3 accepted papers
Locating files and functions requiring modification in large software repositories is challenging due to their scale and structural complexity. Existing LLM-based methods typically treat this as a repository-level retrieval task and rely on multiple auxiliary tools, which often overlook code executi…
The rapid advancement of Multi-modal Language Models (MLLMs) has significantly enhanced performance in multimodal tasks, yet these models often exhibit inherent biases that compromise their reliability and fairness. Traditional debiasing methods face a trade-off between the need for extensive labele…
Visual Odometry (VO) estimates the pose and motion trajectory of the camera based on visual input, serving as a fundamental technique for robotic positioning and navigation. However, existing VO methods face challenges in visual degradation in extreme environments, e.g., high dynamic range or fast-m