Active Causal Discovery Benchmark: Evaluating LLM Agents Under Budgeted Interventions
cs.LG, cs.AI
Submitted: 2026-09-16
Updated: 2026-09-16
Terminology
Sources
- On the Number of Experiments Sufficient and in the Worst Case Necessary to Identify All Causal Relations Among N Variables
- SWE-bench: Can Language Models Resolve Real-World GitHub Issues?
- CLadder: Assessing Causal Reasoning in Language Models
- Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
- AgentBench: Evaluating LLMs as Agents
- Can large language models build causal graphs?
- GAIA: a benchmark for General AI Assistants
- OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
- Causal Parrots: Large Language Models May Talk Causality But Are Not Causal
- WebArena: A Realistic Web Environment for Building Autonomous Agents
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