SOTAVerified

In-Context Learning

Papers

Showing 12511275 of 2297 papers

TitleStatusHype
FINEMATCH: Aspect-based Fine-grained Image and Text Mismatch Detection and Correction0
ProteinEngine: Empower LLM with Domain Knowledge for Protein Engineering0
"A good pun is its own reword": Can Large Language Models Understand Puns?Code0
Socratic Planner: Self-QA-Based Zero-Shot Planning for Embodied Instruction Following0
AnyPattern: Towards In-context Image Copy DetectionCode1
Towards Reliable Latent Knowledge Estimation in LLMs: Zero-Prompt Many-Shot Based Factual Knowledge ExtractionCode0
Sample Design Engineering: An Empirical Study of What Makes Good Downstream Fine-Tuning Samples for LLMsCode5
Stronger Random Baselines for In-Context LearningCode0
How Does the Textual Information Affect the Retrieval of Multimodal In-Context Learning?Code1
Exploring the landscape of large language models: Foundations, techniques, and challenges0
Point-In-Context: Understanding Point Cloud via In-Context LearningCode2
Many-Shot In-Context Learning0
Position Engineering: Boosting Large Language Models through Positional Information Manipulation0
In-Context Learning State Vector with Inner and Momentum OptimizationCode1
Grounded Language Agent for Product Search via Intelligent Web InteractionsCode0
Unveiling the Misuse Potential of Base Large Language Models via In-Context Learning0
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsCode1
Memory Sharing for Large Language Model based AgentsCode1
Evolving Interpretable Visual Classifiers with Large Language Models0
Large Language Models Can Automatically Engineer Features for Few-Shot Tabular LearningCode1
In-Context Translation: Towards Unifying Image Recognition, Processing, and Generation0
GeMQuAD : Generating Multilingual Question Answering Datasets from Large Language Models using Few Shot Learning0
Tasks People Prompt: A Taxonomy of LLM Downstream Tasks in Software Verification and Falsification Approaches0
Adapting Mental Health Prediction Tasks for Cross-lingual Learning via Meta-Training and In-context Learning with Large Language Model0
Does In-Context Learning Really Learn? Rethinking How Large Language Models Respond and Solve Tasks via In-Context LearningCode0
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