In-Context Learning

AdapShot: Adaptive Many-Shot In-Context Learning with Semantic-Aware KV Cache Reuse ACL 2026 Adaptive Text2GQL: Integrating Structural Twig Linking and Evolutionary In-Context Learning ACL 2026 Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models ACL 2026 CDICS: Delving Into Fine-Grained Attribute for In-Context Segmentation via Compositional Prompts and Phased Decoupling CVPR 2026 Could language models win the International Linguistics Olympiad? CoNLL 2026 Deformation-based In-Context Learning for Point Cloud Understanding CVPR 2026 Experience Transfer for Multimodal LLM Agents in Minecraft Game CVPR 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 Hybrid Agents for Image Restoration CVPR 2026 INSID3: Training-Free In-Context Segmentation with DINOv3 CVPR 2026 Love Me, Love My Label: Rethinking the Role of Labels in Prompt Retrieval for Visual In-Context Learning CVPR 2026 Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding CVPR 2026 PIAST: Rapid Prompting with In-context Augmentation for Scarce Training data ACL 2026 Quantifying Aleatoric Uncertainty of In-Context Learning for Robust Measure of LLM Prediction Confidence ACL 2026 Retrieving Counterfactuals Improves Visual In-Context Learning CVPR 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 Toward Robust In-Context Learning: Leveraging Out-of-distribution Proxies for Target Inaccessible Demonstration Retrieval ACL 2026 Unveiling Causal Calibration: How LLM Scale Influences Statistical Information Interpolation CLeaR 2026 Unveiling the Limits of Large Language Models in Inferring Pragmatic Meaning from Non-Verbal Responses ACL 2026 What Makes Good Instruction-Tuning Data? An In-Context Learning Perspective ACL 2026 Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks ACL 2026 BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning ACL 2025 Bypassing the Exponential Dependency: Looped Transformers Efficiently Learn In-context by Multi-step Gradient Descent AISTATS 2025