Study Explores Reasoning Creativity and Compositional Generalization
tw_killian · x · 2026-07-10
This ICML 2026 study investigates whether models can solve new reasoning problems by recombining previously mastered skills, referred to as "reasoning creativity." It provides a mechanistic analysis of how SFT and RL help models extract reusable structures.
More from Research
- Lab monkeys at $30-80K each: a 4-year breeding cycle is the real preclinical drug bottleneck — zebird0 · 2026-10-27
- OpenAI Foundation funds UNC tumor antigen project, hiring senior experimental scientist — iskander · 2026-10-27
- Steering attention heads toward honesty: up moral patienthood, down psychopathy — edelwax · 2026-10-27
- Are transcoders overkill? New paper argues plain neurons suffice for circuit analysis — burny_tech · 2026-10-27
- EMNLP paper GENIE: a fine-grained metric locating where LLM stories are novel — gregd_nlp · 2026-10-27
- Hashed n-gram value embeddings push GPT to 3.2115 loss, beating 30M track record — RobertTLange · 2026-10-27