READY or Not: Reliable Enterprise Agent Deployment
cs.AI
Submitted: 2026-09-02
Updated: 2026-09-02
Code: https://github.com/UKGovernmentBEIS/inspect_ai
Terminology
Sources
- Agents' Last Exam
- GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
- xbench: Tracking Agents Productivity Scaling with Profession-Aligned Real-World Evaluations
- CliniCARE-Bench: Clinical Calibrated Audit of Medical Reasoning in EHR
- AI Agents That Matter
- Humanity's Last Exam
- Language Models (Mostly) Know What They Know
- Designing Benchmarks for Knowledge Work
- Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
- BrowseComp: A Simple Yet Challenging Benchmark for Browsing Agents
- DRBench: A Realistic Benchmark for Enterprise Deep Research
- Evaluation and Benchmarking of LLM Agents: A Survey
- TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks
- WorkBench: a Benchmark Dataset for Agents in a Realistic Workplace Setting
- Measuring Faithfulness in Chain-of-Thought Reasoning
- Selective Classification for Deep Neural Networks
- Coverage-Constrained Human-AI Cooperation with Multiple Experts
- A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification
- Conformal Prediction with Large Language Models for Multi-Choice Question Answering
- Language Models Prefer What They Know: Relative Confidence Estimation via Confidence Preferences
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- MindHelper: Closed-Loop Embodied Mental-State Reasoning for Precision Intervention
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