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Popular CS conferences and journals
Increase Your Paper's Acceptance Odds at Top CS Venues
Discover how top-tier computer science conferences, like ICML, NeurIPS, ICLR, KDD, etc., might evaluate your research.
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How it works
2Upload your paper
Add your PDF paper or paste an Arxiv URL
3Submit for review
3 free reviews monthly then 1 credit per paper review
Supported conferences and journals
AAAI
AAAI Conference on Artificial Intelligence
AAMAS
International Conference on Autonomous Agents and Multiagent Systems
ACL
Annual Meeting of the Association for Computational Linguistics
AISTATS
International Conference on Artificial Intelligence and Statistics
CVPR
The IEEE/CVF Conference on Computer Vision and Pattern Recognition
EMNLP
The Conference on Empirical Methods in Natural Language Processing
ICASSP
The IEEE International Conference on Acoustics, Speech, and Signal Processing
ICLR
International Conference on Learning Representations
ICML
International Conference on Machine Learning
IJCAI
International Joint Conference on Artificial Intelligence
KDD
ACM SIGKDD Conference on Knowledge Discovery and Data Mining
NeurIPS
The Annual Conference on Neural Information Processing Systems
SIGIR
International ACM SIGIR Conference on Research and Development in Information Retrieval
TheWebConf
The Web Conference (formerly known as the International World Wide Web Conference, abbreviated as WWW)
WACV
The IEEE/CVF Winter Conference on Applications of Computer Vision
For researchers. By researchers.
State of the art PDF parsing solutions
We rigorously test leading PDF parsers to ensure text, figures, tables, equations, algorithms, and references are extracted with high fidelity. Review agents then validate these artefacts.
Conference and track specific reviews
Each review uses the official template and rubric for your chosen venue, track, and year, ensuring feedback is tailored to your submission and aligned with conference standards.
Tangible, actionable, and quantifiable results
Our review agents deliver rubric-faithful, score-based reviews with clear, actionable guidance on dimensions like novelty, clarity, and significance.
Fast turnaround, affordable access
Our optimized system generates reviews in ~60 seconds, cutting costs so every user gets 3 free monthly reviews plus affordable extras.
Ongoing benchmarking with top VLLMs
We benchmark review agents with GPT, DeepSeek, and Llama (Gemini and Claude coming soon), iterating to ensure the most reliable, rubric-aligned feedback.
Verified related work, not hallucinations
We suggest and verify relevant related work—never hallucinated papers—and explain why each reference strengthens your paper, ensuring citation integrity.
Desk rejection assessment included
Before the full review, our system checks length, topic fit, quality, correctness, and prompt risks—flagging early desk-rejection factors.
Support for arXiv LaTeX source
Beyond PDFs, we review arXiv LaTeX source and artefacts—summarising core ideas, strengths, and quality so you can focus on the most relevant work.
Self-service review management
You can inspect, sort, and search all your past reviews in a personal dashboard, with the option to delete results or data at any time for full control.
Privacy and security first
Manuscripts are processed automatically, never used for training, and stored securely with full user control over data management.
A supportive community
CSPaper is not only a tool but also a community platform where researchers can share feedback, exchange ideas, and discuss best practices — building a collaborative ecosystem for improving paper quality.
Want to learn more?
For further technical details, see our short paper accepted at INLG 2025 (18th International Conference on Natural Language Generation).
What our users say
"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