Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model

Toward Deployable Bangla Sign Language Recognition with Expert-Validated Data and a Lightweight Attention-Based Model

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.06252v2 Announce Type: replace-cross Abstract: Deaf and hard-of-hearing people in Bangladesh communicate mainly through Bangla Sign Language (BdSL). Automatic BdSL recognition on personal devices could…

QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing

QuantumMind: Constraint-Grounded Agentic Reasoning for Speedup Analysis in Quantum Computing

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07743v1 Announce Type: new Abstract: Identifying a meaningful quantum speedup requires more than matching a classical problem to a familiar quantum primitive: the claim must…

Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation

Triple Expert Learning from Noisy Labels for Semi-Supervised Vision Foundation Model Adaptation

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.09052v1 Announce Type: cross Abstract: Semi-supervised adaptation of vision foundation models (VFMs) commonly freezes the pretrained backbone and updates lightweight modules such as LoRA. However,…

Adaptive Two-Level Allocation of a Conserved Capacity Budget Across Locations and Service Classes

Adaptive Two-Level Allocation of a Conserved Capacity Budget Across Locations and Service Classes

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07747v1 Announce Type: new Abstract: We study how to share a single conserved capacity budget across many locations and two service classes when demand is…

FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

FedA2L: Adaptive layer-wise learning rate adjustment in decentralized federated learning

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.09208v1 Announce Type: cross Abstract: Decentralized intelligence systems with heterogeneous devices and limited coordination increasingly rely on decentralized federated learning (DFL). However, DFL suffers from…

Emergence Invariance: From Symbolized Thought to Structural Control

Emergence Invariance: From Symbolized Thought to Structural Control

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.01548v2 Announce Type: replace Abstract: Language-first intelligence is constrained by which distinctions enter its symbolic record, which mappings its language--interpreter--environment complex can execute, and which…

Contextual Value Alignment via Multilayer Combinatorial Fusion

Contextual Value Alignment via Multilayer Combinatorial Fusion

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07642v1 Announce Type: new Abstract: Aligning large language models (LLMs) with human values remains a major challenge, especially for trustworthy AI. While existing approaches such…

The Cell Must Go On: Agar.io for Continual Reinforcement Learning

The Cell Must Go On: Agar.io for Continual Reinforcement Learning

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2505.18347v3 Announce Type: replace-cross Abstract: Continual reinforcement learning (RL) concerns agents that are expected to learn continually, rather than converge to a policy that is…

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

Mendel G\"odel Machine: Recursive Self-Improving Coding Agents via Comparative Evolution

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07645v1 Announce Type: new Abstract: Self-improving coding agents that iteratively rewrite their own source code have demonstrated impressive performance on coding tasks. However, existing solutions…

The Theory of Strategic Evolution: Games with Endogenous Players and the Seven Laws of Strategic Replicators

The Theory of Strategic Evolution: Games with Endogenous Players and the Seven Laws of Strategic Replicators

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2512.07901v4 Announce Type: replace-cross Abstract: Von Neumann founded both game theory and the theory of self-reproducing automata, but the two programs never merged. Rational players…

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography

An Agentic AI Framework Overcomes Fundamental Limitations of Large Language Models for Glaucoma Detection from Fundus Photography

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07651v1 Announce Type: new Abstract: Large language models (LLMs) show promise in medical image interpretation but suffer from hallucination, limited accuracy, and run-to-run inconsistency. We…

Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids

Critic-Free Deep Reinforcement Learning for Maritime Coverage Path Planning on Irregular Hexagonal Grids

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2603.28385v2 Announce Type: replace-cross Abstract: Maritime surveillance missions, such as search and rescue and environmental monitoring, rely on the efficient allocation of sensing assets over…

IntelliAudit: Using Large Language Models to Evaluate Audit Controls

IntelliAudit: Using Large Language Models to Evaluate Audit Controls

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07688v1 Announce Type: new Abstract: IT audits require auditors to judge whether heterogeneous organizational evidence satisfies semantic security and compliance controls. This judgment is difficult…

Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap

Toward Measuring AI's Effects on Skill Formation: The Stock-Formation Gap

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2605.16283v3 Announce Type: replace-cross Abstract: Large-scale AI deployment data and controlled learning experiments characterize different consequences of the same technology. Deployment telemetry shows that AI…

Towards Researcher Agents for Knowledge-Graph Question Answering

Towards Researcher Agents for Knowledge-Graph Question Answering

12/08/2026 04:00 - cs.AI updates on arXiv

arXiv:2608.07700v1 Announce Type: new Abstract: Translating a natural-language question into a SPARQL query that can be executed against a large knowledge graph requires resolving lexical…