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From the 1 of 41 linked papers with an AI index.

most citedDistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models

12 citations · 13 across the 24 of their papers we have counts for

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5 papers · 1 filter

cs.AI2026

MentalThink: Shaping Thoughts in Mental SVG World

Kangheng Lin, Jisheng Yin, Dingming Li +11

We introduce MentalThink, a visual-symbolic reasoning paradigm that equips Multimodal LLMs (MLLMs) with an executable mechanism for "mental" visualization. The core of MentalThink…

cs.AI2026

Skill-Guided Continuation Distillation for GUI Agents

Zhimin Fan, Hongwei Yu, Yeqing Shen +9

Improving GUI agents typically relies on behavior cloning on expert trajectories. However, as the current policy deviates from the expert policy, it inevitably encounters policy-in…

cs.AI2026

From Knowing to Doing: A Memory-Controlled Benchmark for LLM Trading Agents on Stock Markets

Taojie Zhu, Wentao Zhao, Rui Sun +7

Evaluating whether large language model (LLM) agents can profit in capital markets is increasingly framed as end-to-end trading: place an agent in a historical market, let it trade…

cs.AI2026

GEBench: Benchmarking Image Generation Models as GUI Environments

Haodong Li, Jingwei Wu, Quan Sun +14

Recent advancements in image generation models have enabled the prediction of future Graphical User Interface (GUI) states based on user instructions. However, existing benchmarks…

cs.AI2025

Thinking by Doing: Building Efficient World Model Reasoning in LLMs via Multi-turn Interaction

Bao Shu, Yan Cai, Jianjian Sun +11

Developing robust world model reasoning is crucial for large language model (LLM) agents to plan and interact in complex environments. While multi-turn interaction offers a superio…