Procedural Fairness in Multi-Agent Bandits
Research introduces procedural fairness, defined as equal voice and representation within a policy, for multi-agent multi-armed bandits.
Search signals, briefings, benchmarks and glossary terms.
Research introduces procedural fairness, defined as equal voice and representation within a policy, for multi-agent multi-armed bandits.
Preprints and research are separated from the executive feed. Publication here is not validation; open the paper and inspect its evidence.
| Date ↓ | Source | Development | Posture | Horizon | Topics |
|---|---|---|---|---|---|
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | Procedural Fairness in Multi-Agent Bandits ↗ | Monitor | Next 12 months | responsible ai, explainability, agentic ai |
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | The Role of Causality in Algorithmic Recourse ↗ | Monitor | Next 12 months | algorithmic recourse, explainability, responsible ai |
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | LightRot: A Light-Weighted Rotation Scheme and Architecture for Accurate Low-Bit Large Language Model Inference ↗ | Monitor | Next 12 months | inference cost, compute cost, hardware acceleration |
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | ReToken: One Token to Improve Vision-Language Models for Visual Retrieval ↗ | Monitor | Next 12 months | multimodal reasoning, inference cost, context window |
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | GyRot: Leveraging Hidden Synergy between Rotation and Fine-grained Group Quantization for Low-bit LLM Inference ↗ | Monitor | Next 12 months | inference cost, compute cost, infrastructure tooling |
| 31 Jul 2026 | arXiv cs.LG — Machine Learning | Quadratic Objective Perturbation: Curvature-Based Differential Privacy ↗ | Monitor | Next 12 months | differential privacy, privacy enhancing technologies, model training |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | Neuromorphic Diffusion Language Models: Addressing Compute and Memory Bottlenecks via Sparsity and Block Denoising ↗ | Monitor | Next 12 months | inference cost, compute cost, llm architecture |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | CLBench-V: Evaluating Multimodal Context Learning from Grounding to Knowledge Acquisition ↗ | Monitor | Next 12 months | multimodal reasoning, model evaluation, context window |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | Addressable Recall Compaction for Long Context-Window Control in AI Agents ↗ | Monitor | Next 12 months | context window, agentic ai, infrastructure tooling |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | Stemma: Induced Decision Regions Reveal LLM Provenance ↗ | Monitor | Next 12 months | model evaluation, llm security, responsible ai |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | Reading Without a Reader: Large Language Models Collapse Reading and Writing into a Single Entangled Code ↗ | Monitor | Watchlist | llm architecture, cognitive science, model limitations |
| 29 Jul 2026 | arXiv cs.CL — Computation and Language | Detecting Knowledge Inconsistencies Across Text, Tables, and Knowledge Graphs ↗ | Monitor | Next 12 months | knowledge representation, multimodal reasoning, data quality |
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