SOTAVerified

In-Context Learning

Papers

Showing 251275 of 2297 papers

TitleStatusHype
Learning Fine-Grained Grounded Citations for Attributed Large Language ModelsCode1
LibreLog: Accurate and Efficient Unsupervised Log Parsing Using Open-Source Large Language ModelsCode1
ArchCode: Incorporating Software Requirements in Code Generation with Large Language ModelsCode1
Fuzz-Testing Meets LLM-Based Agents: An Automated and Efficient Framework for Jailbreaking Text-To-Image Generation ModelsCode1
Adversarial Text Rewriting for Text-aware Recommender SystemsCode1
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionCode1
Unveiling In-Context Learning: A Coordinate System to Understand Its Working MechanismCode1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Fine-tuning Multimodal Large Language Models for Product BundlingCode1
Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG SystemsCode1
Visual Prompt Selection for In-Context Learning SegmentationCode1
Unmasking Trees for Tabular DataCode1
One Prompt is not Enough: Automated Construction of a Mixture-of-Expert PromptsCode1
STBench: Assessing the Ability of Large Language Models in Spatio-Temporal AnalysisCode1
Retrieval-style In-Context Learning for Few-shot Hierarchical Text ClassificationCode1
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context LearningCode1
ICLEval: Evaluating In-Context Learning Ability of Large Language ModelsCode1
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training DataCode1
LIVE: Learnable In-Context Vector for Visual Question AnsweringCode1
Learning to Generate Answers with Citations via Factual Consistency ModelsCode1
MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property PredictionCode1
Can Large Language Models Always Solve Easy Problems if They Can Solve Harder Ones?Code1
Soft Prompting for Unlearning in Large Language ModelsCode1
Probing the Decision Boundaries of In-context Learning in Large Language ModelsCode1
Are Large Language Models Good Statisticians?Code1
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