SOTAVerified

In-Context Learning

Papers

Showing 301325 of 2297 papers

TitleStatusHype
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
ExPT: Synthetic Pretraining for Few-Shot Experimental DesignCode1
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and FindingsCode1
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language ModelsCode1
Fact-Checking Complex Claims with Program-Guided ReasoningCode1
Explore In-Context Learning for 3D Point Cloud UnderstandingCode1
Exploring Diverse In-Context Configurations for Image CaptioningCode1
ChatCAD+: Towards a Universal and Reliable Interactive CAD using LLMsCode1
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsCode1
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language ModelsCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
Fast Prompt Alignment for Text-to-Image GenerationCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type AnnotationCode1
Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language ModelsCode1
Can Transformers Learn Full Bayesian Inference in Context?Code1
Fine-tuning Large Language Models for Entity MatchingCode1
eP-ALM: Efficient Perceptual Augmentation of Language ModelsCode1
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?Code1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Can Language Models Solve Graph Problems in Natural Language?Code1
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute ManipulationCode1
Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?Code1
Data Curation Alone Can Stabilize In-context LearningCode1
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsCode1
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