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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
LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs
ACL 2024
RECOST: External Knowledge Guided Data-efficient Instruction Tuning
ACL 2024
AutoRef: Generating Refinements of Reviews Given Guidelines
ACL 2024
MM-Narrator: Narrating Long-form Videos with Multimodal In-Context Learning
CVPR 2024
MVBench: A Comprehensive Multi-modal Video Understanding Benchmark
CVPR 2024
SEGMENT+: Long Text Processing with Short-Context Language Models
EMNLP 2024
Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals
EMNLP 2024
LaRS: Latent Reasoning Skills for Chain-of-Thought Reasoning
EMNLP 2024
Deeper Insights Without Updates: The Power of In-Context Learning Over Fine-Tuning
EMNLP 2024
ProTrix: Building Models for Planning and Reasoning over Tables with Sentence Context
EMNLP 2024
Position Paper: Data-Centric AI in the Age of Large Language Models
EMNLP 2024
Personalized Video Comment Generation
EMNLP 2024
Transformer verbatim in-context retrieval across time and scale
EMNLP 2024
Large Language Model Recall Uncertainty is Modulated by the Fan Effect
EMNLP 2024
LLM-Based Robust Product Classification in Commerce and Compliance
EMNLP 2024
AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization
EMNLP 2024
Learning to Adapt Large Language Models to One-Shot In-Context Intent Classification on Unseen Domains
EMNLP 2024
E-Commerce Product Categorization with LLM-based Dual-Expert Classification Paradigm
EMNLP 2024
Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
EMNLP 2024
From Language to Pixels: Task Recognition and Task Learning in LLMs
EMNLP 2024
MLissard: Multilingual Long and Simple Sequential Reasoning Benchmarks
EMNLP 2024
MLT-DR: Multi-Lingual/Task Demonstration RetrievalAn Attempt towards Generalized Retriever for In-Context Learning
EMNLP 2024
Selecting Shots for Demographic Fairness in Few-Shot Learning with Large Language Models
EMNLP 2024
The SETU-ADAPT Submissions to the WMT24 Low-Resource Indic Language Translation Task
EMNLP 2024
Shortcomings of LLMs for Low-Resource Translation: Retrieval and Understanding Are Both the Problem
EMNLP 2024
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