Benchmarking Language Models for Statistical Problem Formulation

arXiv:2609.01982 · cs.AI · Submitted 2026-09-02 · Read on arXiv

cs.AI

Submitted: 2026-09-02

Updated: 2026-09-05

Code: https://github.com/THU-CongLab/StatFormBench

Terminology

• Benchmark — 25× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Benchmarking — 4× in this paper · explained in 3 episodes
• Adam — 3× in this paper · explained in 2 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Adaptation — 2× in this paper · explained in 1 episode
• Clustering — 2× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
• AUC — 1× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Causal Reasoning — 1× in this paper · explained in 2 episodes
• Core — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Hierarchical Classification — 1× in this paper · explained in 2 episodes
• Time Series Forecasting — 1× in this paper · explained in 3 episodes

Sources

• ScienceAgentBench: Toward Rigorous Assessment of Language Agents for Data-Driven Scientific Discovery
• StatEval: A Comprehensive Benchmark for Large Language Models in Statistics
• GPT-4o System Card
• Kimi K2.5: Visual Agentic Intelligence
• DataSciBench: An LLM Agent Benchmark for Data Science

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