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few-shot demonstration

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large language model (5) few-shot learning (3) prompt optimization (2) instruction tuning (2) in-context learning (2) behavior embedding (1) trajectory information (1) robot manipulator (1) successive halving (1) query understanding (1)

Papers

Neuron-Aware Active Few-Shot Learning for LLMs ACL 2026 Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks ACL 2026 AutoPDL: Automatic Prompt Optimization for LLM Agents AutoML 2025 Leveraging Domain Knowledge at Inference Time for LLM Translation: Retrieval versus Generation NAACL 2025 SkillVerse : Assessing and Enhancing LLMs with Tree Evaluation ACL 2025 Exploring the Compositional Deficiency of Large Language Models in Mathematical Reasoning Through Trap Problems EMNLP 2024 INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning ACL 2024 Make-An-Agent: A Generalizable Policy Network Generator with Behavior-Prompted Diffusion NeurIPS 2024 Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs EMNLP 2024 Learning a Prior over Intent via Meta-Inverse Reinforcement Learning ICML 2019