Papers by Jonathan Cook

1 papers
Check Your Work: Structured Checklist Feedback for Improving Large Language Models (2026.acl-long)

Copied to clipboard

Challenge: Recent advances in Large Language Models have been driven by verifiable feedback in deterministic domains like mathematics and code.
Approach: They propose to decompose granular, prompt-specific checklists into a scalar reward and use them to transform them into skalar rewards.
Outcome: The proposed approach yields an 11.8% win-rate improvement on AlpacaEval 2.0 using Qwen3-8B, outperforming holistic reward models and existing checklist baselines.

What is GenGO?

GenGO is an NLP powered publication search system. It currenctly indexes 30k+ papers from ACL Anthology, and implements multi-aspect summarization, semantic search, and more!

Information

About
Limitations