Sublime
An inspiration engine for ideas
Cross-Encoder for Hallucination Detection
This model was trained using SentenceTransformers Cross-Encoder class.
The model outputs a probabilitity from 0 to 1, 0 being a hallucination and 1 being factually consistent.
The predictions can be thresholded at 0.5 to predict whether a document is consistent with its source.
Training Data
This model is... See more
This model was trained using SentenceTransformers Cross-Encoder class.
The model outputs a probabilitity from 0 to 1, 0 being a hallucination and 1 being factually consistent.
The predictions can be thresholded at 0.5 to predict whether a document is consistent with its source.
Training Data
This model is... See more
vectara/hallucination_evaluation_model · Hugging Face
NeRN -- Learning Neural Representations for Neural Networks
Maor Ashkenazi, Zohar Rimon, Ron Vainshtein, Shir Levi, Elad Richardson, Pinchas Mintz, Eran Treister
tl;dr: NERFs to compress the CNN classifiers. Not hypernetworks, although seem similar
https://t.co/rz6SRPGuT8... See more
The newly released Meshtron project and paper from NVIDIA has big implications.
Create professional-grade 3D meshes from just point clouds.
→ Meshtron achieves revolutionary mesh generation capabilities by processing up to 64K faces at 1024-level coordinate resolution - this represents an 8x... See more
Rohan Paulx.comIntroducing DeepConf: Deep Think with Confidence
🚀 First method to achieve 99.9% on AIME 2025 with open-source models! Using GPT-OSS-120B even without tools, we reached this almost-perfect accuracy while saving up to 85% generated tokens.
It also delivers many strong advantages for parallel... See more
Jiawei Zhaox.com