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Found 5 papers, 3 papers with code
CANDY: A Benchmark for Continuous Approximate Nearest Neighbor Search with Dynamic Data Ingestion
Although numerous AKNN algorithms and benchmarks have been developed recently to evaluate their effectiveness, the dynamic nature of real-world data presents significant challenges that existing benchmarks fail to address.
Generalization-Enhanced Code Vulnerability Detection via Multi-Task Instruction Fine-Tuning
First, we utilize the vulnerability patches to construct a vulnerability localization task.
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback
Large Language Models (LLMs) have shown remarkable progress in automated code generation.
Scalable Optimal Margin Distribution Machine
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performance than the traditional large margin based counterparts.
Semantic and Syntactic Enhanced Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from sentences, where each triplet includes an entity, its associated sentiment, and the opinion span explaining the reason for the sentiment.
