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cs.AI2026

-Monitor: Dynamic Safety Monitoring for Diffusion LLMs via Hesitation-Aware Routing

Aoxi Liu, Yupeng Chen, James Oldfield +5

Despite the emergence of diffusion large language models (D-LLMs) as an alternative to autoregressive large language models (AR-LLMs), safety monitoring for D-LLMs remains largely…

cs.AI2026

Scientific reasoning does not reliably translate into scientific forecasting in frontier AI

Sean Wu, Pan Lu, Yupeng Chen +7

AI systems are increasingly used to support forward-looking scientific judgment, but it remains unclear whether they can form reliable expectations about future scientific advances…

cs.AI2026

From What to Why: A Multi-Agent System for Evidence-based Chemical Reaction Condition Reasoning

Cheng Yang, Jiaxuan Lu, Haiyuan Wan +2

The chemical reaction recommendation is to select proper reaction condition parameters for chemical reactions, which is pivotal to accelerating chemical science. With the rapid dev…

cs.AI2025

DeepResearch Arena: The First Exam of LLMs' Research Abilities via Seminar-Grounded Tasks

Haiyuan Wan, Chen Yang, Junchi Yu +10

Deep research agents have attracted growing attention for their potential to orchestrate multi-stage research workflows, spanning literature synthesis, methodological design, and e…

cs.AI2025

Can Knowledge-Graph-based Retrieval Augmented Generation Really Retrieve What You Need?

Junchi Yu, Yujie Liu, Jindong Gu +2

Retrieval-Augmented Generation (RAG) based on knowledge graphs (KGs) enhances large language models (LLMs) by providing structured and interpretable external knowledge. However, ex…