SOTAVerified

In-Context Learning

Papers

Showing 151200 of 2297 papers

TitleStatusHype
LayoutPrompter: Awaken the Design Ability of Large Language ModelsCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and GenerationCode2
MedFMC: A Real-world Dataset and Benchmark For Foundation Model Adaptation in Medical Image ClassificationCode2
NoteLLM-2: Multimodal Large Representation Models for RecommendationCode2
What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained TransformersCode2
AppBench: Planning of Multiple APIs from Various APPs for Complex User InstructionCode1
GPT-RE: In-context Learning for Relation Extraction using Large Language ModelsCode1
Grammar Prompting for Domain-Specific Language Generation with Large Language ModelsCode1
AnyPattern: Towards In-context Image Copy DetectionCode1
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language ModelsCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Generative Multimodal Entity LinkingCode1
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
AnomalyLLM: Few-shot Anomaly Edge Detection for Dynamic Graphs using Large Language ModelsCode1
Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute ManipulationCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Function Vectors in Large Language ModelsCode1
LogicAsker: Evaluating and Improving the Logical Reasoning Ability of Large Language ModelsCode1
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
Fine-tuning Large Language Models for Entity MatchingCode1
An Explanation of In-context Learning as Implicit Bayesian InferenceCode1
Beyond Task Performance: Evaluating and Reducing the Flaws of Large Multimodal Models with In-Context LearningCode1
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationCode1
Adaptive Machine Translation with Large Language ModelsCode1
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
Fact-Checking Complex Claims with Program-Guided ReasoningCode1
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
Fast Prompt Alignment for Text-to-Image GenerationCode1
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsCode1
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language ModelsCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
BERTs are Generative In-Context LearnersCode1
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and FindingsCode1
ExPT: Synthetic Pretraining for Few-Shot Experimental DesignCode1
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language ModelsCode1
Analysing The Impact of Sequence Composition on Language Model Pre-TrainingCode1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
Explore In-Context Learning for 3D Point Cloud UnderstandingCode1
eP-ALM: Efficient Perceptual Augmentation of Language ModelsCode1
Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementCode1
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language ModelsCode1
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsCode1
Evaluating Named Entity Recognition Using Few-Shot Prompting with Large Language ModelsCode1
Evaluating Knowledge Generation and Self-Refinement Strategies for LLM-based Column Type AnnotationCode1
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