Some friends told me that this year’s ARR May cycle, i.e., EMNLP 2026, seems to have much lower average scores than previous years. If your scores are not very high, don’t panic too much. I’ve seen papers with a 2.5 meta-review score in ARR still get accepted by top ACL-family conferences when the AC liked the work. Just move on, keep calm, and fingers crossed.

Fun fact: your agent is quietly wrong about the past. Outdated facts aren't deleted, just shadowed to the back. RoMem fixes that. Drop-in reranker, three lines to plug in. The key ideas: > Spin, don't delete Outdated facts rotate out of alignment at query time. Nothing erased. > Some relations expire faster A pretrained gate scores how fast each relation changes. born_in → near zero. works_at → fast. Zero-shot to unseen relations. > Time as rotation, not a label One continuous function. Any timestamp. Including dates never seen in training. 2–3x better at temporal reasoning, with zero drop in static memory. Joint research from Edinburgh, LIGHTSPEED and St Andrews. EMNLP 2026 Main. Paper: Code: