Workshop CFP adds a Novel Findings track for data-backed mechanistic papers
ninamiolane · x · 2026-07-27
The workshop’s CFP adds a new Novel Findings track for papers with real data and a geometric, topological, or algebraic mechanism, even if they do not use fancy ML/DL.
- It includes three submission tracks: Proceedings (9 pages), Extended Abstract (4 pages), and the new Novel Findings track.
- The organizers say the new track is for work like the 2023 toroidal grid-cell attractor paper.
- The goal is to bring mechanistic, data-backed findings to the ML community.
The post also asks people to share the call with the broader ML community.
More from Research
- Inferact’s Kimi-K3-DSpark draft model reuses MLA caches to speed up vLLM serving — vllm_project · 2026-07-27
- Kimi K3 uses fixed-size KDA state instead of a growing KV cache — vllm_project · 2026-07-27
- Astribot’s Lumo-2 uses latent world dynamics to improve long-horizon robot tasks — jiqizhixin · 2026-07-27
- Structured output may cut answer diversity across 44 language models — vista8 · 2026-07-27
- Kimi K3 report uses a recursively generated knowledge graph for post-training tasks — Justin_Halford_ · 2026-07-27
- New study says agent skills should be judged by regressions, not just average gains — omarsar0 · 2026-07-27