activity
20242026
most citedHGAttack: Transferable Heterogeneous Graph Adversarial Attack

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

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Showing 2026Show all

7 papers · 1 filter

cs.AI2026

Apodex 1.1: Scaling Agentic Intelligence for Complex Work

B. An, B. Li, B. Wang +72

General-purpose language models can reason and synthesize knowledge, but complex work also requires sustained interaction with files, information sources, and executable code, toge…

cs.SD2026

Audio Interaction Model

Zhifei Xie, Zihang Liu, Ze An +8

Audio is continuous and interactive, yet most Large Audio Language Models (LALMs) remain offline and streaming systems usually specialize in ASR or spoken dialogue. We formalize th…

cs.AI2026

Claw AI Lab: An Autonomous Multi-Agent Research Team

Fan Wu, Cheng Chen, Zhenshan Tan +12

We present Claw AI Lab, a lab-native autonomous research platform that advances automated research from a hidden prompt-to-paper pipeline into an interactive AI laboratory. Rather…

cs.CL2026

Faithful-MR1: Faithful Multimodal Reasoning via Anchoring and Reinforcing Visual Attention

Changyuan Tian, Zhicong Lu, Huaxing Liu +7

Reinforcement learning with verifiable rewards (RLVR) has emerged as a promising paradigm for advancing complex reasoning in large language models, and recent work extends RLVR to…

cs.SD2026

Mega-ASR: Towards In-the-wild^2 Speech Recognition via Scaling up Real-world Acoustic Simulation

Zhifei Xie, Kaiyu Pang, Haobin Zhang +4

Despite rapid advances in automatic speech recognition (ASR) and large audio-language models, robust recognition in real-world environments remains limited by an "acoustic robustne…

cs.AI2026

HiRO-Nav: Hybrid ReasOning Enables Efficient Embodied Navigation

He Zhao, Yijun Yang, Zichuan Lin +2

Embodied navigation agents built upon large reasoning models (LRMs) can handle complex, multimodal environmental input and perform grounded reasoning per step to improve sequential…

cs.AI2026

PASK: Toward Intent-Aware Proactive Agents with Long-Term Memory

Zhifei Xie, Zongzheng Hu, Fangda Ye +10

Proactivity is a core expectation for AGI. Prior work remains largely confined to laboratory settings, leaving a clear gap in real-world proactive agent: depth, complexity, ambigui…