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

ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization EACL 2026

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

Persuasion Tokens for Editing Factual Knowledge in LLMs EACL 2026

Science Across Languages: Assessing LLM Multilingual Translation of Scientific Papers 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

Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour EACL 2026

Beyond Semantics: How Temporal Biases Shapes Retrieval in Transformer and State-Space Models EACL 2026

Pelican Soup Framework: A Theoretical Framework for Language Model Capabilities EACL 2026

Seeing All Sides: Multi-Perspective In-Context Learning for Subjective NLP EACL 2026

Beyond Many-Shot Translation: Scaling In-Context Demonstrations For Low-Resource Machine Translation EACL 2026

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

LILAD: Learning In-context Lyapunov-stable Adaptive Dynamics Models AAAI 2026

Scaling-up Perceptual Video Quality Assessment 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

Learning to Generate Structured Meshes with In-Context: Toward Generalization in Mesh Generation AAAI 2026