activity
20232026
most citedA Study of Comfortability between Interactive AI and Human

3 citations · 7 across the 9 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

AutoMem: Automated Learning of Memory as a Cognitive Skill

Shengguang Wu, Hao Zhu, Yuhui Zhang +2

Memory expertise is a learned skill: knowing what to encode, when to retrieve, and how to organize knowledge--a capacity known in cognitive science as metamemory. We bring this per…

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.AI2025★ 2 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.AI2025

AI Realtor: Towards Grounded Persuasive Language Generation for Automated Copywriting

Jibang Wu, Chenghao Yang, Yi Wu +5

This paper develops an agentic framework that employs large language models (LLMs) for grounded persuasive language generation in automated copywriting, with real estate marketing…

cs.AI2024★ 1 cited

HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions

Xuhui Zhou, Hyunwoo Kim, Faeze Brahman +9

AI agents are increasingly autonomous in their interactions with human users and tools, leading to increased interactional safety risks. We present HAICOSYSTEM, a framework examini…