Too much social media gives AI chatbots ‘brain rot’
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NeuroPathNet: Dynamic Path Trajectory Learning for Brain Functional Connectivity Analysis
arXiv:2510.24025v2 Announce Type: replace-cross Abstract: Understanding the evolution of brain functional networks over time is of great significance for the…
What Work is AI Actually Doing? Uncovering the Drivers of Generative AI Adoption
arXiv:2510.23669v2 Announce Type: replace-cross Abstract: Purpose: The rapid integration of artificial intelligence (AI) systems like ChatGPT, Claude AI, etc., has…
FaCT: Faithful Concept Traces for Explaining Neural Network Decisions
arXiv:2510.25512v1 Announce Type: cross Abstract: Deep networks have shown remarkable performance across a wide range of tasks, yet getting a…
Reflections on the Reproducibility of Commercial LLM Performance in Empirical Software Engineering Studies
arXiv:2510.25506v1 Announce Type: cross Abstract: Large Language Models have gained remarkable interest in industry and academia. The increasing interest in…
Scheduling Your LLM Reinforcement Learning with Reasoning Trees
arXiv:2510.24832v1 Announce Type: new Abstract: Using Reinforcement Learning with Verifiable Rewards (RLVR) to optimize Large Language Models (LLMs) can be…
Game-TARS: Pretrained Foundation Models for Scalable Generalist Multimodal Game Agents
arXiv:2510.23691v1 Announce Type: new Abstract: We present Game-TARS, a generalist game agent trained with a unified, scalable action space anchored…
Eigen-Value: Efficient Domain-Robust Data Valuation via Eigenvalue-Based Approach
arXiv:2510.23409v2 Announce Type: replace-cross Abstract: Data valuation has become central in the era of data-centric AI. It drives efficient training…
PaTaRM: Bridging Pairwise and Pointwise Signals via Preference-Aware Task-Adaptive Reward Modeling
arXiv:2510.24235v1 Announce Type: cross Abstract: Reward models (RMs) are central to reinforcement learning from human feedback (RLHF), providing the critical…