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In-Context Learning

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Showing 1351–1400 of 2297 papers

TitleStatusHype
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
Two-stage LLM Fine-tuning with Less Specialization and More Generalization—0
Pretrained transformer efficiently learns low-dimensional target functions in-context—0
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models—0
Privacy Preserving Prompt Engineering: A Survey—0
Private prediction for large-scale synthetic text generation—0
Probing Causality Manipulation of Large Language Models—0
In-Context Probing: Toward Building Robust Classifiers via Probing Large Language Models—0
How Proficient Are Large Language Models in Formal Languages? An In-Depth Insight for Knowledge Base Question Answering—0
Problem-Solving Logic Guided Curriculum In-Context Learning for LLMs Complex Reasoning—0
PRODIGY: Enabling In-context Learning Over Graphs—0
Prompt4Vis: Prompting Large Language Models with Example Mining and Schema Filtering for Tabular Data Visualization—0
Prompt-Augmented Linear Probing: Scaling beyond the Limit of Few-shot In-Context Learners—0
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models—0
Prompt-Based Cost-Effective Evaluation and Operation of ChatGPT as a Computer Programming Teaching Assistant—0
Prompt, Condition, and Generate: Classification of Unsupported Claims with In-Context Learning—0
Prompting Language Models for Linguistic Structure—0
Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring—0
Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation—0
Prompting Wireless Networks: Reinforced In-Context Learning for Power Control—0
Prompting with Phonemes: Enhancing LLM Multilinguality for non-Latin Script Languages—0
PromptMind Team at MEDIQA-CORR 2024: Improving Clinical Text Correction with Error Categorization and LLM Ensembles—0
Promptor: A Conversational and Autonomous Prompt Generation Agent for Intelligent Text Entry Techniques—0
PromptRefine: Enhancing Few-Shot Performance on Low-Resource Indic Languages with Example Selection from Related Example Banks—0
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering—0
Provable In-context Learning for Mixture of Linear Regressions using Transformers—0
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learning—0
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning—0
Psy-Insight: Explainable Multi-turn Bilingual Dataset for Mental Health Counseling—0
PunchBench: Benchmarking MLLMs in Multimodal Punchline Comprehension—0
Large Language Models Leverage External Knowledge to Extend Clinical Insight Beyond Language Boundaries—0
Quantifying and Enabling the Interpretability of CLIP-like Models—0
Quantifying Interpretability in CLIP Models with Concept Consistency—0
Question Suggestion for Conversational Shopping Assistants Using Product Metadata—0
QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory—0
RAGSys: Item-Cold-Start Recommender as RAG System—0
Rapid Word Learning Through Meta In-Context Learning—0
Rationale-Augmented Ensembles in Language Models—0
RB-SQL: A Retrieval-based LLM Framework for Text-to-SQL—0
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