1 citations · 1 across the 7 of their papers we have counts for
8 papers
IQuest-Q1: Advancing Foundation Capabilities for Agentic CLI Systems
A. Jian Yang, An Huang, Bo Dan +173
We present IQuest-Q1, a sparse Mixture-of-Experts (MoE) agentic foundation model with 320B total parameters (15B activated). IQuest-Q1 is developed through a three-stage process: (…
Ideation Arena: Evaluating LLM Generated Research Ideas with Battle-style Human Expert Assessment
Zhiyu Chen, Keyu Zhao, Jigao Fu +8
Evaluating research ideas generated by LLMs is difficult because their scientific value cannot be fully determined by objective criteria, and no single reference answer specifies w…
LitReview Arena: Evaluating Literature Review Agents with Battle-Style Peer Review Platform
Ruotong Zhao, Zhiyu Chen, Xurui Liu +7
Literature reviews are essential to scientific progress, but rigorously evaluating automatically generated reviews remains difficult because many aspects of research utility depend…
Clarus: Coordinating Autonomous Research Agents toward Web-Scale Scientific Collaboration
Zihan Guo, Zeyi Chen, Zhiyu Chen +15
Existing autonomous research agents can support parts of the research process, but most systems still treat research as either an isolated assistant task or a closed workflow. Ther…
SkillJuror: Measuring How Agent Skill Organization Changes Runtime Behavior
Zhiyu Chen, Zihan Guo, Bo Huang +4
Agent Skills augment large language model (LLM) agents with procedural knowledge at inference time, but current benchmarks rarely distinguish what a Skill says from how it is organ…
SkillProbe: Security Auditing for Emerging Agent Skill Marketplaces via Multi-Agent Collaboration
Zihan Guo, Zhiyu Chen, Xiaohang Nie +3
With the rapid evolution of Large Language Model (LLM) agent ecosystems, centralized skill marketplaces have emerged as pivotal infrastructure for augmenting agent capabilities. Ho…
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists
Chenyang Shao, Dehao Huang, Yu Li +18
With the rapid development of Large Language Models (LLMs), AI agents have demonstrated increasing proficiency in scientific tasks, ranging from hypothesis generation and experimen…
MirrorMind: Empowering OmniScientist with the Expert Perspectives and Collective Knowledge of Human Scientists
Qingbin Zeng, Bingbing Fan, Zhiyu Chen +7
The emergence of AI Scientists has demonstrated remarkable potential in automating scientific research. However, current approaches largely conceptualize scientific discovery as a…