…authority-framed falsehoods reach 69.5% attack success and exception-poisoning claims reach 64.1%. A 14-member clinical panel from 7 countries identified serious potential harm in 38.2% of reviewed…
…MASCing uses an LSTM-based surrogate model to capture cross-layer routing dependencies and map routing logits to downstream behaviors. It then optimizes a steering matrix to identify behavior-relevant expert circuits…
…memory-centric experience evolution , orchestration-centric workflow evolution , trajectory-centric offline evolution , and exploration-centric online evolution . And three paradigms of environment evolution are identified, namely neural-driven, difficulty-driven, and scaling…
…from the question to the final answer, and identifying the high-impact reasoning hubs that truly matter. Instead of spraying reward over fluent filler and decisive steps alike, it shapes RL signals…
…a Stuck Monitor that detects degraded progress from recent reasoning-action history and triggers recovery, and a Milestone Monitor that identifies semantically meaningful checkpoints where sparse verification is most informative for catching…
…The third corpus consisted of articles from 33 newspapers, each identified by its political orientation , and the fourth included 535,200 tweets from 597 members of the 20th and 21st German Bundestag…
…Bridging 2D and 3D with Gaussian Soft Splatting and Attention for Point Cloud Completion Published on May 2 Submitted by Zhaoyang LI on May 6 Southwest Jiaotong University Authors: Zhaoyang Li , , Abstract…
…To bridge this gap, we first propose the novel task of Embodied Search and Rescue ( ESAR ), which requires aerial agents to autonomously explore complex environments, identify rescue clues, and reason about victim…
…We identify a compact power law that links model size and expert number : the size-dependent floor decreases with model capacity , while the merging tail exhibits clear diminishing returns in the number…
…and perplexity over the matched vanilla MoE baselines. Across these scales, UniPool reduces validation loss by up to 0.0386 relative to vanilla MoE. Beyond raw loss improvement, our results identify pool…