Papers

• Nemotron-Cascade 2: Post-Training LLMs with Cascade RL and Multi-Domain On-Policy Distillation (2026)
  Zhuolin Yang et al.
  1.78
• Chain-of-Retrieval Augmented Generation (2025)
  Liang Wang et al.
  1.28
• Thinking with Generated Images (2025)
  Ethan Chern et al.
  1.28
• Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training (2025)
  Chenlu Ye et al.
  1.28
• VLM-Guided Adaptive Negative Prompting for Creative Generation (2025)
  Shelly Golan et al.
  1.28
• RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems (2025)
  Jingru Lin et al.
  1.28
• ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation (2025)
  Yongyuan Liang et al.
  1.28
• Aligned but Stereotypical? The Hidden Influence of System Prompts on Social Bias in LVLM-Based Text-to-Image Models (2025)
  NaHyeon Park et al.
  1.28
• One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning (2023)
  Arnav Chavan et al.
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• Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference Using Sorted Fine-Tuning (SoFT) (2023)
  Parsa Kavehzadeh et al.
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• MyVLM: Personalizing VLMs for User-Specific Queries (2024)
  Yuval Alaluf et al.
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• Multi-property Steering of Large Language Models with Dynamic Activation Composition (2024)
  Daniel Scalena et al.
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• Distribution Backtracking Builds A Faster Convergence Trajectory for One-step Diffusion Distillation (2024)
  Shengyuan Zhang et al.
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