· ai
[Paper] S3-CLIP: Video Super Resolution for Person-ReID
Tracklet quality is often treated as an afterthought in most person re-identification (ReID) methods, with the majority of research presenting architectural mod...
-
- · ai
[Paper] APEX-SWE
We introduce the AI Productivity Index for Software Engineering (APEX-SWE), a benchmark for assessing whether frontier AI models can execute economically valuab...
- · devops
[Paper] MixServe: An Automatic Distributed Serving System for MoE Models with Hybrid Parallelism Based on Fused Communication Algorithm
The Mixture of Experts (MoE) models are emerging as the latest paradigm for Large Language Models (LLMs). However, due to memory constraints, MoE models with bi...
- · ai
[Paper] Near-perfect photo-ID of the Hula painted frog with zero-shot deep local-feature matching
Accurate individual identification is essential for monitoring rare amphibians, yet invasive marking is often unsuitable for critically endangered species. We e...
- · ai
[Paper] DentalX: Context-Aware Dental Disease Detection with Radiographs
Diagnosing dental diseases from radiographs is time-consuming and challenging due to the subtle nature of diagnostic evidence. Existing methods, which rely on o...
- · ai
[Paper] Aggregating Diverse Cue Experts for AI-Generated Image Detection
The rapid emergence of image synthesis models poses challenges to the generalization of AI-generated image detectors. However, existing methods often rely on mo...
- · ai
[Paper] Uncovering Political Bias in Large Language Models using Parliamentary Voting Records
As large language models (LLMs) become deeply embedded in digital platforms and decision-making systems, concerns about their political biases have grown. While...
- · ai
[Paper] On the use of graph models to achieve individual and group fairness
Machine Learning algorithms are ubiquitous in key decision-making contexts such as justice, healthcare and finance, which has spawned a great demand for fairnes...
- · ai
[Paper] Fast and explainable clustering in the Manhattan and Tanimoto distance
The CLASSIX algorithm is a fast and explainable approach to data clustering. In its original form, this algorithm exploits the sorting of the data points by the...
- · ai
[Paper] Pervasive Annotation Errors Break Text-to-SQL Benchmarks and Leaderboards
Researchers have proposed numerous text-to-SQL techniques to streamline data analytics and accelerate the development of database-driven applications. To compar...
- · ai
[Paper] Asymptotic Universal Alignment: A New Alignment Framework via Test-Time Scaling
Aligning large language models (LLMs) to serve users with heterogeneous and potentially conflicting preferences is a central challenge for personalized and trus...
- · ai
[Paper] Translating Light-Sheet Microscopy Images to Virtual H&E Using CycleGAN
Histopathology analysis relies on Hematoxylin and Eosin (H&E) staining, but fluorescence microscopy offers complementary information. Converting fluorescenc...