Ji-Rong Wen

Ji-Rong Wen on Hugging Face Daily Papers: 19 papers, 8 in the top 3 of their day, 833 upvotes.

  1. MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning 28 upvotes, #5 of 2026-03-05
  2. LLaDA2.0: Scaling Up Diffusion Language Models to 100B 77 upvotes, #4 of 2025-12-19
  3. LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models 8 upvotes, #40 of 2025-05-27
  4. LLaDA-V: Large Language Diffusion Models with Visual Instruction Tuning 29 upvotes, #8 of 2025-05-23
  5. NExT-Search: Rebuilding User Feedback Ecosystem for Generative AI Search 9 upvotes, #23 of 2025-05-21
  6. Neuro-Symbolic Query Compiler 16 upvotes, #18 of 2025-05-20
  7. DeepCritic: Deliberate Critique with Large Language Models 48 upvotes, #1 of 2025-05-02
  8. WebThinker: Empowering Large Reasoning Models with Deep Research Capability 41 upvotes, #2 of 2025-05-01
  9. Challenging the Boundaries of Reasoning: An Olympiad-Level Math Benchmark for Large Language Models 35 upvotes, #4 of 2025-03-28
  10. FlexWorld: Progressively Expanding 3D Scenes for Flexiable-View Synthesis 15 upvotes, #12 of 2025-03-19
  11. An Empirical Study on Eliciting and Improving R1-like Reasoning Models 8 upvotes, #18 of 2025-03-10
  12. R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning 25 upvotes, #9 of 2025-03-10
  13. Large Language Diffusion Models 77 upvotes, #1 of 2025-02-17
  14. Virgo: A Preliminary Exploration on Reproducing o1-like MLLM 30 upvotes, #3 of 2025-01-06
  15. YuLan-Mini: An Open Data-efficient Language Model 59 upvotes, #1 of 2024-12-27
  16. Progressive Multimodal Reasoning via Active Retrieval 67 upvotes, #2 of 2024-12-20
  17. OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain 40 upvotes, #3 of 2024-12-18
  18. Toward General Instruction-Following Alignment for Retrieval-Augmented Generation 43 upvotes, #4 of 2024-10-15
  19. Very Large-Scale Multi-Agent Simulation in AgentScope 29 upvotes, #3 of 2024-07-26

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