SOTAVerified

In-Context Learning

Papers

Showing 191200 of 2297 papers

TitleStatusHype
BASE-SQL: A powerful open source Text-To-SQL baseline approachCode1
OntoTune: Ontology-Driven Self-training for Aligning Large Language ModelsCode1
LLM-Supported Natural Language to Bash TranslationCode1
Enhancing Reasoning to Adapt Large Language Models for Domain-Specific ApplicationsCode1
Transformers Boost the Performance of Decision Trees on Tabular Data across Sample SizesCode1
Can Transformers Learn Full Bayesian Inference in Context?Code1
AdaptiveLog: An Adaptive Log Analysis Framework with the Collaboration of Large and Small Language ModelCode1
A Study of In-Context-Learning-Based Text-to-SQL ErrorsCode1
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoningCode1
ImagineFSL: Self-Supervised Pretraining Matters on Imagined Base Set for VLM-based Few-shot LearningCode1
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