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In-Context Learning

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Showing 2201–2225 of 2297 papers

TitleStatusHype
OptiSeq: Ordering Examples On-The-Fly for In-Context Learning—0
Orchid: Flexible and Data-Dependent Convolution for Sequence Modeling—0
Order Matters: Exploring Order Sensitivity in Multimodal Large Language Models—0
Out-of-Distribution Generalization of In-Context Learning: A Low-Dimensional Subspace Perspective—0
PanguIR Technical Report for NTCIR-18 AEOLLM Task—0
Path Planning for Masked Diffusion Model Sampling—0
PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design—0
Personalized Adaptation via In-Context Preference Learning—0
Perspective Transition of Large Language Models for Solving Subjective Tasks—0
PhaseEvo: Towards Unified In-Context Prompt Optimization for Large Language Models—0
Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis—0
PILLOW: Enhancing Efficient Instruction Fine-tuning via Prompt Matching—0
Plant in Cupboard, Orange on Rably, Inat Aphone. Benchmarking Incremental Learning of Situation and Language Model using a Text-Simulated Situated Environment—0
PlugMed: Improving Specificity in Patient-Centered Medical Dialogue Generation using In-Context Learning—0
PoliPrompt: A High-Performance Cost-Effective LLM-Based Text Classification Framework for Political Science—0
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation—0
Positional Information Matters for Invariant In-Context Learning: A Case Study of Simple Function Classes—0
Position Engineering: Boosting Large Language Models through Positional Information Manipulation—0
PosterO: Structuring Layout Trees to Enable Language Models in Generalized Content-Aware Layout Generation—0
Post Hoc Explanations of Language Models Can Improve Language Models—0
Post-Incorporating Code Structural Knowledge into LLMs via In-Context Learning for Code Translation—0
Potential Benefits of Employing Large Language Models in Research in Moral Education and Development—0
Power-Softmax: Towards Secure LLM Inference over Encrypted Data—0
Predictability Shapes Adaptation: An Evolutionary Perspective on Modes of Learning in Transformers—0
Preliminary Investigations of a Multi-Faceted Robust and Synergistic Approach in Semiconductor Electron Micrograph Analysis: Integrating Vision Transformers with Large Language and Multimodal Models—0
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