14:44
Wav2vec2 A Framework for Self-Supervised Learning of Speech Representations - Paper Explained
DataMListic
14:48
Adversarial Discriminative Domain Adaptation (ADDA) Paper Explained
26:16
Jailbroken: How Does LLM Safety Training Fail? - Paper Explained
13:59
The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits - Paper Explained
27:43
Chain-of-Verification (COVE) Reduces Hallucination in Large Language Models - Paper Explained
20:28
RLHF: Training Language Models to Follow Instructions with Human Feedback - Paper Explained
4:52
Google's AlphaEvolve - Paper Walkthrough
5:12
Anthropic Claude 4 - System Card Walkthrough
5:05
MMaDA: Multimodal Large Diffusion Language Models - Paper Walkthrough
5:18
Perception Encoder - Paper Walkthrough
8:04
The Illusion of Thinking - Paper Walkthrough
8:36
DeepSeek-R1 - Paper Walkthrough
3:57
Why Larger Language Models Do In-context Learning Differently? - Paper Walkthrough
9:01
Magistral - Paper Walkthrough
5:57
Qwen3 - Paper Walkthrough