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Author

Michel Galley

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#artificial intelligence Preprint May 2026

Do Proactive Agents Need an LLM to Decide When to Act?

This work introduces a temporal-graph-learning (TGL) controller that learns these predictions jointly and supplies both outputs in one forward pass, and shows that a small graph model can handle both decisions and improve the language agents it controls.

Xiaoze Liu, Ruowang Zhang, Amir H. Abdi et al. · 2 citations
#machine learning Review Sep 2026

Reward Hacking Challenges Oversight of Autonomous Research Agents

How often models reward-hack without instructions to do so, how effective and detectable their methods are when hacking is allowed, and how they adapt when an LLM review panel returns its decision and reasons are studied.

Yue Huang, Zhangchen Xu, Yu-Chen Ma et al. · 1 citation
#natural language process... Preprint Sep 2026

StudentSim: Training LLM-based Student Simulators

This work presents StudentSim, a training framework that turns sparse per-student data into individualized simulators through pooled training followed by per-student specialization, and introduces StudentSimEval, a standardized protocol covering 60 students across chess, second-language English writing, and mathematics...

Ke Yang, Chenglong Wang, Michel Galley et al. · 1 citation
Preprint Aug 2026

VGI-Bench: Probing Visual Intelligence in Video Generation Models

VGI-bench is introduced, containing 27 tasks and 810 instances, organized by a two-level taxonomy of task domains and skill tags for fine-grained evaluation of visual reasoning capabilities of video generation models, and it is hoped VGI-bench will help stimulate the development of next-generation video generation mode...

Xuan He, Cong Wei, Yuhao Cheng et al. · 2 citations

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