ICML 2027 chair crowdsources fixes for AI slop; researcher proposes LLM desk-reject of 90% papers
ZeeshanZiaML · x · 2026-09-21
ICML 2027 Program Chair Andrew Wilson asked for creative ideas on handling exploding submissions, AI slop, reviewing quality and bureaucracy. Zeeshan Zia proposed a concrete workflow: build a 50-accept/50-reject test set at the PC level, tune an LLM prompt against it, then use that prompt for a first desk-rejection pass targeting 90% desk rejection.
More from Companies & People
- Cloudflare Trains Its Own Clef and Clairic Models to Complete Its Agent Stack — michellechen · 2026-11-12
- Board drama may have been the fatal blow to OpenAI, argues commentator — teortaxesTex · 2026-11-12
- OpenAI's five biggest failures laid out: pretraining decline, alignment fears, enterprise lost to Claude — teortaxesTex · 2026-11-12
- Engineer Event Highlights Shift to Always-On Background AI Workloads — reneeshah123 · 2026-11-12
- Midjourney CEO David Holz: why not put a billion dollars into simulators instead of data collection — DavidSHolz · 2026-11-12
- Stripe exec invites internet businesses to onboard AI agents with identity, payments and fraud tools — jeff_weinstein · 2026-11-12