0:48   Scholaread Zotero Integration | How to Sync Papers from Zotero to Scholaread for Reading Tutorial 4:17   Retentive Network: A Successor to Transformer for Large Language Models 3:07   Scaling TransNormer to 175 Billion Parameters 3:30   ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs 4:41   Optimized Network Architectures for Large Language Model Training with Billions of Parameters 3:32   Enhancing Prompt Understanding of Text-to-Image Diffusion Models with Large Language Mod 3:08   Meta-Transformer: A Unified Framework for Multimodal Learning 2:41   Llama 2: Open Foundation and Fine-Tuned Chat Models 3:01   LLM-Rec: Personalized Recommendation via Prompting Large Language Models 2:42   Question Decomposition Improves the Faithfulness of Model-Generated Reasoning 2:38   SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models 2:23   DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering 2:37   SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning 4:18   Towards A Unified Agent with Foundation Models 3:16   A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis 2:51   ARB: Advanced Reasoning Benchmark for Large Language Models 3:20   FlashAttention-2: Faster Attention with Better Parallelism and Work Partitioning 4:54   Challenges and Applications of Large Language Models 4:07   How Is ChatGPT’s Behavior Changing over Time? 1:53   Predicting masked tokens in stochastic locations improves masked image modeling