Researchers Debate CFG Necessity in Diffusion Models and High-Dim Modeling
kalomaze · x · 2026-08-21
Rebutting the idea that diffusion models don't need CFG while autoregressive ones do, a researcher argues this highlights the field's struggle with high-dimensional fidelity modeling rather than being a misconception. The discussion references papers on autoregressive models in image domains [1,2] and diffusion in language domains [3].
Related event: Researchers Debate Whether Autoregressive and Diffusion Models Need CFG(2 posts)→
More from Research
- SpliceAI2 benchmarks show major gains across nine splicing-variant evaluations — anshulkundaje · 2026-10-16
- GRPO post-training collapses model distributions, clashing with long-horizon agents — zsakib_ · 2026-10-16
- RFdiffusion3 update in Science shows major gains in protease and metallohydrolase design — anshulkundaje · 2026-10-16
- ORL pushes diffusion LMs to a new speed-intelligence Pareto frontier with ~6.9x throughput gains — james_y_zou · 2026-10-16
- Why CoT is the key: classic paper shows transformers need it for serial problems — willcb · 2026-10-16
- Terence Tao: OpenAI's 300-paper dump wiped out junior research projects overnight — Hesamation · 2026-10-16