1:00:36 Neural Models of Text Normalization for Speech Applications | AISC Author Speaking LLMs Explained - Aggregate…
1:50:00 [DOM-Q-NET] Grounded RL on Structured Language | AISC Author Speaking LLMs Explained - Aggregate…
1:19:56 Deep InfoMax: Learning deep representations by mutual information estimation and maximization | AISC LLMs Explained - Aggregate…
1:29:32 [OpenAI GPT2] Language Models are Unsupervised Multitask Learners | TDLS Trending Paper LLMs Explained - Aggregate…
1:28:14 [Original attention] Neural Machine Translation by Jointly Learning to Align and Translate | AISC LLMs Explained - Aggregate…
43:11 (Original Paper) Latent Dirichlet Allocation (algorithm) | AISC Foundational LLMs Explained - Aggregate…
32:41 (Original Paper) Latent Dirichlet Allocation (discussions) | AISC Foundational LLMs Explained - Aggregate…
37:20 [BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (discussions) | TDLS LLMs Explained - Aggregate…
53:07 [BERT] Pretranied Deep Bidirectional Transformers for Language Understanding (algorithm) | TDLS LLMs Explained - Aggregate…
1:00:38 Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond | TDLS LLMs Explained - Aggregate…
1:12:21 Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | TDLS LLMs Explained - Aggregate…
1:08:46 Automated Vulnerability Detection in Source Code Using Deep Learning (algorithm) | AISC LLMs Explained - Aggregate…
21:29 Automated Vulnerability Detection in Source Code Using Deep Learning (discussions) | AISC LLMs Explained - Aggregate…
24:35 Neural Ordinary Differential Equations - part 1 (algorithm review) | AISC LLMs Explained - Aggregate…
42:05 Neural Ordinary Differential Equations - part 2 (results & discussion) | AISC LLMs Explained - Aggregate…
1:28:00 [LISA] Linguistically-Informed Self-Attention for Semantic Role Labeling | AISC LLMs Explained - Aggregate…
1:39:42 ACT: Adaptive Computation Time for Recurrent Neural Networks | AISC LLMs Explained - Aggregate…
21:41 Detecting Customer Complaint Escalation w/ Recurrent Neural Networks & Manually-Engineered Features LLMs Explained - Aggregate…
54:16 Attention is not not explanation + Character Eyes: Seeing Language through Character-Level Taggers | LLMs Explained - Aggregate…
55:28 BottleSum: Unsupervised & Self-supervised Sentence Summarization w/ Information Bottleneck Principle LLMs Explained - Aggregate…
1:35:16 Plug and Play Language Models: A Simple Approach to Controlled Text Generation | AISC LLMs Explained - Aggregate…
1:03:00 [RoBERT & ToBERT] Hierarchical Transformers for Long Document Classification | AISC LLMs Explained - Aggregate…
1:25:31 Ernie 2.0: A Continual Pre-Training Framework for Language Understanding | AISC LLMs Explained - Aggregate…
1:02:43 Consistency by Agreement in Zero-shot Neural Machine Translation | AISC LLMs Explained - Aggregate…
1:17:52 XLNet: Generalized Autoregressive Pretraining for Language Understanding | AISC LLMs Explained - Aggregate…
36:58 Privacy-Preserving Natural Language Processing - Big Science for Large Language Models LLMs Explained - Aggregate…
5:40 Privacy-Preserving Natural Language Processing - Big Science - Module 1 LLMs Explained - Aggregate…
