Latest Research in Artificial Intelligence
375 research papers · 0.0 average citations · 2026 median publication year
Top Research Topics in Artificial Intelligence
- Artificial Intelligence — 59 papers
- Scientific Computing and Data Management — 24 papers
- Ethics and Social Impacts of AI — 24 papers
- Computation and Language — 18 papers
- Cellular Automata and Applications — 17 papers
- Adversarial Robustness in Machine Learning — 15 papers
- Software Engineering — 14 papers
- Explainable Artificial Intelligence (XAI) — 11 papers
- Machine Learning — 11 papers
- Multi-Agent Systems and Negotiation — 8 papers
Highest-Cited Papers
- The collective turing test: large language models can generate realistic multi-user discussions (1 citations)
- When Do Agent Loops Mistake Stagnation for Progress? Self-Evaluation Bias and Externally Grounded Verification in Long-Running Autonomous LLM Agent Loops
- Repair as Representational Work: Integration Bottlenecks in AI-Assisted Development
- A Graph-Native Bitemporal Memory Store for Conversational AI Agents
- CaM-Wolf: Causal-Aware Multimodal Agents for Social Deduction Games
- Do Models Fake Alignment Without Clear Consequences?
- Measure what Matters: Psychometric Evaluation of AI with Situational Judgment Tests
- Setoka: A Benchmark for Hierarchical User Understanding in Personalized Agents over Heterogeneous Data
- Adversarial Pragmatics for AI Safety Evaluation: A Diagnostic Framework and Seed Benchmark for Language-Mediated Control
- What Licenses Sameness Through Change? A Short Orientation to the Identity-Persistence Program Toward a Structural Theory of Regime Specification
- ANT 3.0: Angular-Norm Transport, Verified Whole-Object Digestion, and Living Colony Computation [CPU-First]
- Grading the Narrators: An Isnād–Rijāl Framework for Claim-Level Provenance in Multi-Agent Knowledge Systems
- Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
- Provenance-Tiered Conflict Resolution in Agent Memory
- ANT (Angular-Norm Transport) & Agentized Neural Computation: A Living Colony for Turning Data, Graphs, Models, and Meaning Trajectories into Verified Executable Knowledge | [CPU-First [!]]
- The Evaluator Trust Boundary: A defect class in AI evaluation infrastructure, its prevalence across 36 organizations, and its removal by training
- Context Observability: A Data-Observability Framework for Governing Shared Memory in Multi-Agent AI Coding Systems
- ANT: Angular-Norm Transport and Agentized Neural Computation [CPU-First]
- The Evaluator Trust Boundary: A defect class in AI evaluation infrastructure, its prevalence across 36 organizations, and its removal by training
- ANT (Angular-Norm Transport) & Agentized Neural Computation: A Living Colony for Turning Data, Graphs, Models, and Meaning Trajectories into Verified Executable Knowledge | [CPU-First [!]]