activity
20242026
most citedAin't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru

14 citations · 14 across the 4 of their papers we have counts for

collaborators

5 papers

q-fin.RM2026

Systemic Risk in DeFi: A Network-Based Fragility Analysis of TVL Dynamics

Shiyu Zhang, Zining Wang, Jin Zheng +1

Systemic risk refers to the overall vulnerability arising from the high degree of interconnectedness and interdependence within the financial system. In the rapidly developing dece…

cs.CV2025

DrivePI: Spatial-aware 4D MLLM for Unified Autonomous Driving Understanding, Perception, Prediction and Planning

Zhe Liu, Runhui Huang, Rui Yang +6

Although multi-modal large language models (MLLMs) have shown strong capabilities across diverse domains, their application in generating fine-grained 3D perception and prediction…

cs.CL2025

SentiMM: A Multimodal Multi-Agent Framework for Sentiment Analysis in Social Media

Xilai Xu, Zilin Zhao, Chengye Song +4

With the increasing prevalence of multimodal content on social media, sentiment analysis faces significant challenges in effectively processing heterogeneous data and recognizing m…

cs.CL2025

Fine-Grained Evaluation of Large Vision-Language Models in Autonomous Driving

Yue Li, Meng Tian, Zhenyu Lin +7

Existing benchmarks for Vision-Language Model (VLM) on autonomous driving (AD) primarily assess interpretability through open-form visual question answering (QA) within coarse-grai…

cs.RO2024★ 14 cited

Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru

Zining Wang, Paul Reisert, Eric Nichols +1

Social robots aim to establish long-term bonds with humans through engaging conversation. However, traditional conversational approaches, reliant on scripted interactions, often fa…