activity
20242026
most citedThe Amazon Nova Family of Models: Technical Report and Model Card

2 citations · 2 across the 4 of their papers we have counts for

collaborators

8 papers

cs.AI2026

MagicGUI-RMS: A Multi-Agent Reward Model System for Self-Evolving GUI Agents via Automated Feedback Reflux

Zecheng Li, Zhihui Cao, Wenke Huang +17

Graphical user interface (GUI) agents are rapidly progressing toward autonomous interaction and reliable task execution across diverse applications. However, two central challenges…

cs.CV2025

Transductive Visual Programming: Evolving Tool Libraries from Experience for Spatial Reasoning

Shengguang Wu, Xiaohan Wang, Yuhui Zhang +2

Spatial reasoning in 3D scenes requires precise geometric calculations that challenge vision-language models. Visual programming addresses this by decomposing problems into steps c…

cs.CL2025

DialogueForge: LLM Simulation of Human-Chatbot Dialogue

Ruizhe Zhu, Hao Zhu, Yaxuan Li +4

Collecting human-chatbot dialogues typically demands substantial manual effort and is time-consuming, which limits and poses challenges for research on conversational AI. In this w…

cs.CL2025

SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions

Xianzhe Fan, Xuhui Zhou, Chuanyang Jin +3

Humans continuously infer the states, goals, and behaviors of others by perceiving their surroundings in dynamic, real-world social interactions. However, most Theory of Mind (ToM)…

cs.AI20252 cited

The Amazon Nova Family of Models: Technical Report and Model Card

Amazon AGI, Aaron Langford, Aayush Shah +783

We present Amazon Nova, a new generation of state-of-the-art foundation models that deliver frontier intelligence and industry-leading price performance. Amazon Nova Pro is a highl…

cs.CY2025

SOTOPIA-S4: a user-friendly system for flexible, customizable, and large-scale social simulation

Xuhui Zhou, Zhe Su, Sophie Feng +9

Social simulation through large language model (LLM) agents is a promising approach to explore and validate hypotheses related to social science questions and LLM agents behavior.…