Language Models under Noisy Context | Semantic Scholar

In-Context Learning, In Context

Homework 1 is out on the course website. • OpenAI credits should hopefully come through in the next few days. Meanwhile, i

From Practice to Print: Rethinking Picture-Making From the Print Forward returns for a 2026 cycle! In this 6-week workshop, students will share their work, learn the basics of the path from image

PDF] Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Semantic Scholar

The Big Picture of AI Research - by Sebastian Ruder

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Underline

Modern Advances in Prompt Engineering

Edge 317: Understanding In-Context Learning

Meta In-Context Learning: Harnessing Large Language Models for Electrical Data Classification

The Big Picture of AI Research

Large language models meet NLP: a survey

How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog

Modern Advances in Prompt Engineering

Multi-Dimensional Evaluation of Text Summarization with In-Context Learning - ArXiv:2306

Demonstration Selection for In-Context Learning via Reinforcement Learning

In-Context Learning：上下文学习- 智源社区

Modern Advances in Prompt Engineering

大模型·上下文学习/ICL(1)：ICL从诞生到两篇机制的解释- 知乎

Prompting and In-Context Learning with Large Language Models

Rethinking AI tool design in education

Day6-lec7-读in-context learning原理分析两篇- 知乎

Moving beyond social categories by incorporating context in social psychological theory | Nature Reviews Psychology

In-Context Learning: An Alignment Survey — LessWrong

PDF) Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

In-Context Learning, In Context

2502.08009] The Geometry of Prompting: Unveiling Distinct Mechanisms of Task Adaptation in Language Models

DCLMD: dynamic clustering and label mapping distribution for constructing in -context learning demonstrations | The Journal of Supercomputing

读论文】Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?-CSDN博客

How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog

What Is In-Context Learning in Deep Learning?

Sewon Min | Underline

The single most insightful paper that I read after the initial wave of ICL papers was one that further shifted my understanding on

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

Knowledge Graph-Based In-Context Learning for Advanced Fault Diagnosis in Sensor Networks

The Spectrum of In-Context Learning: Lessons for RAG Systems | by Anthony Alcaraz | CodeX | Medium

PDF] When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks | Semantic Scholar

对于大型语言模型的两种期待.pdf

LLMs & Contextual Demonstration. Large Language Models are able to learn… | by Cobus Greyling | Medium

In-Context Learning, In Context

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

WHICH EXAMPLES TO ANNOTATE FOR IN-CONTEXT LEARNING? TOWARDS EFFECTIVE AND EFFICIENT SELECTION

All You Need to Know about In-Context Learning | Towards Data Science

PDF] The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis | Semantic Scholar

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process

Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context Learning

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

Toward large reasoning models: A survey of reinforced reasoning with large language models: Patterns

Enhancing Chinese Address Parsing in Low-Resource Scenarios through In-Context Learning

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Underline

Optimizing Demonstration Selection for In-Context Learning using Data Maps

Large language models meet NLP: a survey

PDF] Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Semantic Scholar

PDF) In-Context Learning in Large Language Models: A Comprehensive Survey

This AI Paper Identifies Function Vector Heads as Key Drivers of In-Context Learning in Large Language Models - MarkTechPost

How does in-context learning work? A framework for understanding the differences from traditional supervised learning | SAIL Blog

Rethinking the Role of Demonstrations: What Makes In-Context Learning Work? | Fan Pu Zeng

LLMs & Contextual Demonstration. Large Language Models are able to learn… | by Cobus Greyling | Medium

Short review on Rethinking the role of Demonstrations: What makes In-context Learning Work?

The Whole is Better than the Sum: Using Aggregated Demonstrations in In-Context Learning for Sequential Recommendation

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