activity
20242026
most citedLLaMA-Mesh: Unifying 3D Mesh Generation with Language Models

3 citations · 3 across the 4 of their papers we have counts for

collaborators

7 papers

cs.RO2026

ReflexDiffusion: Reflection-Enhanced Trajectory Planning for High-lateral-acceleration Scenarios in Autonomous Driving

Xuemei Yao, Xiao Yang, Jianbin Sun +5

Generating safe and reliable trajectories for autonomous vehicles in long-tail scenarios remains a significant challenge, particularly for high-lateral-acceleration maneuvers such…

cs.AI2025

AgentBay: A Hybrid Interaction Sandbox for Seamless Human-AI Intervention in Agentic Systems

Yun Piao, Hongbo Min, Hang Su +28

The rapid advancement of Large Language Models (LLMs) is catalyzing a shift towards autonomous AI Agents capable of executing complex, multi-step tasks. However, these agents remai…

cs.AI2025

From reactive to cognitive: brain-inspired spatial intelligence for embodied agents

Shouwei Ruan, Liyuan Wang, Caixin Kang +4

Spatial cognition enables adaptive goal-directed behavior by constructing internal models of space. Robust biological systems consolidate spatial knowledge into three interconnecte…

cs.CL2025

Understanding and Improving Information Preservation in Prompt Compression for LLMs

Weronika Łajewska, Momchil Hardalov, Laura Aina +3

Recent advancements in large language models (LLMs) have enabled their successful application to a broad range of tasks. However, in information-intensive tasks, the prompt length…

cs.LG2025

Towards the Worst-case Robustness of Large Language Models

Huanran Chen, Yinpeng Dong, Zeming Wei +2

Recent studies have revealed the vulnerability of large language models to adversarial attacks, where adversaries craft specific input sequences to induce harmful, violent, private…

cs.CV2025

Visual Generation Without Guidance

Huayu Chen, Kai Jiang, Kaiwen Zheng +3

Classifier-Free Guidance (CFG) has been a default technique in various visual generative models, yet it requires inference from both conditional and unconditional models during sam…