🎯 Post-training - inarcissuss · Scour

📄AI Papers arXiv·

RoFormer: Enhanced Transformer with Rotary Position Embedding

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🧠LLM Training arXiv·

Emergent Alignment

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🤖AI Development arXiv·

NeuroShield: A Device-Agnostic Foundation Model for EEG Authentication

📄AI Papers arXiv·

RT-DocLayout: Real-Time End-to-End Document Layout Analysis with Reading Order in the Wild

🔬Deep Learning arXiv·

Performance and Interpretability of Convolutional, Transformer, and Hybrid Deep Learning Models in Colorectal Histology Classification

🧠LLM Training arXiv·

Beyond Uniform Forgetting: A Study of Sequential Direct Preference Optimization Across Preference Settings

🎯RLHF arXiv·

Your Mouse and Eyes Secretly Leak Your Preference: LLM Alignment using Implicit Feedback from Users

🧠LLM Training arXiv·

Which Pairs to Compare for LLM Post-Training?

🤖AI Development arXiv·

A Comparative Study of Pretrained Transformer Models for Quranic ASR: Speech Representations, Label Formats, and Dataset Composition

📄AI Papers arXiv·

On the Redundancy of Timestep Embeddings in Diffusion Models

🧠AI Models arXiv·

ConsisFormer: Compute-Efficient Transformer for Wireless Foundation Models Based on Channel Consistency

🧠LLM Research IEEE Spectrum

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IEEE Rolls Out Large Language Models Virtual Training Course

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