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20232026
most citedRaw Text is All you Need: Knowledge-intensive Multi-turn Instruction Tuning for Large Language Model

1 citations · 1 across the 6 of their papers we have counts for

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cs.RO2026

ReactSim-Bench: Benchmarking Reactive Behavior World Model Simulation in Autonomous Driving

Zhiyuan Zhang, Yanlun Peng, Jianing Zhang +7

Reactive capability is a key property of data-driven behavior world model simulators for autonomous driving simulation systems. With this capability, simulated world agents can res…

cs.RO2025

Raw2Drive: Reinforcement Learning with Aligned World Models for End-to-End Autonomous Driving (in CARLA v2)

Zhenjie Yang, Xiaosong Jia, Qifeng Li +3

Reinforcement Learning (RL) can mitigate the causal confusion and distribution shift inherent to imitation learning (IL). However, applying RL to end-to-end autonomous driving (E2E…