most citedProspective Role of Foundation Models in Advancing Autonomous Vehicles

1 citations · 1 across the 4 of their papers we have counts for

collaborators

6 papers

cs.LO2026

A Non-Dichotomy for CSPs of Stable -Categorical Structures

Manuel Bodirsky, David Bradley-Williams, Ehud Hrushovski +1

We construct countable, stable, -categorical structures with at most two binary relations whose CSPs exhibit three complexity regimes: NP-complete, decidable but not in NP, and…

cs.LG2026

SemTree: Judge-Aware Semantic Decision Trees for Inspectable and Repairable Rule Decisions

Jincheng Gao, Wei Ding, Shuo Sun

Rule decisions such as content moderation, advertising compliance, and eligibility checks combine several conditions, exemptions, and missing-information cases, and an error can be…

cs.CV2026

AgentVista: Evaluating Multimodal Agents in Ultra-Challenging Realistic Visual Scenarios

Zhaochen Su, Jincheng Gao, Hangyu Guo +10

Real-world multimodal agents solve multi-step workflows grounded in visual evidence. For example, an agent can troubleshoot a device by linking a wiring photo to a schematic and va…

q-fin.TR2026

AlphaForgeBench: Benchmarking End-to-End Trading Strategy Design with Large Language Models

Wentao Zhang, Mingxuan Zhao, Jincheng Gao +5

The rapid advancement of Large Language Models (LLMs) has led to a surge of financial benchmarks, evolving from static knowledge evaluation toward interactive trading simulations.…

cs.CV2024

MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios

Jiaqi Fan, Jianhua Wu, Jincheng Gao +4

Multimodal large language models (MLLMs) have shown satisfactory effects in many autonomous driving tasks. In this paper, MLLMs are utilized to solve joint semantic scene understan…

cs.CV2024★ 1 cited

Prospective Role of Foundation Models in Advancing Autonomous Vehicles

Jianhua Wu, Bingzhao Gao, Jincheng Gao +8

With the development of artificial intelligence and breakthroughs in deep learning, large-scale Foundation Models (FMs), such as GPT, Sora, etc., have achieved remarkable results i…