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In-Context Learning

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Showing 1476–1500 of 2297 papers

TitleStatusHype
LGR2: Language Guided Reward Relabeling for Accelerating Hierarchical Reinforcement Learning—0
TR2MTL: LLM based framework for Metric Temporal Logic Formalization of Traffic Rules—0
ThatiAR: Subjectivity Detection in Arabic News Sentences—0
On Subjective Uncertainty Quantification and Calibration in Natural Language GenerationCode0
Scenarios and Approaches for Situated Natural Language Explanations—0
Large Language Model-guided Document Selection—0
Retrieval & Fine-Tuning for In-Context Tabular Models—0
Enhancing In-Context Learning Performance with just SVD-Based Weight Pruning: A Theoretical PerspectiveCode0
VHDL-Eval: A Framework for Evaluating Large Language Models in VHDL Code Generation—0
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning—0
llmNER: (Zero|Few)-Shot Named Entity Recognition, Exploiting the Power of Large Language Models—0
Exploring the Zero-Shot Capabilities of Vision-Language Models for Improving Gaze Following—0
Aligning Large Language Models with Self-generated Preference Data—0
Improving In-Context Learning with Prediction Feedback for Sentiment AnalysisCode0
Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers—0
StatBot.Swiss: Bilingual Open Data Exploration in Natural Language—0
E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory—0
Eliciting the Priors of Large Language Models using Iterated In-Context Learning—0
Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis—0
Self-Supervised Singing Voice Pre-Training towards Speech-to-Singing Conversion—0
In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs—0
Demonstration Augmentation for Zero-shot In-context LearningCode0
Universal In-Context Approximation By Prompting Fully Recurrent ModelsCode0
Selectively Answering Visual Questions—0
Guiding ChatGPT to Generate Salient Domain SummariesCode0
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