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Scoured 49 posts in 6.1 ms

Sparse Mixture-of-Experts Reward Models Learn Interpretable and Specialized Experts for Personalized Preference Modeling

 🦎Evolution  Content type: Academic
arxiv.org·

linzhiqiu/t2v_metrics: Evaluating text-to-image/video/3D models with VQAScore

 🔌BCI  Content type: Code
github.com··Hacker News

BiasGRPO: Stabilizing Bias Mitigation in High-Variance Reward Landscapes via Group-Relative Policy Optimization

 🧠Neuroscience  Content type: Academic
arxiv.org·

Synthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training

 🔌BCI  Content type: Academic
arxiv.org·

Pretraining Recurrent Networks without Recurrence

 🔌BCI  Content type: Academic
arxiv.org·

Instance-Level Post Hoc Uncertainty Quantification in Object Detection

 💭Cognitive Science  Content type: Academic
arxiv.org·

Show HN: One-Shot Program Generation Through Direct Memory Diffusion

 🧠Neuroscience  Content type: Code
github.com··Hacker News

TensorBench: Benchmarking Coding Agents on a Compiler-Based Tensor Framework

 Longevity  Content type: Academic
arxiv.org·

StandardE2E: A Unified Framework for End-to-End Autonomous Driving Datasets

 🔌BCI  Content type: Academic
arxiv.org·

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