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In-Context Learning

19 papers

Papers per year

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Papers

What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective ACL 2026
Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026
Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models ACL 2026
PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ACL 2026
Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks ACL 2026
Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning ACL 2026
Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026
Fair-CCD: Mitigating Bias in Large Language Models for Tabular Classification Through Context-Contrastive Decoding ACL 2026
From 1,000,000 Users to Every User: Scaling Up Personalized Preference for User-level Alignment ACL 2026
Structured Semantic Information Helps Retrieve Better Examples for In-Context Learning Applied to Few-Shot Relation Extraction ACL 2026
Thinking in Schemas: Robust Syllogistic Reasoning in LLMs ACL 2026
AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse ACL 2026
Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL 2026
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning ACL 2025
Dynamic Uncertainty Ranking: Enhancing Retrieval-Augmented In-Context Learning for Long-Tail Knowledge in LLMs NAACL 2025
Exploring Diverse In-Context Configurations for Image Captioning NIPS 2023
Multilingual LLMs are Better Cross-lingual In-context Learners with Alignment ACL 2023
Why Can GPT Learn In-Context? Language Models Secretly Perform Gradient Descent as Meta-Optimizers ACL 2023
On the Compositional Generalization Gap of In-Context Learning EMNLP 2022