4 papers
Lessons from Training Grounded LLMs with Verifiable Rewards
Shang Hong Sim, Tej Deep Pala, Vernon Toh +5
Generating grounded and trustworthy responses remains a key challenge for large language models (LLMs). While retrieval-augmented generation (RAG) with citation-based grounding hol…
AttentionDrag: Exploiting Latent Correlation Knowledge in Pre-trained Diffusion Models for Image Editing
Biao Yang, Muqi Huang, Yuhui Zhang +8
Traditional point-based image editing methods rely on iterative latent optimization or geometric transformations, which are either inefficient in their processing or fail to captur…
A 2D Semantic-Aware Position Encoding for Vision Transformers
Xi Chen, Shiyang Zhou, Muqi Huang +9
Vision transformers have demonstrated significant advantages in computer vision tasks due to their ability to capture long-range dependencies and contextual relationships through s…
Time-reversal symmetry breaking in microscopic single-crystal SrRuO devices
Remko Fermin, Matthijs Rog, Guido Stam +6
Time-reversal symmetry breaking superconductivity is a quintessential unconventional quantum state. In Josephson junctions, time-reversal symmetry breaking manifests itself in the…