SOTAVerified

In-Context Learning

Papers

Showing 51100 of 2297 papers

TitleStatusHype
Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning TasksCode3
AutoTimes: Autoregressive Time Series Forecasters via Large Language ModelsCode3
In-Context Learning for Extreme Multi-Label ClassificationCode3
Generative Multimodal Models are In-Context LearnersCode3
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language ModelsCode3
Fine-Tuning Language Models with Just Forward PassesCode3
Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human SupervisionCode3
Large Language Models Are Human-Level Prompt EngineersCode3
ConTextTab: A Semantics-Aware Tabular In-Context LearnerCode2
CausalPFN: Amortized Causal Effect Estimation via In-Context LearningCode2
Exploring the Roles of Large Language Models in Reshaping Transportation Systems: A Survey, Framework, and RoadmapCode2
OntologyRAG: Better and Faster Biomedical Code Mapping with Retrieval-Augmented Generation (RAG) Leveraging Ontology Knowledge Graphs and Large Language ModelsCode2
NeoBERT: A Next-Generation BERTCode2
JoLT: Joint Probabilistic Predictions on Tabular Data Using LLMsCode2
Enhancing Retrieval-Augmented Generation: A Study of Best PracticesCode2
X-Prompt: Towards Universal In-Context Image Generation in Auto-Regressive Vision Language Foundation ModelsCode2
KV Shifting Attention Enhances Language ModelingCode2
AMAGO-2: Breaking the Multi-Task Barrier in Meta-Reinforcement Learning with TransformersCode2
Toward Automated Algorithm Design: A Survey and Practical Guide to Meta-Black-Box-OptimizationCode2
What is Wrong with Perplexity for Long-context Language Modeling?Code2
TabDPT: Scaling Tabular Foundation ModelsCode2
A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context ReasoningCode2
Differential TransformerCode2
A Simple Image Segmentation Framework via In-Context ExamplesCode2
Small Language Models: Survey, Measurements, and InsightsCode2
A Controlled Study on Long Context Extension and Generalization in LLMsCode2
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to RefuseCode2
xGen-MM (BLIP-3): A Family of Open Large Multimodal ModelsCode2
Optimus-1: Hybrid Multimodal Memory Empowered Agents Excel in Long-Horizon TasksCode2
SPINACH: SPARQL-Based Information Navigation for Challenging Real-World QuestionsCode2
Sibyl: Simple yet Effective Agent Framework for Complex Real-world ReasoningCode2
SpreadsheetLLM: Encoding Spreadsheets for Large Language ModelsCode2
Just read twice: closing the recall gap for recurrent language modelsCode2
MG-Verilog: Multi-grained Dataset Towards Enhanced LLM-assisted Verilog GenerationCode2
Finding Transformer Circuits with Edge PruningCode2
Can LLMs Learn by Teaching for Better Reasoning? A Preliminary StudyCode2
InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesCode2
In-Context Editing: Learning Knowledge from Self-Induced DistributionsCode2
CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and GenerationCode2
Generative Pre-trained Speech Language Model with Efficient Hierarchical TransformerCode2
Knowledge Circuits in Pretrained TransformersCode2
FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic PredictionCode2
NoteLLM-2: Multimodal Large Representation Models for RecommendationCode2
Before Generation, Align it! A Novel and Effective Strategy for Mitigating Hallucinations in Text-to-SQL GenerationCode2
Let's Fuse Step by Step: A Generative Fusion Decoding Algorithm with LLMs for Multi-modal Text RecognitionCode2
Fine-tuned In-Context Learning Transformers are Excellent Tabular Data ClassifiersCode2
Many-Shot In-Context Learning in Multimodal Foundation ModelsCode2
Memory MosaicsCode2
Linearizing Large Language ModelsCode2
PropertyGPT: LLM-driven Formal Verification of Smart Contracts through Retrieval-Augmented Property GenerationCode2
Show:102550
← PrevPage 2 of 46Next →

No leaderboard results yet.