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cs.AI2025
More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
Xurui Song, Shuo Huai, JingJing Jiang +2
Vision-Language Model (VLM) driving agents promise explainable end-to-end autonomy by first producing natural-language reasoning and then predicting trajectory planning. However, w…
cs.AI2024
IRCoder: Intermediate Representations Make Language Models Robust Multilingual Code Generators
Indraneil Paul, Goran Glavaš, Iryna Gurevych
Code understanding and generation have fast become some of the most popular applications of language models (LMs). Nonetheless, research on multilingual aspects of Code-LMs (i.e.,…