SOTAVerified

In-Context Learning

Papers

Showing 501550 of 2297 papers

TitleStatusHype
LLM-Supported Natural Language to Bash TranslationCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionCode1
How Likely Do LLMs with CoT Mimic Human Reasoning?Code1
Learning to Generate Answers with Citations via Factual Consistency ModelsCode1
Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasksCode1
LLM-in-the-loop: Leveraging Large Language Model for Thematic AnalysisCode1
Learning to Retrieve In-Context Examples for Large Language ModelsCode1
Embracing Collaboration Over Competition: Condensing Multiple Prompts for Visual In-Context LearningCode1
Learning Transformer ProgramsCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMsCode1
LoRA Recycle: Unlocking Tuning-Free Few-Shot Adaptability in Visual Foundation Models by Recycling Pre-Tuned LoRAsCode1
E-InMeMo: Enhanced Prompting for Visual In-Context LearningCode1
Link-Context Learning for Multimodal LLMsCode1
LiST: Lite Prompted Self-training Makes Parameter-Efficient Few-shot LearnersCode1
ELICIT: LLM Augmentation via External In-Context CapabilityCode1
Eliciting In-Context Learning in Vision-Language Models for Videos Through Curated Data Distributional PropertiesCode1
Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue GenerationCode1
Efficient Many-Shot In-Context Learning with Dynamic Block-Sparse AttentionCode1
LLMeBench: A Flexible Framework for Accelerating LLMs BenchmarkingCode1
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical StudyCode1
ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language ModelsCode1
EgoNCE++: Do Egocentric Video-Language Models Really Understand Hand-Object Interactions?Code1
Do Large Language Models Know What They Don't Know?Code1
Improving Planning with Large Language Models: A Modular Agentic ArchitectureCode1
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoningCode1
Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property PredictionCode1
Dolphins: Multimodal Language Model for DrivingCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
Boosting Theory-of-Mind Performance in Large Language Models via PromptingCode1
LLM+MAP: Bimanual Robot Task Planning using Large Language Models and Planning Domain Definition LanguageCode1
Empowering Molecule Discovery for Molecule-Caption Translation with Large Language Models: A ChatGPT PerspectiveCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Entropy-Regularized Token-Level Policy Optimization for Language Agent ReinforcementCode1
Diverse Demonstrations Improve In-context Compositional GeneralizationCode1
A Dataset and Benchmark for Hospital Course Summarization with Adapted Large Language ModelsCode1
AICL: Action In-Context Learning for Video Diffusion ModelCode1
Explore In-Context Learning for 3D Point Cloud UnderstandingCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Leveraging Large Language Models to Generate Answer Set ProgramsCode1
LLM-Empowered Embodied Agent for Memory-Augmented Task Planning in Household RoboticsCode1
Machine Vision Therapy: Multimodal Large Language Models Can Enhance Visual Robustness via Denoising In-Context LearningCode1
Dual Operating Modes of In-Context LearningCode1
Mimic In-Context Learning for Multimodal TasksCode1
MAGMA -- Multimodal Augmentation of Generative Models through Adapter-based FinetuningCode1
Distinguishability Calibration to In-Context LearningCode0
Learning vs Retrieval: The Role of In-Context Examples in Regression with LLMsCode0
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