9 papers
HAS: Highlight-guided Attention Steering for Multimodal LLM Video Summarization
Rui Chu, Yingjie Lao
Video understanding has become more and more important with the growth of Artificial Intelligence (AI) for video generation. Recently, Multimodal Large Language Model(M-LLM) has sh…
CLDRoute: Conditional Latent Diffusion for Routability Map Generation in Physical Design
Kiran Thorat, Nicole Meng, Caiwen Ding +2
Accurate routability estimation during physical design is important for reducing costly post-routing iterations. Prior learning-based methods treat this task as deterministic predi…
AnchorKV: Safety-Aware KV Cache Compression via Soft Penalty with a Refusal Anchor
Ning Ni, Yingjie Lao
Large language models (LLMs) outperform earlier architectures on generative inference and long-context tasks, but their large size introduces significant challenges in memory usage…
Probabilistic Concept-Aware Steering for Trustworthy LLM Inference
Brian Becker, Rui Chu, Yingjie Lao
Steering vectors (SVs), an inference-time intervention technique for large language models (LLMs), guide the generation process by adding a concept-specific direction vector to int…
DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation
Rui Chu, Bingyin Zhao, Thanh Quoc Hung Le +6
Large language models (LLMs) have achieved unprecedented success due to their exceptional generative capabilities. However, because they depend on knowledge encapsulated from train…
3DEditSafe: Defending 3D Editing Pipelines from Unsafe Generation
Nicole Meng, Zheyuan Liu, Meng Jiang +1
Recent advances in 3D generative editing, particularly pipelines based on 3D Gaussian Splatting (3DGS), have achieved high-fidelity, multi-view-consistent scene manipulation from t…