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• MEMORYLLM: Towards Self-Updatable Large Language Models
  2024 · 4 citations
• GSR-GNN: Training Acceleration and Memory-Saving Framework of Deep GNNs on Circuit Graph
  2026
• Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only
  2025
• Learning to Optimize Multi-Objective Alignment Through Dynamic Reward Weighting
  2025
• Diff-3DCap: Shape Captioning with Diffusion Models
  2025
• DR-CircuitGNN: Training Acceleration of Heterogeneous Circuit Graph Neural Network on GPUs
  2025
• IHEval: Evaluating Language Models on Following the Instruction Hierarchy
  2025
• Diff-3dcap: Shape Captioning With Diffusion Models
  2025
• Train A Unified Multimodal Data Quality Classifier With Synthetic Data
  2025
• TabFact: A Large-scale Dataset for Table-based Fact Verification
  2019
• Time Series as Images: Vision Transformer for Irregularly Sampled Time Series
  2023
• Instruction-following Evaluation through Verbalizer Manipulation
  2023
• Virtual Prompt Injection for Instruction-Tuned Large Language Models
  2023