FDE-Bench: Evaluating End-to-End Delivery from Underspecified Real-World Business Requests
cs.AI, cs.MA
Submitted: 2026-10-10
Updated: 2026-10-10
Sources
- Frontier-Eng: Benchmarking Self-Evolving Agents on Real-World Engineering Tasks with Generative Optimization
- ClarEval: A Benchmark for Evaluating Clarification Skills of Code Agents under Ambiguous Instructions
- HiL-Bench (Human-in-Loop Benchmark): Do Agents Know When to Ask for Help?
- ORAgentBench: Can LLM Agents Solve Challenging Operations Research Tasks End to End?
- Opti-Agent-Bench: Benchmarking End-to-End Optimization R&D Agents on Real-World Business Problems
- A Unified Issue Resolution Benchmark for Requirement Clarification, Planning, and Code Generation for Coding Agents
- Evaluating Large Language Models Trained on Code
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