most citedLarge Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Reactivating Test-Time Scaling for Plane Geometry Problem Solving

Xiaoqiang Kang, Shengen Wu, Maizhen Ning +5

Plane geometry problem (PGP) solving has become a critical benchmark for multimodal reasoning because it requires accurate visual perception and precise multi-step symbolic deducti…

cs.LG2026

Demystifying Hidden-State Recurrence: Switchable Latent Reasoning with On-Policy Reinforcement Learning

Jiayu Yang, Chao Chen, Shengen Wu +6

Latent chain-of-thought compresses reasoning through continuous hidden-state recurrence, but existing approaches are difficult to optimize with standard on-policy reinforcement lea…

cs.CL2025

ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall

Jiayu Yang, Yuxuan Fan, Songning Lai +5

Large Language Models (LLMs) require efficient knowledge editing (KE) to update factual information, yet existing methods exhibit significant performance decay in multi-hop factual…

cs.RO2025★ 1 cited

Large Foundation Models for Trajectory Prediction in Autonomous Driving: A Comprehensive Survey

Wei Dai, Shengen Wu, Wei Wu +7

Trajectory prediction serves as a critical functionality in autonomous driving, enabling the anticipation of future motion paths for traffic participants such as vehicles and pedes…

cs.CL2025

Can GRPO Boost Complex Multimodal Table Understanding?

Xiaoqiang Kang, Shengen Wu, Zimu Wang +7

Existing table understanding methods face challenges due to complex table structures and intricate logical reasoning. While supervised finetuning (SFT) dominates existing research,…