18 stories tagged with #hierarchical, in publish-time order across the WeSearch catalog. Tag pages update as new stories ingest.
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Fictional Worldbuilding: Multi-Agent LLM Collaboration with Hierarchical Context Compression and Iterative Review
arXiv:2607.09403v1 Announce Type: new Abstract: Worldbuilding, the construction of coherent fictional worlds, is a foundational task in game design and literary creation. Large Lan…
ToE: A Hierarchical and Explainable Claim Verification Framework with Dynamic Multi-source Evidence Retrieval and Aggregation
arXiv:2606.27736v1 Announce Type: new Abstract: The rapid spread of fake news poses increasing threats to information ecosystems, especially as AI-generated misinformation under Ge…
SkillPyramid: A Hierarchical Skill Consolidation Framework for Self-Evolving Agents
Recent AI agents can flexibly invoke skills to solve complex tasks, but their long-term improvement is fundamentally constrained by a lack of systematic skill construction, accumul…
When to Re-Plan: Subgoal Persistence in Hierarchical Latent Reasoning
Long-horizon reasoning requires a system to commit to medium-horizon intent without becoming rigid: re-plan too often and computation never coheres into multi-step structure; commi…
Exploiting Local Dynamics Regularity for Reusable Skills in Offline Hierarchical RL
Hierarchical Reinforcement Learning (HRL) promises to solve long-horizon Reinforcement Learning (RL) tasks more efficiently than non-hierarchical counterparts by discovering and re…
Capping VLM spend per CV researcher: hierarchical budgets in practice
TL;DR: Our 11-person CV team at Prophesee was burning through €3-4k weeks of VLM spend on dataset...…
Adaptive Human-AI Coordination via Hierarchical Action Disentanglement
Human-AI collaboration requires agents that can adapt to diverse partner behaviors and skill levels while remaining robust to unseen partners. Existing methods often collapse to a …
Partner-Aware Hierarchical Skill Discovery for Robust Human-AI Collaboration
Multi-agent collaboration, especially in human-AI teaming, requires agents that can adapt to novel partners with diverse and dynamic behaviors. Conventional Deep Hierarchical Reinf…
BOHM: Zero-Cost Hierarchical Attribution for Compound AI Systems
Compound AI systems route tasks through hierarchies of specialised components. Attribution is dominated by Shapley-based methods (SHAP), which decompose a coalition value function …
From Automated to Autonomous: Hierarchical Agent-native Network Architecture (HANA)
Realizing Level 4/5 Autonomous Networks (AN) demands a shift from static automation to agent-native intelligence. Current operations, reliant on rigid scripts, lack the cognitive a…
Interaction Locality in Hierarchical Recursive Reasoning
Spatial reasoning requires both location-bound computation and location-invariant structure: agents must make local moves while preserving route, object, or constraint-level plans.…
Closed-form predictive coding via hierarchical Gaussian filters
Predictive coding (PC) offers a local and biologically grounded alternative to backpropagation in the training of artificial neural networks, yet to date, it remains slower, and pe…
Heartbeat-Bound Hierarchical Credentials: Cryptographic Revocation for AI Agent Swarms
Autonomous AI agents that spawn sub-agent swarms create a safety gap: existing credential revocation mechanisms, OAuth~2.0 introspection, OCSP, and W3C Status Lists, require networ…
NOML-NOML: hierarchical TD3 + anchor policy for flight control [P]
Towards Family-Grouped Hierarchical Federated Learning on Sub-5KB Models: A Feasibility Study of Privacy-Preserving ECG Monitoring for Ultra-Resource-Constrained Wearables
Cardiovascular disease remains the leading cause of death worldwide, and early detection of arrhythmias through continuous ECG monitoring on wearable devices can prevent life-threa…
Creating a hierarchical structure of markdown files (Obsidian.md) notes
Sketch Then Paint: Hierarchical Reinforcement Learning for Diffusion Multi-Modal Large Language Models
Diffusion Multi-Modal Large Language Models (dMLLMs) are powerful for image generation, but optimizing them through reinforcement learning (RL) remains a major challenge. One prima…
Self-supervised Hierarchical Visual Reasoning with World Model
3D open-world environments with adversarial opponents remain a core challenge for reinforcement learning due to their vast state spaces. Effective reasoning representations are ess…