in-context learning

1369 papers

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Also known as

ICL IC ICCG ICRL

Co-occurring keywords

large language model (12755) few-shot learning (3390) prompt engineering (1128) zero-shot learning (3637) language model (4573) retrieval-augmented generation (1459) text classification (6776) machine translation (2472) multimodal learning (4622) question answering (2904)

Papers

Reference Trustable Decoding: A Training-Free Augmentation Paradigm for Large Language Models NIPS 2024

Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024

FastGAS: Fast Graph-based Annotation Selection for In-Context Learning ACL 2024

On-the-Fly Fusion of Large Language Models and Machine Translation NAACL 2024

Teaching Large Language Models an Unseen Language on the Fly ACL 2024

Latent Learningscape Guided In-context Learning ACL 2024

Narrowing the Gap between Zero- and Few-shot Machine Translation by Matching Styles NAACL 2024

LLMCrit: Teaching Large Language Models to Use Criteria ACL 2024

An Empirical Study of In-context Learning in LLMs for Machine Translation ACL 2024

Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models NAACL 2024

The Impact of Demonstrations on Multilingual In-Context Learning: A Multidimensional Analysis ACL 2024

What Do Language Models Learn in Context? The Structured Task Hypothesis. ACL 2024

Can LLM’s Generate Human-Like Wayfinding Instructions? Towards Platform-Agnostic Embodied Instruction Synthesis NAACL 2024

Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical Perspective NIPS 2024

The Representation Landscape of Few-Shot Learning and Fine-Tuning in Large Language Models NIPS 2024

LLMs Learn Task Heuristics from Demonstrations: A Heuristic-Driven Prompting Strategy for Document-Level Event Argument Extraction ACL 2024

Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024

On Retrieval Augmentation and the Limitations of Language Model Training NAACL 2024

LLMs in the Imaginarium: Tool Learning through Simulated Trial and Error ACL 2024

Interactive-KBQA: Multi-Turn Interactions for Knowledge Base Question Answering with Large Language Models ACL 2024

How does Multi-Task Training Affect Transformer In-Context Capabilities? Investigations with Function Classes NAACL 2024

Retrieval Augmented Fact Verification by Synthesizing Contrastive Arguments ACL 2024

ICXML: An In-Context Learning Framework for Zero-Shot Extreme Multi-Label Classification NAACL 2024

Adaptive Cross-lingual Text Classification through In-Context One-Shot Demonstrations NAACL 2024

The Evolution of Statistical Induction Heads: In-Context Learning Markov Chains NIPS 2024