| Oct 27, 2026 | Our EMNLP 2026 paper Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems received an Outstanding Paper Award.  |
| Oct 21, 2026 | AnyJev Tacitus, the fine-tuned variant, reached joint 3rd of 219 on the community Jev Decision Index (v0.4.1), ahead of the Jev reference. See the board → |
| Oct 12, 2026 | AnyJev is the highest-placed training-free system on the community Jev Decision Index (v0.3.2): joint 4th of 148, ahead of the Jev reference itself, with no fine-tuning and no weight changes. See the board → |
| Sep 25, 2026 | Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems was selected for an oral presentation at EMNLP 2026. |
| Sep 21, 2026 | Released AnyJev with Nokia Applied Research — turn any LLM into a typed decision model with calibrated probabilities, no fine-tuning. It passed 500 GitHub stars in its first three days. |
| Aug 21, 2026 | Our EMNLP 2026 paper Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems was nominated for an EMNLP 2026 award. |
| Aug 21, 2026 | Our paper Rethinking the Evaluation of Efficiency Methods for Multi-Agent Systems was accepted to the EMNLP 2026 main conference. See you in Budapest! |
| May 01, 2026 | Started as a full-time intern at Nokia AI Research & Development (Sunnyvale, CA), working on Efficiency & System–Method Co-design. |