collaborators

5 papers

cs.CY2026

DeepTutor: Towards Agentic Personalized Tutoring

Bingxi Zhao, Jiahao Zhang, Xubin Ren +4

Education is one of the most promising real-world applications for Large Language Models (LLMs). However, current LLMs rely on static pre-training knowledge and lack adaptation to…

cs.RO2026

RoboLineage: Agent-Native Data Lifecycle Governance Across Robot Policy Iterations

Qian Luo, Wentao Guo, Zhennan Qin +4

We present RoboLineage, an agent-native data lifecycle governance system for robot policy iteration. Modern robot policies improve through repeated data collection, review, retrain…

cs.CL2026

Can AI Be a Good Peer Reviewer? A Survey of Peer Review Process, Evaluation, and the Future

Sihong Wu, Owen Jiang, Yilun Zhao +5

Peer review is a multi-stage process involving reviews, rebuttals, meta-reviews, final decisions, and subsequent manuscript revisions. Recent advances in large language models (LLM…

cs.CL2026

RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation

Sihong Wu, Yiling Ma, Yilun Zhao +4

Large language models (LLMs) are increasingly used across the scientific workflow, including to draft peer-review reports. However, many AI-generated reviews are superficial and in…

cs.CL2026

DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence

DeepSeek-AI, Anyi Xu, Bangcai Lin +315

We present a preview version of DeepSeek-V4 series, including two strong Mixture-of-Experts (MoE) language models -- DeepSeek-V4-Pro with 1.6T parameters (49B activated) and DeepSe…