Study finds authors' self-rankings predict paper citations better than peer review
kchonyc · x · 2026-08-25
A study published in Nature Computational Science finds that authors' rankings of their own AI conference papers predict later citations better than peer-review scores. Based on a large-scale experiment, the results suggest self-rankings could serve as a simple complement to peer review by capturing conceptual depth and long-term promise.
More from Research
- Open Source AI Eval Skills Guide Coding Agents — petergyang · 2026-08-25
- Critique of LoCoMo and LongMemEval: Seeking better memory benchmarks — LowDistribution3995 · 2026-08-25
- Standard Machines launches to teach AI advanced chip design via RL — ycombinator · 2026-08-25
- SWE-Bench ProMax Benchmark Targets Large-Scale Code Refactoring — rseroter · 2026-08-25
- Optima now supports benchmarking Qwen3.8 27B — ArtificialAnlys · 2026-08-25
- PhysCaP: Physics-Informed Agent for Robotic Manipulation — Chen-Yu Lin · 2026-08-25