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In-Context Learning

Papers

Showing 451500 of 2297 papers

TitleStatusHype
C3PO: Critical-Layer, Core-Expert, Collaborative Pathway Optimization for Test-Time Expert Re-MixingCode1
ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text GamesCode1
AICL: Action In-Context Learning for Video Diffusion ModelCode1
Revealing the Parallel Multilingual Learning within Large Language ModelsCode1
An Explanation of In-context Learning as Implicit Bayesian InferenceCode1
In-Context Learning Creates Task VectorsCode1
Benchmarking Cognitive Biases in Large Language Models as EvaluatorsCode1
In-Context Learning Demonstration Selection via Influence AnalysisCode1
In-Context Learning for Few-Shot Dialogue State TrackingCode1
Dynamic In-context Learning with Conversational Models for Data Extraction and Materials Property PredictionCode1
DS^2-ABSA: Dual-Stream Data Synthesis with Label Refinement for Few-Shot Aspect-Based Sentiment AnalysisCode1
Are Large Language Models Good Statisticians?Code1
Dual Operating Modes of In-Context LearningCode1
E-InMeMo: Enhanced Prompting for Visual In-Context LearningCode1
A Closer Look at In-Context Learning under Distribution ShiftsCode1
Taken out of context: On measuring situational awareness in LLMsCode1
In-Context Learning State Vector with Inner and Momentum OptimizationCode1
Teaching Large Language Models an Unseen Language on the FlyCode1
In-Context Learning May Not Elicit Trustworthy Reasoning: A-Not-B Errors in Pretrained Language ModelsCode1
DeID-GPT: Zero-shot Medical Text De-Identification by GPT-4Code1
DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context LearningCode1
In-context Pretraining: Language Modeling Beyond Document BoundariesCode1
BERTs are Generative In-Context LearnersCode1
Are Human-generated Demonstrations Necessary for In-context Learning?Code1
Large Language Models are few(1)-shot Table ReasonersCode1
Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context LearningCode1
PICLe: Eliciting Diverse Behaviors from Large Language Models with Persona In-Context LearningCode1
In-Context Learning with Many Demonstration ExamplesCode1
LIVE: Learnable In-Context Vector for Visual Question AnsweringCode1
Bring Your Own KG: Self-Supervised Program Synthesis for Zero-Shot KGQACode1
kNN Prompting: Beyond-Context Learning with Calibration-Free Nearest Neighbor InferenceCode1
The Unreliability of Explanations in Few-shot Prompting for Textual ReasoningCode1
BRIEF: Bridging Retrieval and Inference for Multi-hop Reasoning via CompressionCode1
Are Emergent Abilities in Large Language Models just In-Context Learning?Code1
Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World EnvironmentsCode1
Dolphins: Multimodal Language Model for DrivingCode1
Do Large Language Models Know What They Don't Know?Code1
QUITO: Accelerating Long-Context Reasoning through Query-Guided Context CompressionCode1
Bio-xLSTM: Generative modeling, representation and in-context learning of biological and chemical sequencesCode1
DIALIGHT: Lightweight Multilingual Development and Evaluation of Task-Oriented Dialogue Systems with Large Language ModelsCode1
Interpretable Machine Learning for TabPFNCode1
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM PruningCode1
Label-Guided In-Context Learning for Named Entity RecognitionCode1
Towards In-context Scene UnderstandingCode1
Is In-Context Learning Sufficient for Instruction Following in LLMs?Code1
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-FinetuningCode1
DiLM: Distilling Dataset into Language Model for Text-level Dataset DistillationCode1
Label Words are Anchors: An Information Flow Perspective for Understanding In-Context LearningCode1
Language Modeling Is CompressionCode1
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