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

EchoPrompt: Instructing the Model to Rephrase Queries for Improved In-context Learning NAACL 2024

Crafting In-context Examples according to LMs’ Parametric Knowledge NAACL 2024

In-Context Example Ordering Guided by Label Distributions NAACL 2024

Multilingual Machine Translation with Large Language Models: Empirical Results and Analysis NAACL 2024

Evaluating Step-by-Step Reasoning through Symbolic Verification NAACL 2024

Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison NAACL 2024

Exploring Automated Distractor Generation for Math Multiple-choice Questions via Large Language Models NAACL 2024

Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning NAACL 2024

Anti-LM Decoding for Zero-shot In-context Machine Translation NAACL 2024

Self-Demos: Eliciting Out-of-Demonstration Generalizability in Large Language Models NAACL 2024

InstructEval: Systematic Evaluation of Instruction Selection Methods NAACL 2024

A Comparison of Fine-Tuning and In-Context Learning for Clause-Level Morphosyntactic Alternation NAACL 2024

Towards Fine-Grained Pedagogical Control over English Grammar Complexity in Educational Text Generation NAACL 2024

Assessing Student Explanations with Large Language Models Using Fine-Tuning and Few-Shot Learning NAACL 2024

KnowLab_AIMed at MEDIQA-CORR 2024: Chain-of-Though (CoT) prompting strategies for medical error detection and correction NAACL 2024

PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles NAACL 2024

EM_Mixers at MEDIQA-CORR 2024: Knowledge-Enhanced Few-Shot In-Context Learning for Medical Error Detection and Correction NAACL 2024

Mashee at SemEval-2024 Task 8: The Impact of Samples Quality on the Performance of In-Context Learning for Machine Text Classification NAACL 2024

yangqi at SemEval-2024 Task 9: Simulate Human Thinking by Large Language Model for Lateral Thinking Challenges NAACL 2024

SHROOM-INDElab at SemEval-2024 Task 6: Zero- and Few-Shot LLM-Based Classification for Hallucination Detection NAACL 2024

In-context Learning and Gradient Descent Revisited NAACL 2024

TISE: A Tripartite In-context Selection Method for Event Argument Extraction NAACL 2024

VisLingInstruct: Elevating Zero-Shot Learning in Multi-Modal Language Models with Autonomous Instruction Optimization NAACL 2024

MDR: Model-Specific Demonstration Retrieval at Inference Time for In-Context Learning NAACL 2024

Investigating the Emergent Audio Classification Ability of ASR Foundation Models NAACL 2024