· ai
[Paper] Multiplex Thinking: Reasoning via Token-wise Branch-and-Merge
Large language models often solve complex reasoning tasks more effectively with Chain-of-Thought (CoT), but at the cost of long, low-bandwidth token sequences. ...
-
- · 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...
- · ai
Let's be honest, Generative AI isn't going all that well
Article URL: https://garymarcus.substack.com/p/lets-be-honest-generative-ai-isnt Comments URL: https://news.ycombinator.com/item?id=46605587 Points: 35 Comments...
- · ai
Signal leaders warn agentic AI is an insecure, unreliable surveillance risk
Article URL: https://coywolf.com/news/productivity/signal-president-and-vp-warn-agentic-ai-is-insecure-unreliable-and-a-surveillance-nightmare/ Comments URL: ht...
- · 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...