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Traj-Evolve: A Self-Evolving Multi-Agent System for Patient Trajectory Modeling in Lung Cancer Early Detection
arXiv:2606.02812v1 Announce Type: new Abstract: Modeling patient trajectories from longitudinal electronic health records (EHRs) requires reasoning over sparse, noisy, and long-context multimodal sequences. Existing LLM-based multi-agent systems address context length but process patients in isolation, failing to mirror how clinicians leverage accumulated experience from similar prior cases. We present Traj-Evolve, a self-evolving multi-agent system with two complementary evolving mechanisms.
Evolving Features vs Evolving Entire Trees with GP for Interpretable Survival Analysis
arXiv:2605.30119v2 Announce Type: replace Abstract: Survival analysis concerns the task of predicting the time until an event occurs. Often used in the medical field, survival analysis deals with incomplete (i.e., censored) data, for instance, from patients who did not experience the event during the duration of the study. For practical use, both accuracy and interpretability are important.
Membrane: A Self-Evolving Contrastive Safety Memory for LLM Agent Defense
arXiv:2606.05743v1 Announce Type: new Abstract: Despite advances in safety alignment, large language models remain vulnerable to continuously evolving jailbreaks. Existing fine-tuned safety classifiers cannot adapt to these evolving attacks, while adaptive memory-based guardrails tend to over-refuse benign queries that resemble stored attacks. We propose Membrane, a self-evolving guardrail built on Contrastive Safety Memory (CSM): each cell pairs the conditions for blocking a harmful query...
Scheduling in Queueing Systems with Uncertain and Evolving Holding Costs
arXiv:2505.21331v2 Announce Type: replace Abstract: In content moderation for social media platforms, the cost of delaying the review of a content is proportional to its view trajectory, which fluctuates and is apriori unknown. Motivated by such uncertain and evolving holding costs, we consider a queueing model where job states evolve based on a Markov chain with state-dependent instantaneous holding costs. We demonstrate that in the presence of such uncertain and evolving holding costs, the...
Halo: Campaign Evolved hits PS5, Xbox and PC on July 28
Halo: Campaign Evolved hits PS5, Xbox and PC on July 28 Take a peek at the new missions in the refreshed Halo. Halo: Campaign Evolved is coming to PlayStation 5, Xbox Series X/S and PC on July 28, beginning with five days of early access on July 23 for Premium Edition and Collector's Edition purchasers. The game will also be included with Xbox Game Pass and cloud play.
Self-evolving LLM agents with in-distribution Optimization
arXiv:2606.07367v1 Announce Type: new Abstract: Large Language Models (LLMs) have recently emerged as powerful controllers for interactive agents in complex environments, yet training them to perform reliable long-horizon decision making remains a fundamental challenge. A key difficulty lies in credit assignment: agents often receive delayed rewards only at the end of episodes. In this paper, we propose Q-Evolve, a self-evolving framework for LLM agents that unifies automatic process-reward...
Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems
arXiv:2606.06114v2 Announce Type: replace Abstract: Self-evolving agents improve through continual self-play and self-generated learning signals, but autonomous evolution can also cause capability degradation and safety drift. Although human feedback has proven effective for static and post-trained agents, its role in self-evolving systems remains underexplored. We introduce Agent Norm Correction through Human-like Oversight and Review (ANCHOR), an LLM-based framework that simulates human...
Towards Healthy Evolution: Exploring the Role and Mechanisms of Human-Agent Interaction in Self-Evolving Systems
Announce Type: new Abstract: Self-evolving agents improve through continual self-play and self-generated learning signals, but autonomous evolution can also cause capability degradation and safety drift. Although human feedback has proven effective for static and post-trained agents, its role in self-evolving systems remains underexplored. We introduce Agent Norm Correction through Human-like Oversight and Review (ANCHOR), an LLM-based framework that simulates human supervision and delivers...
Halo: Campaign Evolved arrives July 28th
As part of its Xbox Games Showcase on Sunday, Microsoft revealed new details about Halo: Campaign Evolved, the upcoming remake of Halo: Combat Evolved's campaign mode. The remake will debut on Xbox Series S / X, PC, and PS5 on July 28th. Today's mission trailer includes a first look at Operation:
Take a deep look at Halo: Campaign Evolved before it launches next month
Take a deep look at Halo: Campaign Evolved before it launches next month This remake of the first game's story hits consoles on July 28. We're around six weeks out from the launch of Halo: Campaign Evolved, which is a remake of the single-player campaign from the very first game in the franchise. You know what that means: the marketing is beginning to heat up.