Daily Papers of 2024-09-10

  1. Towards a Unified View of Preference Learning for Large Language Models: A Survey 67 upvotes, #1 of 2024-09-10
  2. MMEvol: Empowering Multimodal Large Language Models with Evol-Instruct 42 upvotes, #2 of 2024-09-10
  3. OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs 26 upvotes, #3 of 2024-09-10
  4. MemoRAG: Moving towards Next-Gen RAG Via Memory-Inspired Knowledge Discovery 24 upvotes, #4 of 2024-09-10
  5. POINTS: Improving Your Vision-language Model with Affordable Strategies 21 upvotes, #5 of 2024-09-10
  6. Paper Copilot: A Self-Evolving and Efficient LLM System for Personalized Academic Assistance 17 upvotes, #6 of 2024-09-10
  7. Benchmarking Chinese Knowledge Rectification in Large Language Models 13 upvotes, #7 of 2024-09-10
  8. Robot Utility Models: General Policies for Zero-Shot Deployment in New Environments 13 upvotes, #7 of 2024-09-10
  9. Open Language Data Initiative: Advancing Low-Resource Machine Translation for Karakalpak 8 upvotes, #9 of 2024-09-10
  10. Evaluating Multiview Object Consistency in Humans and Image Models 8 upvotes, #9 of 2024-09-10
  11. UniDet3D: Multi-dataset Indoor 3D Object Detection 7 upvotes, #11 of 2024-09-10
  12. Insights from Benchmarking Frontier Language Models on Web App Code Generation 5 upvotes, #12 of 2024-09-10

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.