Increase Your Paper's Acceptance Odds at Top CS Venues

"CSPaper Review pinpoints venue-specific acceptance blockers and delivers a prioritized fix list, letting my partners iterate and verify improvements quickly. I'm eager to see what's next from CSPaper."

Lingjuan Lyu, Head of PPML and VFM Sony Research | IBM Ph.D. Fellow | AI's 10 to Watch | MIT TR35 China | World's Top 2% Scientists, Stanford University

"CSPaper Review provided clear, prioritized action points like a concrete, ranked to do list. It highlighted venue-specific issues such as dataset transparency, ablation sufficiency, and figure readability before they became acceptance blockers. The iterative re-run process allowed us to refine and validate improvements efficiently, leading to a much stronger final version."

Danfeng Hong, Professor, Southeast University | Ph.D. Technical University of Munich | IEEE GRSS Early Career Award | Highly Cited Researcher (Clarivate Analytics)

"I have found CSPaper Review to be a valuable tool that provides clear, rubric-aligned feedback tailored to top conferences like SIGIR and ICML. I recommended it to my students, as it not only sharpens their submissions but also helps them better understand the standards of the peer-review process."

Yongfeng Zhang, Tenured Associate Professor, Rutgers University | Ph.D. Tsinghua University | B.S. Peking University

"I have been using CSPaper for the past few months, and it is remarkable how valuable it has been. Not only can I preview potential reviewer comments, but I can also address them and re-run the simulation, significantly improving my submissions and increasing the chances of acceptance. I strongly recommend this service to all researchers, and especially to PhD students."

Sofiane Ennadir, Research Scientist, Microsoft Gaming (King) | Ph.D. KTH | MSc École Polytechnique

"Employing CSPaper gave us a chance to refine the draft to a professional standard before peer reviews. It could provide suggestions to improve the writing and figures. I would recommend this platform to researchers for improving their papers."

Luo Minnan, Professor, Xi'an Jiaotong University | Post-Doc CMU | Ph.D. Tsinghua University

"CSPaper provides an efficient and insightful platform for reviewing research literature, helping industrial teams like ours bridge academic rigor with real-world innovation and streamline the publication of our industrial research papers."

Xiaolong Liu, Director of Robot Algorithm Group, Imotion Mobility Co. Ltd | Intel Postdoctoral Fellow | Ph.D., Tsinghua University

"In my lab, we use CSPaper to systematically evaluate manuscripts and ensure that arguments are both well-grounded in literature and methodologically sound. Its analytical feedback supports the refinement of ideas before peer review. This has noticeably improved the scholarly clarity and depth of our publications."

Wenbin Huang, Tenure-Track Associate Professor and Ph.D. Advisor, Gaoling School of Artificial Intelligence, Renmin University

"We have tried the CSPaper for our submission to ICLR, and interestingly enough, it suggested a paper as related work that we initially missed. It also provided valuable suggestions for improving the paper's quality."

Sepideh Pashami, Associate Professor at the Center for Applied Intelligent Systems Research, Halmstad University | Senior Researcher at RISE (Research Institutes of Sweden)

"I was honestly rather surprised by the high quality of the feedback that I received from the CSPaper review system. The feedback was balanced, comprehensive and had a surprising amount of technical depth. I think this is an impressive and useful tool."

Johannes Lutzeyer, Assistant Professor at École Polytechnique

"With CSPaper, authors can access early insights and improvement suggestions, ensuring their papers are better prepared and more polished from the start."

Xin Zheng, Assistant Professor at RMIT University Australia