← Keywords

in-context learning

1369 papers

Explore in graph

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

Benchmarking Hallucination in Large Language Models Based on Unanswerable Math Word Problem COLING 2024
Can Large Language Models Learn Translation Robustness from Noisy-Source In-context Demonstrations? COLING 2024
Effective and Efficient Conversation Retrieval for Dialogue State Tracking with Implicit Text Summaries NAACL 2024
Self-Prompting Large Language Models for Zero-Shot Open-Domain QA NAACL 2024
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning NAACL 2024
LLMs Are Few-Shot In-Context Low-Resource Language Learners NAACL 2024
How are Prompts Different in Terms of Sensitivity? NAACL 2024
A Study on the Calibration of In-context Learning NAACL 2024
Team UTSA-NLP at SemEval 2024 Task 5: Prompt Ensembling for Argument Reasoning in Civil Procedures with GPT4 NAACL 2024
A Mechanism for Sample-Efficient In-Context Learning for Sparse Retrieval Tasks ALT 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-Contextual Gender Bias Suppression for Large Language Models EACL 2024
Adapting LLM Predictions in In-Context Learning with Data Priors EMNLP 2024
Are Large Language Models State-of-the-art Quality Estimators for Machine Translation of User-generated Content? EMNLP 2024
Trained Transformers Learn Linear Models In-Context JMLR 2024
The unreasonable effectiveness of large language models for low-resource clause-level morphology: In-context generalization or prior exposure? NAACL 2024
Transformers are Minimax Optimal Nonparametric In-Context Learners NIPS 2024
Retrieval & Fine-Tuning for In-Context Tabular Models NIPS 2024
How Transformers Utilize Multi-Head Attention in In-Context Learning? A Case Study on Sparse Linear Regression NIPS 2024
Theoretical Foundations of Deep Selective State-Space Models NIPS 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models NIPS 2024
Transformers on Markov data: Constant depth suffices NIPS 2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond NIPS 2024