SOTAVerified

In-Context Learning

Papers

Showing 501550 of 2297 papers

TitleStatusHype
What Do Language Models Learn in Context? The Structured Task HypothesisCode1
Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual NoiseCode1
FSPO: Few-Shot Preference Optimization of Synthetic Preference Data in LLMs Elicits Effective Personalization to Real UsersCode1
Fool Your (Vision and) Language Model With Embarrassingly Simple PermutationsCode1
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionCode1
Which Examples to Annotate for In-Context Learning? Towards Effective and Efficient SelectionCode1
Fine-tuning Large Language Models for Entity MatchingCode1
Dolphins: Multimodal Language Model for DrivingCode1
XplainLLM: A Knowledge-Augmented Dataset for Reliable Grounded Explanations in LLMsCode1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
FreeAL: Towards Human-Free Active Learning in the Era of Large Language ModelsCode1
Glitter or Gold? Deriving Structured Insights from Sustainability Reports via Large Language ModelsCode1
Fact-Checking Complex Claims with Program-Guided ReasoningCode1
ExPT: Synthetic Pretraining for Few-Shot Experimental DesignCode1
Fast Prompt Alignment for Text-to-Image GenerationCode1
Exploring Multimodal Challenges in Toxic Chinese Detection: Taxonomy, Benchmark, and FindingsCode1
Exploring Effective Factors for Improving Visual In-Context LearningCode1
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language ModelsCode1
Does GPT-3 Generate Empathetic Dialogues? A Novel In-Context Example Selection Method and Automatic Evaluation Metric for Empathetic Dialogue GenerationCode1
Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property PredictionCode1
EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language ModelsCode1
Few-shot Fine-tuning vs. In-context Learning: A Fair Comparison and EvaluationCode1
ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language ModelsCode1
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical StudyCode1
Do Large Language Models Know What They Don't Know?Code1
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language ModelsCode1
Improving Planning with Large Language Models: A Modular Agentic ArchitectureCode1
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoningCode1
Explore In-Context Learning for 3D Point Cloud UnderstandingCode1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
Evolutionary Prompt Design for LLM-Based Post-ASR Error CorrectionCode1
Fine-tuning Large Language Models for Adaptive Machine TranslationCode1
Boosting Theory-of-Mind Performance in Large Language Models via PromptingCode1
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt EngineerCode1
Evolving Prompts In-Context: An Open-ended, Self-replicating PerspectiveCode1
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
ExDDV: A New Dataset for Explainable Deepfake Detection in VideoCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
Generating Traffic Scenarios via In-Context Learning to Learn Better Motion PlannerCode1
Exploring Diverse In-Context Configurations for Image CaptioningCode1
Few-shot In-context Learning for Knowledge Base Question AnsweringCode1
Good Examples Make A Faster Learner: Simple Demonstration-based Learning for Low-resource NERCode1
Dual Operating Modes of In-Context LearningCode1
A Closer Look at In-Context Learning under Distribution ShiftsCode1
An Iterative Optimizing Framework for Radiology Report Summarization with ChatGPTCode1
Distributed Rule Vectors is A Key Mechanism in Large Language Models' In-Context Learning0
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning0
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