2 papers
cs.CV2026
NudgeVAD: Language-Nudged End-to-End Driving via FiLM Residuals
Chieh-Chi Yang, Yu-Hsiang Chen, Yi-Ting Chen
Natural-language instructions promise controllable end-to-end driving, but their benefit can be hidden when planners already receive reliable high-level commands. We propose NudgeV…
cs.CL2025
Dynamic-SUPERB Phase-2: A Collaboratively Expanding Benchmark for Measuring the Capabilities of Spoken Language Models with 180 Tasks
Chien-yu Huang, Wei-Chih Chen, Shu-wen Yang +77
Multimodal foundation models, such as Gemini and ChatGPT, have revolutionized human-machine interactions by seamlessly integrating various forms of data. Developing a universal spo…