Daily Papers of 2023-12-12

  1. LLM360: Towards Fully Transparent Open-Source LLMs 57 upvotes, #1 of 2023-12-12
  2. Beyond Human Data: Scaling Self-Training for Problem-Solving with Language Models 29 upvotes, #2 of 2023-12-12
  3. Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior 24 upvotes, #3 of 2023-12-12
  4. Photorealistic Video Generation with Diffusion Models 24 upvotes, #3 of 2023-12-12
  5. Vary: Scaling up the Vision Vocabulary for Large Vision-Language Models 21 upvotes, #5 of 2023-12-12
  6. Context Tuning for Retrieval Augmented Generation 16 upvotes, #6 of 2023-12-12
  7. From Text to Motion: Grounding GPT-4 in a Humanoid Robot "Alter3" 13 upvotes, #7 of 2023-12-12
  8. Efficient Quantization Strategies for Latent Diffusion Models 11 upvotes, #8 of 2023-12-12
  9. Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes 7 upvotes, #9 of 2023-12-12
  10. Evaluation of Large Language Models for Decision Making in Autonomous Driving 6 upvotes, #10 of 2023-12-12
  11. Using Captum to Explain Generative Language Models 4 upvotes, #11 of 2023-12-12
  12. TCNCA: Temporal Convolution Network with Chunked Attention for Scalable Sequence Processing 4 upvotes, #11 of 2023-12-12
  13. Order Matters in the Presence of Dataset Imbalance for Multilingual Learning 3 upvotes, #13 of 2023-12-12
  14. Unlocking Anticipatory Text Generation: A Constrained Approach for Faithful Decoding with Large Language Models 3 upvotes, #13 of 2023-12-12

Data: hysts-bot-data/daily-papers-stats and the Daily Papers API. Open data: tardellirs/paper-pulse-data. Sister project: Model Pulse, the download history of every model on the Hub.