# NeurIPS 2026 Theoretical Paper Evaluations Discussed

Initial scores and confidence levels of theoretical papers are being analyzed.

- **Source:** [r/MachineLearning](https://www.reddit.com/r/MachineLearning)
- **Published:** 2026-07-26
- **Topic:** [Data & AI](https://brifing.si/c/data-ai)
- **Original article:** <https://www.reddit.com/r/MachineLearning/comments/1v77r9s/neurips_2026_main_track_theory_paper_tracker/>
- **On Brifing:** https://brifing.si/s/a3d6565c-2067-45be-bbf1-f5e2e4094f37

## NeurIPS 2026 Theoretical Papers

The initial scores of theoretical papers submitted to NeurIPS 2026 are being discussed among researchers. These papers often receive more conservative scores compared to other areas.

## Initial Scores

A researcher shared that their theoretical paper received scores of 4/3/3 with confidence levels of 3/3/3. These scores are being compared with those of previous years' theoretical papers.

## Evaluation Trends

It has been observed that theoretical papers often receive lower initial scores. This trend seems to continue in this year's evaluation process.

## Researchers' Views

Researchers are sharing the scores of their theoretical papers to understand the evaluation trends in this field. These shares provide an important resource for comparing similar papers.

## Comparative Analysis

The scores of theoretical papers are being compared with those of papers in other fields to identify any differences. This analysis is crucial for understanding consistency in the evaluation process.

## Conclusion and Importance

The low initial scores of theoretical papers highlight an important aspect of evaluating research in this field. These discussions can shed light on future evaluation processes.

## Sources covering this story

- https://www.reddit.com/r/MachineLearning/comments/1v77r9s/neurips_2026_main_track_theory_paper_tracker/ — 

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_Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._
