Stanford NLP lands multiple COLM orals, from human-agent collaboration eval to memorization
stanfordnlp · x · 2026-10-06
- Stanford NLP has multiple papers in the first oral session of the COLM conference on Oct 6 (10am Pacific), including CollabSkill (evaluating human-agent collaboration, with Diyi Yang's group) and Feder Cooper & Percy Liang's work on extracting memorized pieces of books.
- Keynotes from Stanford colleagues Chelsea Finn and Jenj Pan are also on the agenda.
Related event: Stanford's CollabSkill benchmark tops Claude Code in human-AI collaboration(3 posts)→
More from Research
- tszzl: Mechanistic interpretability is the bare minimum to make AI alignment an engineering discipline — tszzl · 2026-10-06
- Causal Decision-Making Preprint Presented at Simons Institute Trustworthy AI Workshop — murat_kocaoglu_ · 2026-10-06
- Claude produces O(n^1.9992) 3SUM algorithm with Lean proof, vetted by top experts — thegautamkamath · 2026-10-06
- ReSteer open-sourced: fixing VLA policies that ignore mid-execution instruction switches — siddkaramcheti · 2026-10-06
- Researcher presenting Latent Policy States in Reasoning Models at COLM this week — hunarbatra · 2026-10-06
- COLM 2026 Paper: Reasoning Fine-Tuning Induces Persistent Latent Policy States in LLMs — hunarbatra · 2026-10-06