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

Beyond Plain Demos: A Demo-Centric Anchoring Paradigm for In-Context Learning in Alzheimer’s Disease Detection AAAI 2026

RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA AAAI 2026

Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026

From Few-Shot Learning to Data-Efficient Intelligence AAAI 2026

Medverse: A Universal Model for Full-Resolution 3D Medical Image Segmentation, Transformation and Enhancement AAAI 2026

Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning WACV 2026

Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning EACL 2026

AudioJudge: Understanding What Works in Large Audio Model Based Speech Evaluation EACL 2026

CliniBench: A Clinical Outcome Prediction Benchmark for Generative and Encoder-Based Language Models EACL 2026

On the Additive Compositionality of Task Vectors in Vision–Language Models EACL 2026

Mitigating Copy Bias in In-Context Learning through Neuron Pruning EACL 2026

Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation EACL 2026

Where do LLMs currently stand on biomedical NER in both clean and noisy settings ? EACL 2026

CLICKER: Cross-Lingual Knowledge Editing via In-Context Learning with Adaptive Stepwise Reasoning EACL 2026

Making Large Language Models Speak Tulu: Structured Prompting for an Extremely Low-Resource Language EACL 2026

Can Linguistically Related Languages Guide LLM Translation in Low-Resource Settings? EACL 2026

ICM-Fusion: In-Context Meta-Optimized LoRA Fusion for Multi-Task Adaptation AAAI 2026

Towards Understanding In-Context Learning of Transformers Under Non-I.I.D. Scenarios AAAI 2026

Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation AAAI 2026

MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning AAAI 2026

Hypothesis-Driven Reasoning for Large Language Models AAAI 2026

REACT-LLM: A Benchmark for Evaluating LLM Integration with Causal Features in Clinical Prognostic Tasks AAAI 2026

Skill Path: Unveiling Language Skills from Circuit Graphs AAAI 2026

SkillGen: Learning Domain Skills for In-Context Sequential Decision Making AAAI 2026

Counterfactual-based Cognitive Alignment In-Context Learning for Relation Extraction AAAI 2026