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Found 9 papers, 5 papers with code
aiXcoder-7B: A Lightweight and Effective Large Language Model for Code Processing
In this paper, we propose a lightweight and effective LLM for code completion named aiXcoder-7B.
DevEval: A Manually-Annotated Code Generation Benchmark Aligned with Real-World Code Repositories
Our experiments reveal these LLMs' coding abilities in real-world code repositories.
Generalization or Memorization: Data Contamination and Trustworthy Evaluation for Large Language Models
In this paper, we propose CDD, which stands for Contamination Detection via output Distribution for LLMs.
DevEval: Evaluating Code Generation in Practical Software Projects
Compared to previous benchmarks, DevEval aligns to practical projects in multiple dimensions, e. g., real program distributions, sufficient dependencies, and enough-scale project contexts.
Flowmind2Digital: The First Comprehensive Flowmind Recognition and Conversion Approach
Automated conversion methods are essential to overcome manual conversion challenges.
Coarse to Fine: Video Retrieval before Moment Localization
The current state-of-the-art methods for video corpus moment retrieval (VCMR) often use similarity-based feature alignment approach for the sake of convenience and speed.
TWEETSUM: Event oriented Social Summarization Dataset
In this paper, we construct TWEETSUM, a new event-oriented dataset for social summarization.
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
When aligning two groups of local features from two images, we view it as a graph matching problem and propose a cross-graph embedded-alignment (CGEA) layer to jointly learn and embed topology information to local features, and straightly predict similarity score.
An End-to-End Network for Panoptic Segmentation
Panoptic segmentation, which needs to assign a category label to each pixel and segment each object instance simultaneously, is a challenging topic.
