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

G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models ACL 2025

Encode Errors: Representational Retrieval of In-Context Demonstrations for Multilingual Grammatical Error Correction ACL 2025

Modeling Background Knowledge with Frame Semantics for Fine-grained Sentiment Classification ACL 2025

Beyond Generation: Leveraging LLM Creativity to Overcome Label Bias in Classification ACL 2025

I2R-NLP at SemEval-2025 Task 8: Question Answering on Tabular Data ACL 2025

UIMP-Aaman at SemEval-2025 Task11: Detecting Intensity and Emotion in Social Media and News ACL 2025

CogStack-KCL-UCL at ArchEHR-QA 2025: Investigating Hybrid LLM Approaches for Grounded Clinical Question Answering ACL 2025

TueCL at SemEval-2025 Task 1: Image-Augmented Prompting and Multimodal Reasoning for Enhanced Idiom Understanding ACL 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives ACL 2025

Quantifying Semantic Emergence in Language Models ACL 2025

Prompt, Translate, Fine-Tune, Re-Initialize, or Instruction-Tune? Adapting LLMs for In-Context Learning in Low-Resource Languages ACL 2025

Customizing In-context Learning for Dynamic Interest Adaption in LLM-based Recommendation ACL 2025

BOSE: A Systematic Evaluation Method Optimized for Base Models ACL 2025

Using Large Language Models to Perform MIPVU-Inspired Automatic Metaphor Detection ACL 2025

NLP_CIMAT at SemEval-2025 Task 3: Just Ask GPT or look Inside. A prompt and Neural Networks Approach to Hallucination Detection ACL 2025

Pragmatic Theories Enhance Understanding of Implied Meanings in LLMs AACL 2025

OPI-DRO-HEL at at SemEval-2025 Task 11: Few-shot prompting for Text-based Emotion Recognition ACL 2025

SAFE-SQL: Self-Augmented In-Context Learning with Fine-grained Example Selection for Text-to-SQL EMNLP 2025

Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse Attention ACL 2025

CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation CVPR 2025

Task Facet Learning: A Structured Approach To Prompt Optimization ACL 2025

PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation CVPR 2025

Predicting Depression in Screening Interviews from Interactive Multi-Theme Collaboration ACL 2025

DICP: Deep In-Context Prompt for Event Causality Identification EMNLP 2025

Diverse In-Context Example Selection After Decomposing Programs and Aligned Utterances Improves Semantic Parsing NAACL 2025