From the 1 of 5 linked papers with an AI index.
5 papers
Omni-Decision: A Progressive Evidence-State Agent System for Omni-Modal QA
Ming Ma, Yi Zhu, Yiran Zhong +6
The paper introduces Omni-Decision, a training‑free system that keeps a structured evidence state to guide agents in gathering and validating omni‑modal information (videos, audio,…
A Tale of Two Graphs: Separating Knowledge Exploration from Outline Structure for Open-Ended Deep Research
Zhuofan Shi, Ming Ma, Zekun Yao +7
Open-Ended Deep Research (OEDR) pushes LLM agents beyond short-form QA toward long-horizon workflows that iteratively search, connect, and synthesize evidence into structured repor…
SimLens for Early Exit in Large Language Models: Eliciting Accurate Latent Predictions with One More Token
Ming Ma, Bowen Zheng, Zhongqiao Lin +1
Intermediate-layer predictions in large language models (LLMs) are informative but hard to decode accurately, especially at early layers. Existing lens-style methods typically rely…
Learning with Challenges: Adaptive Difficulty-Aware Data Generation for Mobile GUI Agent Training
Linjia Kang, Zhimin Wang, Yongkang Zhang +5
Large-scale, high-quality interaction trajectories are essential for advancing mobile Graphical User Interface (GUI) agents. While existing methods typically rely on labor-intensiv…
Label Words as Local Task Vectors in In-Context Learning
Bowen Zheng, Ming Ma, Zhongqiao Lin +1
Large Language Models (LLMs) have demonstrated remarkable abilities, one of the most important being in-context learning (ICL). With ICL, LLMs can derive the underlying rule from a…