Professor: 2-3 iterations with frontier models yields high-quality peer reviews
anshulkundaje · x · 2026-09-21
Stanford professor Anshul Kundaje shares his hands-on experience using frontier models to co-write peer reviews: within 2-3 iterations he gets more readable reviews, fully vetted by him, that combine his and the AI's strengths. The AI often catches issues like code not matching methods descriptions. He plans to write 5-6 such reviews monthly starting December, possibly doubling later.
Related event: Stanford Professor Plans AI-Assisted Peer Reviews, 5-6 Papers Monthly(5 posts)→
More from Research
- Science study: rare inherited EGFR T790M mutation raises lung cancer risk in never-smokers — gharik · 2026-09-21
- Dodging reward hacking: fine-tuning Qwen3.5-4B with Jev to nail alliterations — AAAzzam · 2026-09-21
- Brood War Bench: Codex Astra goes 18-0 while no model plays beyond beginner level — steipete · 2026-09-21
- JevBench v1.2: open-source LLM leaderboard weighting intelligence, calibration, speed, cost — airesearch12 · 2026-09-21
- MICCAI 2026 Tutorial to Explain Zeta Scaling Law Behind Medical AI Competition Rankings — PTenigma · 2026-09-21
- A 4B verifier locates hidden failures and boosts long-horizon agent reliability without retraining — teortaxesTex · 2026-09-21