activity
20242026
most citedEchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control

10 citations · 20 across the 22 of their papers we have counts for

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9 papers · 1 filter

cs.HC2026

Act2Intention: A Benchmark For Developing Active Mobile Agents Through Inferring User Intention from GUI Actions

Xiaokai Yan, Jingtao Ding, Yong Li +1

Mobile GUI Agents powered by multimodal large language models (MLLMs) show promise in human-computer intelligence. However, current research primarily focuses on reactive task exec…

cs.LG2026

Progressive: A Teacher-Student Progressive Co-Evolving Knowledge Distillation Method for Substantial Model Compression

Tiancong Cheng, Ying Zhang, Zhiwen Yu +2

Knowledge distillation (KD) is a widely utilized technique for transferring knowledge from a large model (the teacher) to a smaller model (the student). Owing to its flexibility an…

cs.AI2026

Think Thrice Before You Speak: Dual knowledge-enhanced Theory-of-Mind Reasoning for Persuasive Agents

Minghui Ma, Bin Guo, Runze Yang +7

Persuasive dialogue requires reasoning about others' latent mental states, a capability known as Theory of Mind (ToM). However, due to reliance on simple prompting strategies and i…

cs.CV2026

Response-G1: Explicit Scene Graph Modeling for Proactive Streaming Video Understanding

Ke Ma, Jiaqi Tang, Bin Guo +8

Proactive streaming video understanding requires Video-LLMs to decide when to respond as a video unfolds, a task where existing methods often fall short due to their implicit, quer…

cs.AI2026

Truth or Tribe: How In-group Favoritism Prioritize Facts in Persona Agents

Shijun Lei, Hongyu Wang, Yunji Liang +3

In-group favoritism refers to the phenomena of favoring members of one's in-group over out-group members and is widely observed in numerous social cooperative behaviors. Recently,…

eess.SP2026

Foundation Models Defining A New Era In Sensor-based Human Activity Recognition: A Survey And Outlook

Sizhen Bian, Mengxi Liu, Lala Shakti Swarup Ray +7

Sensor-based Human Activity Recognition (HAR) underpins many ubiquitous and wearable computing applications, yet current models remain limited by scarce labels, sensor heterogeneit…