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in-context learning

1405 papers

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Also known as

ICL

Co-occurring keywords

large language model (13587) few-shot learning (3398) prompt engineering (1135) zero-shot learning (3650) language model (4599) retrieval-augmented generation (1592) text classification (6793) machine translation (2499) multimodal learning (4645) question answering (2963)

Papers

Towards Understanding How Transformers Learn In-context Through a Representation Learning Lens NIPS 2024
Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling NIPS 2024
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 2024
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models AAAI 2024
Training Dynamics of Multi-Head Softmax Attention for In-Context Learning: Emergence, Convergence, and Optimality (extended abstract) COLT 2024
Few-Shot Data Synthesis for Open Domain Multi-Hop Question Answering EACL 2024
GrounDial: Human-norm Grounded Safe Dialog Response Generation EACL 2024
In-Context Example Retrieval from Multi-Perspectives for Few-Shot Aspect-Based Sentiment Analysis COLING 2024
Language Models for Text Classification: Is In-Context Learning Enough? COLING 2024
Locally Differentially Private In-Context Learning COLING 2024
In-Contextual Gender Bias Suppression for Large Language Models EACL 2024
Enhancing In-Context Learning via Implicit Demonstration Augmentation ACL 2024
Assessing In-context Learning and Fine-tuning for Topic Classification of German Web Data ACL 2024
CICLe: Conformal In-Context Learning for Largescale Multi-Class Food Risk Classification ACL 2024
Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm ACL 2024
SCALE: Synergized Collaboration of Asymmetric Language Translation Engines ACL 2024
Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments ACL 2024
Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models ACL 2024
LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024
Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024
LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024
What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024
The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024
An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024