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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

Unveiling the Art of Heading Design: A Harmonious Blend of Summarization, Neology, and Algorithm ACL 2024
CycleAlign: Iterative Distillation from Black-box LLM to White-box Models for Better Human Alignment ACL 2024
Learning Task Decomposition to Assist Humans in Competitive Programming ACL 2024
Can LLMs Learn from Previous Mistakes? Investigating LLMs’ Errors to Boost for Reasoning ACL 2024
MapCoder: Multi-Agent Code Generation for Competitive Problem Solving ACL 2024
QueryAgent: A Reliable and Efficient Reasoning Framework with Environmental Feedback based Self-Correction ACL 2024
Eliciting Better Multilingual Structured Reasoning from LLMs through Code ACL 2024
Self-Evolving GPT: A Lifelong Autonomous Experiential Learner ACL 2024
The Unreasonable Effectiveness of Easy Training Data for Hard Tasks ACL 2024
Prompted Aspect Key Point Analysis for Quantitative Review Summarization ACL 2024
MULFE: A Multi-Level Benchmark for Free Text Model Editing ACL 2024
Question-Analysis Prompting Improves LLM Performance in Reasoning Tasks ACL 2024
It is Simple Sometimes: A Study On Improving Aspect-Based Sentiment Analysis Performance ACL 2024
Comments as Natural Logic Pivots: Improve Code Generation via Comment Perspective ACL 2024
LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024
Can Large Language Models Follow Concept Annotation Guidelines? A Case Study on Scientific and Financial Domains ACL 2024
Revealing the Parallel Multilingual Learning within Large Language Models EMNLP 2024
Self-AMPLIFY: Improving Small Language Models with Self Post Hoc Explanations EMNLP 2024
Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently EMNLP 2024
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism EMNLP 2024
Learning Personalized Alignment for Evaluating Open-ended Text Generation EMNLP 2024
A Systematic Analysis of Large Language Models as Soft Reasoners: The Case of Syllogistic Inferences EMNLP 2024
Rethinking the Evaluation of In-Context Learning for LLMs EMNLP 2024
The Mystery of In-Context Learning: A Comprehensive Survey on Interpretation and Analysis EMNLP 2024
SecCoder: Towards Generalizable and Robust Secure Code Generation EMNLP 2024