works on

From the 1 of 22 linked papers with an AI index.

activity
20242026
most citedOmniGAIA: Towards Native Omni-Modal AI Agents

1 citations · 1 across the 3 of their papers we have counts for

collaborators

20 papers

cs.AI2026

SearchOS-V1: Towards Robust Open-Domain Information-Seeking Agent Collaboration

Yuyao Zhang, Junjie Gao, Zhengxian Wu +11

The paper introduces SearchOS, a multi-agent framework that makes search progress explicit through shared state structures and uses pipeline-parallel scheduling and middleware to i…

cs.CL2026

WebSwarm: Recursive Multi-Agent Orchestration for Deep-and-Wide Web Search

Xiaoshuai Song, Liancheng Zhang, Kangzhi Zhao +8

Large language model (LLM)-based web search agents are transforming information seeking from simple factoid question answering into complex, deep-and-wide search and research-orien…

cs.AI2026

OmniGAIA: Towards Native Omni-Modal AI Agents

Xiaoxi Li, Wenxiang Jiao, Jiarui Jin +10

Human intelligence naturally intertwines omni-modal perception -- spanning vision, audio, and language -- with complex reasoning and tool usage to interact with the world. However,…

cs.CV2026

Pareto-Guided Optimal Transport for Multi-Reward Alignment

Ying Ba, Tianyu Zhang, Mohan Zhou +5

Text-to-image generation models have achieved remarkable progress in preference optimization, yet achieving robust alignment across diverse reward models remains a significant chal…

cs.LG2026

Reasoning emerges from constrained inference manifolds in large language models

Yanbiao Ma, Fei Luo, Linfeng Zhang +10

Reasoning in large language models is predominantly evaluated through labeled benchmarks, conflating task performance with the quality of internal inference. Here we study reasonin…

cs.CL2026

EnvScaler: Scaling Tool-Interactive Environments for LLM Agent via Programmatic Synthesis

Xiaoshuai Song, Haofei Chang, Guanting Dong +3

Large language models (LLMs) are expected to be trained to act as agents in various real-world environments, but this process relies on rich and varied tool-interaction sandboxes.…