activity
20232026
most citedFed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer

4 citations · 7 across the 20 of their papers we have counts for

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Showing 2026Show all

11 papers · 1 filter

cs.AI2026

MemPrism: Task-Conditioned Relational Memory Views for Long-Horizon Agents

Zhisheng Chen, Bingfan Zeng, Bangde Cao +8

Long-horizon agents rely on memory to reuse experiences, yet existing memory systems often assume that evidence can be directly consumed through a fixed representation. This leads…

cs.CL2026

Revisiting Lossy Verification in Speculative Decoding: Mechanisms, Trade-offs, and Failure Modes

Tianyu Wang, Yuxuan Zhou, Heng Li +4

Speculative Decoding (SD) accelerates large language model inference by allowing a lightweight draft model to propose tokens that are subsequently verified in parallel by a larger…

cs.CL2026

Qwen-AgentWorld: Language World Models for General Agents

Yuxin Zuo, Zikai Xiao, Li Sheng +30

A world model predicts environment dynamics based on current observations and actions, serving as a core cognitive mechanism for reasoning and planning. In this work, we investigat…

cs.CV2026

Med-R2: An Adversarial Benchmark for Evidence-Grounded Reasoning in Medical VLMs

Wen Ma, Fucheng Niu, Zhiting Fan +3

Vision-language models have demonstrated impressive capabilities in general medical visual question answering, yet due to limited interpretability, it remains unclear whether their…

cs.AI2026

SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration

Mingda Zhang, Tiesunlong Shen, Haoran Luo +4

In recent years, a variety of powerful LLM-based agentic systems have been applied to automate complex tasks through task orchestration. However, existing orchestration methods sti…

cs.CV2026

Scaling Video Pretraining for Surgical Foundation Models

Sicheng Lu, Zikai Xiao, Jianhui Wei +7

Surgical video understanding is essential for computer-assisted interventions, yet existing surgical foundation models remain constrained by limited data scale, procedural diversit…

cs.CV2026

HICT: High-precision 3D CBCT reconstruction from a single X-ray

Wen Ma, Jiaxiang Liu, Zikai Xiao +3

Accurate 3D dental imaging is vital for diagnosis and treatment planning, yet CBCT's high radiation dose and cost limit its accessibility. Reconstructing 3D volumes from a single l…

cs.AI2026

CoT2-Meta: Budgeted Metacognitive Control for Test-Time Reasoning

Siyuan Ma, Bo Gao, Zikai Xiao +6

Recent test-time reasoning methods improve performance by generating more candidate chains or searching over larger reasoning trees, but they typically lack explicit control over w…

cs.AI2026

MineEvolve: Self-Evolution with Accumulated Knowledge for Long-Horizon Embodied Minecraft Agents

Zhengwei Xie, Zhisheng Chen, Ziyan Weng +7

Long-horizon embodied intelligence requires agents to improve through interaction, not merely to execute plans generated from static goals. A central challenge is therefore to tran…

cs.AI2026

WebWorld: A Large-Scale World Model for Web Agent Training

Zikai Xiao, Jianhong Tu, Chuhang Zou +7

Web agents require massive trajectories to generalize, yet real-world training is constrained by network latency, rate limits, and safety risks. We introduce \textbf{WebWorld} seri…

cs.AI2026

PolarMem: A Training-Free Polarized Latent Graph Memory for Verifiable Vision-Language Models

Zhisheng Chen, Tingyu Wu, Zijie Zhou +7

Memory is not merely a storage mechanism for intelligent systems, but a structure for organizing evidence and constraining belief. This is especially important for multimodal reaso…