most citedMini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2026

JIT-Agent: Scaling Harness Intelligence via Just-in-Time Harness Evolution

Guibin Zhang, Leo Lu, Fangzhou Xie +15

Agent capability is not determined by the model alone. The agent harness, encompassing memory management, planning strategy, action protocol, and tool/skill orchestration, can domi…

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

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…

cs.CL2025★ 1 cited

Mini-Omni-Reasoner: Token-Level Thinking-in-Speaking in Large Speech Models

Zhifei Xie, Ziyang Ma, Zihang Liu +7

Reasoning is essential for effective communication and decision-making. While recent advances in LLMs and MLLMs have shown that incorporating explicit reasoning significantly impro…

cs.CV2025★ 1 cited

Semantic-Guided Diffusion Model for Single-Step Image Super-Resolution

Zihang Liu, Zhenyu Zhang, Hao Tang

Diffusion-based image super-resolution (SR) methods have demonstrated remarkable performance. Recent advancements have introduced deterministic sampling processes that reduce infer…

cs.SD2025

Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models

Zhifei Xie, Mingbao Lin, Zihang Liu +3

Recent advancements in multimodal reasoning have largely overlooked the audio modality. We introduce Audio-Reasoner, a large-scale audio language model for deep reasoning in audio…