activity
20242026
most citedIs A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

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

collaborators

10 papers

math.NA2026

Scaled Companion Linearizations for Coefficientwise Backward Stability

Javier Pérez

A central goal in solving a polynomial eigenvalue problem is to compute eigenpairs that are exact for a nearby polynomial, with each coefficient perturbation bounded by a modest mu…

cs.MA2026

EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness?

Zixuan Ke, Vaidehi Patil, Haizhou Shi +9

Modern LLM-based agents operate through a harness of tools, reusable skills, and specialist agents that shapes what they observe and what they can do. In practice, this harness con…

cs.AI2026

Act As a Real Researcher: A Suite of Benchmarks Evaluating Frontier LLMs and Agentic Harnesses in Research Lifecycle

Jiayu Wang, Weijiang Lv, Bowen Fu +8

As foundation models advance and agent scaffolding becomes increasingly sophisticated, agents have demonstrated remarkable proficiency in complex, long-horizon coding tasks and eve…

cs.AI2026

SkillOrchestra: Learning to Route Agents via Skill Transfer

Jiayu Wang, Yifei Ming, Zixuan Ke +3

Compound AI systems promise capabilities beyond those of individual models, yet their success depends critically on effective orchestration. Existing routing approaches face two li…

cs.RO2026

Efficient Coordination with the System-Level Shared State: An Embodied-AI Native Modular Framework

Yixuan Deng, Tongrun Wu, Donghao Wu +5

As Embodied AI systems move from research prototypes to real world deployments, they tend to evolve rapidly while remaining reliable under workload changes and partial failures. In…

cs.AI2026

MAS-Orchestra: Understanding and Improving Multi-Agent Reasoning Through Holistic Orchestration and Controlled Benchmarks

Zixuan Ke, Yifei Ming, Austin Xu +7

While multi-agent systems (MAS) promise elevated intelligence through coordination of agents, current approaches to automatic MAS design under-deliver. Such shortcomings stem from…

cs.CL2025

Synthesizing Agentic Data for Web Agents with Progressive Difficulty Enhancement Mechanisms

Shrey Pandit, Xuan-Phi Nguyen, Yifei Ming +4

Web-based 'deep research' agents aim to solve complex question - answering tasks through long-horizon interactions with online tools. These tasks remain challenging, as the underly…

cs.AI2025

LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild

Jiayu Wang, Yifei Ming, Riya Dulepet +7

Deep research -- producing comprehensive, citation-grounded reports by searching and synthesizing information from hundreds of live web sources -- marks an important frontier for a…

cs.AI2025

Helpful Agent Meets Deceptive Judge: Understanding Vulnerabilities in Agentic Workflows

Yifei Ming, Zixuan Ke, Xuan-Phi Nguyen +2

Agentic workflows -- where multiple large language model (LLM) instances interact to solve tasks -- are increasingly built on feedback mechanisms, where one model evaluates and cri…

cs.CV2024★ 3 cited

Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models

Jiayu Wang, Yifei Ming, Zhenmei Shi +4

Large language models (LLMs) and vision-language models (VLMs) have demonstrated remarkable performance across a wide range of tasks and domains. Despite this promise, spatial unde…