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In-Context Learning

336 directly classified papers

Papers per year

Papers

Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs AAAI 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
MAGIC: Generating Self-Correction Guideline for In-Context Text-to-SQL AAAI 2025
How Do Position Encodings Affect Length Generalization? Case Studies On In-Context Function Learning AAAI 2025
ARTICLE: Annotator Reliability Through In-Context Learning AAAI 2025
Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models AAAI 2025
Exploring Task-Level Optimal Prompts for Visual In-Context Learning AAAI 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction AAAI 2025
When natural language is not enough: The limits of in-context learning demonstrations in multilingual reasoning NAACL 2025
In-context Prompt-augmented Micro-video Popularity Prediction AAAI 2025
Stable Diffusion Models are Secretly Good at Visual In-Context Learning ICCV 2025
LLMs are Better Than You Think: Label-Guided In-Context Learning for Named Entity Recognition EMNLP 2025
Tuning-Free Accountable Intervention for LLM Deployment – a Metacognitive Approach AAAI 2025
Exploring In-context Example Generation for Machine Translation ACL 2025
Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection ACL 2025
Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification ACL 2025
Prompting Metaphoricity: Soft Labeling with Large Language Models in Popular Communication of Science Tweets in Spanish ACL 2025
LLMs in alliance with Edit-based models: advancing In-Context Learning for Grammatical Error Correction by Specific Example Selection ACL 2025
From Introspection to Best Practices: Principled Analysis of Demonstrations in Multimodal In-Context Learning NAACL 2025
GAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs EMNLP 2025
Cropper: Vision-Language Model for Image Cropping through In-Context Learning CVPR 2025
Monte Carlo Sampling for Analyzing In-Context Examples NAACL 2025
CrystalICL: Enabling In-Context Learning for Crystal Generation EMNLP 2025
SAIL: Sample-Centric In-Context Learning for Document Information Extraction AAAI 2025