arXiv:2608.06909v1 Announce Type: new Abstract: Large language model (LLM) agents increasingly operate through long-horizon trajectories involving user…
TRIBE: Predicting Team Performance via Communication Behavior Ensembles
arXiv:2608.06926v1 Announce Type: new Abstract: Designing autonomous agents that effectively assist human teams hinges on understanding team dynamics,…
ReGraph: Learning to Generate Recipe Graphs from Food Images
arXiv:2608.06917v1 Announce Type: new Abstract: Recent Large Multimodal Models (LMMs) have achieved impressive performance in recipe generation from food…
CEDAR: Agent-Orchestrated Tree Search for Goal-Directed Optimization of Complex Systems
arXiv:2608.06871v1 Announce Type: new Abstract: Complex systems, core objects of study in artificial life, model diverse phenomena through nonlinear,…
From Points to Edges: Edge-Conditioned Spectral Operators for Physics-Sensitive PDE Learning
arXiv:2608.06894v1 Announce Type: new Abstract: Neural operators have become a central tool for solving partial differential equations (PDEs), with…
SkillEval: Decomposing Agent Skill Quality into Interpretable Signals
arXiv:2608.06891v1 Announce Type: new Abstract: Agent skills provide reusable procedural knowledge that helps agents solve specialized tasks. As their use…
Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs
arXiv:2608.06808v1 Announce Type: new Abstract: The Automatic Construction of Portfolios via Large Language Models (LLM-ACP) suffers from poor…
Gated-BEPO: Confidence-Gated Bellman Credit Assignment for Large Language Model Agents
arXiv:2608.06861v1 Announce Type: new Abstract: Training large language model agents in long-horizon environments requires assigning credit from sparse…
AI News Brief Hourly Summary 2026-08-10 09h : 12 posts
12 posts were published in the last hour 6:32 : Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence 6:32 : Mind the Gap: A Dual Knowledge Graph Framework for Unified Multi-task User Intent Inference 6:32 : Surg-UniWorld: A Unified…
Capek 0.5: An Execution-Centric Vision-Language Model for Embodied Intelligence
arXiv:2608.06756v1 Announce Type: new Abstract: Vision-language models are increasingly serving as the reasoning core of embodied agents. Robot execution…
Mind the Gap: A Dual Knowledge Graph Framework for Unified Multi-task User Intent Inference
arXiv:2608.06752v1 Announce Type: new Abstract: This paper proposes DKG-MTI, a dual knowledge graph framework for unified multi-task user intent inference…
Surg-UniWorld: A Unified Surgical World Model with Multimodal Control Experts
arXiv:2608.06770v1 Announce Type: new Abstract: Controllable surgical world models can provide a generative foundation for surgical artificial…
LiFTER: A Grounded Neuro-Symbolic Microscope for Continuous-Time Dynamic Graph Forecasting
arXiv:2608.06765v1 Announce Type: new Abstract: Continuous-time dynamic graph models predict future links by compressing past interactions into neural…
MemPrism: Task-Conditioned Relational Memory Views for Long-Horizon Agents
arXiv:2608.06745v1 Announce Type: new Abstract: Long-horizon agents rely on memory to reuse experiences, yet existing memory systems often assume that…
From Cheap Fakes to Pure Synthesis: Addressing the New Era of T2V Fake News Videos
arXiv:2608.06732v1 Announce Type: new Abstract: Recent text-to-video (T2V) generation models enable fake news videos to be synthesized from scratch,…
bioMoR: Biology-Guided Mixture-of-Recursions for Effective Genomic Learning
arXiv:2608.06727v1 Announce Type: new Abstract: Transformer models for high-dimensional omics analysis process thousands of genes or pathways, although…
IB-RL: Isolated Bilateral Reinforcement Learning for Strategic Dialogue Agents
arXiv:2608.06735v1 Announce Type: new Abstract: Reinforcement learning (RL) has achieved strong results in improving large language models (LLMs) on tasks…
The Optimizer Is the Agent: Reasoning-Driven Search across Prompts, Programs, and ML Workflows
arXiv:2608.06714v1 Announce Type: new Abstract: Recent systems for optimizing prompts, programs, and ML workflows typically rely on explicit outer-loop…