Daily Papers of 2024-02-02

  1. OLMo: Accelerating the Science of Language Models 86 upvotes, #1 of 2024-02-02
  2. Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research 66 upvotes, #2 of 2024-02-02
  3. CroissantLLM: A Truly Bilingual French-English Language Model 26 upvotes, #3 of 2024-02-02
  4. Can Large Language Models Understand Context? 24 upvotes, #4 of 2024-02-02
  5. Efficient Exploration for LLMs 22 upvotes, #5 of 2024-02-02
  6. AnimateLCM: Accelerating the Animation of Personalized Diffusion Models and Adapters with Decoupled Consistency Learning 22 upvotes, #5 of 2024-02-02
  7. SymbolicAI: A framework for logic-based approaches combining generative models and solvers 21 upvotes, #7 of 2024-02-02
  8. Machine Unlearning for Image-to-Image Generative Models 15 upvotes, #8 of 2024-02-02
  9. Transforming and Combining Rewards for Aligning Large Language Models 12 upvotes, #9 of 2024-02-02
  10. AToM: Amortized Text-to-Mesh using 2D Diffusion 11 upvotes, #10 of 2024-02-02
  11. EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models 4 upvotes, #11 of 2024-02-02

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.