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Interlock framework synthesizes long-horizon agent tasks that improve agent pass rates after training
Interlock represents tasks as completion graphs and generates workspaces, requests and rubrics. 16 points.
Brain encoding method BrainLoRA sets Algonauts 2025 record using parameter-efficient fine-tuning
The paper adapts backbones up to 104B parameters with LoRA and reports the best published result on the Algonauts 2025 Challenge using Qwen3-Omni. An ensemble of 200+ adapted models ranks first on the public post-challenge leaderboard.