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From the 1 of 104 linked papers with an AI index.

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20242026
most citedA Multi-Task Embedder For Retrieval Augmented LLMs

18 citations · 40 across the 42 of their papers we have counts for

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28 papers · 1 filter

cs.AI2026

CLAIM: Leading Open-domain Active Clarification of Large Language Models with Uncertainty Measurement

Kuangzhao Yang, Ziliang Zhao, Zhicheng Dou

In open-domain human-computer interaction scenarios, large language models (LLMs) frequently encounter user queries that are ambiguous or incomplete. In such cases, directly produc…

cs.AI2026

Learning from Online User Feedback for Shopping Agents

Haobo Zhang, Kelong Mao, Sulong Xu +2

Large language model-based shopping agents are increasingly deployed in real-world e-commerce platforms, generating massive amounts of user interaction logs that provide valuable s…

cs.AI2026

AREX: Towards a Recursively Self-Improving Agent for Deep Research

Shuqi Lu, Chaofan Li, Kun Luo +21

Deep research requires agents to find answers that jointly satisfy multiple constraints. Discovering such answers is costly, whereas verifying a candidate can often be decomposed i…

cs.AI2026

OPOD: On-Policy Omni Distillation

Tong Zhao, Yuyang Hu, Reed Li +5

Omni-modal models provide a unified interface for text, images, and audio. However, improving these abilities together remains difficult, as post-training on pooled multimodal data…

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.AI20261 cited

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,…