Causal-Discovery Performance of ChatGPT in the context of Neuropathic Pain Diagnosis
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Abstract (arXiv)
ChatGPT has demonstrated exceptional proficiency in natural language conversation, e.g., it can answer a wide range of questions while no previous large language models can. Thus, we would like to push its limit and explore its ability to answer causal discovery questions by using a medical benchmark (Tu et al. 2019) in causal discovery.
Key facts. Cited by 36 papers in the map (data through 14 Oct 2026). Builds on 1 of its 4 references that are in the map. First posted on arXiv 24 Jan 2023.
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Citing papers per year: 2023: 13; 2024: 17; 2025: 4; 2026: 2.
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- 2023Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignmentcited by 401
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 353
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMscited by 229
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- 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
- 2023Causal Discovery with Language Models as Imperfect Expertscited by 64
- 2023Integrating Large Language Model for Improved Causal Discoverycited by 54
- 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 40
- 2024The Essential Role of Causality in Foundation World Models for Embodied AIcited by 32
- 2024Causal Inference with Large Language Model: A Surveycited by 32
- 2024ALCM: Autonomous LLM-Augmented Causal Discovery Frameworkcited by 29
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- 2024Causal Evaluation of Language Modelscited by 18
- 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Datacited by 18
- 2023Towards Causal Foundation Model: on Duality between Causal Inference and Attentioncited by 17
- 2024A Critical Review of Causal Reasoning Benchmarks for Large Language Modelscited by 14
- 2023ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examinationcited by 10
- 2023Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skillscited by 9
- 2024Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlationcited by 7
- 2024Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulationcited by 5
- 2025Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMscited by 5
- 2025CausalARC: Abstract Reasoning with Causal World Modelscited by 4
- 2024Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validationcited by 3
- 2024Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysiscited by 3
- 2024Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discoverycited by 3
- 2024Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysiscited by 2
- 2024Do LLMs Have the Generalization Ability in Conducting Causal Inference?cited by 2
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPTcited by 1
- 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyondcited by 1
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- 2026CausalSteward: An Agentic Divide-Conquer-Combine Copilot for Causal Discovery2 Jul 2026
- 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond29 Jan 2026
- 2025CausalARC: Abstract Reasoning with Causal World Models3 Sep 2025
- 2025Robust Reward Modeling via Causal Rubrics19 Jun 2025
- 2025Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?17 Jun 2025
- 2025Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs15 Apr 2025
- 2024Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation18 Dec 2024
- 2024Evaluating Large Language Models for Causal Modeling24 Nov 2024
- 2024Do LLMs Have the Generalization Ability in Conducting Causal Inference?15 Oct 2024
- 2024Causal Inference with Large Language Model: A Survey15 Sep 2024
- 2024Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery26 Jul 2024
- 2024Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis12 Jul 2024
24 more
- 2024A Critical Review of Causal Reasoning Benchmarks for Large Language Models10 Jul 2024
- 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Data9 Jul 2024
- 2024Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation29 May 2024
- 2024Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation15 May 2024
- 2024ALCM: Autonomous LLM-Augmented Causal Discovery Framework2 May 2024
- 2024Causal Evaluation of Language Models1 May 2024
- 2024Large Language Models and Causal Inference in Collaboration: A Survey14 Mar 2024
- 2024Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis22 Feb 2024
- 2024Large Language Models for Causal Discovery: Current Landscape and Future Directions16 Feb 2024
- 2024The Essential Role of Causality in Foundation World Models for Embodied AI6 Feb 2024
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs6 Feb 2024
- 2023Causal Structure Learning Supervised by Large Language Model20 Nov 2023
- 2023Towards Causal Foundation Model: on Duality between Causal Inference and Attention1 Oct 2023
- 2023Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills29 Aug 2023
- 2023Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment10 Aug 2023
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT5 Aug 2023
- 2023Causal Discovery with Language Models as Imperfect Experts5 Jul 2023
- 2023Integrating Large Language Model for Improved Causal Discovery29 Jun 2023
- 2023Can Large Language Models Infer Causation from Correlation?9 Jun 2023
- 2023ExplainCPE: A Free-text Explanation Benchmark of Chinese Pharmacist Examination22 May 2023
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
- 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relations28 Apr 2023
- 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness23 Apr 2023
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models4 Apr 2023
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causalitycited by 353
- 2024Causal Inference with Large Language Model: A Surveycited by 32
- 2024ALCM: Autonomous LLM-Augmented Causal Discovery Frameworkcited by 29
- 2024Causal Evaluation of Language Modelscited by 18
- 2024A Critical Review of Causal Reasoning Benchmarks for Large Language Modelscited by 14
- 2023Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skillscited by 9
- 2024Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlationcited by 7
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPTcited by 1
- 2025Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?cited by 0
- 2025Causes in neuron diagrams, and testing causal reasoning in Large Language Models. A glimpse of the future of philosophy?17 Jun 2025
- 2024Prompting Strategies for Enabling Large Language Models to Infer Causation from Correlation18 Dec 2024
- 2024Causal Inference with Large Language Model: A Survey15 Sep 2024
- 2024A Critical Review of Causal Reasoning Benchmarks for Large Language Models10 Jul 2024
- 2024ALCM: Autonomous LLM-Augmented Causal Discovery Framework2 May 2024
- 2024Causal Evaluation of Language Models1 May 2024
- 2023Large Language Models on the Chessboard: A Study on ChatGPT's Formal Language Comprehension and Complex Reasoning Skills29 Aug 2023
- 2023A criterion for Artificial General Intelligence: hypothetic-deductive reasoning, tested on ChatGPT5 Aug 2023
- 2023Causal Reasoning and Large Language Models: Opening a New Frontier for Causality28 Apr 2023
- 2025Robust Reward Modeling via Causal Rubricscited by 19
- 2025Robust Reward Modeling via Causal Rubrics19 Jun 2025
- 2023Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignmentcited by 401
- 2024Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMscited by 229
- 2023Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Modelscited by 154
- 2023Can Large Language Models Infer Causation from Correlation?cited by 146
- 2023Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulnesscited by 130
- 2023Causal Discovery with Language Models as Imperfect Expertscited by 64
- 2023Integrating Large Language Model for Improved Causal Discoverycited by 54
- 2023ChatGPT Evaluation on Sentence Level Relations: A Focus on Temporal, Causal, and Discourse Relationscited by 40
- 2024Large Language Models and Causal Inference in Collaboration: A Surveycited by 26
- 2024Large Language Models for Causal Discovery: Current Landscape and Future Directionscited by 25
- 2023Causal Structure Learning Supervised by Large Language Modelcited by 21
- 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Datacited by 18
12 most cited of 23 All 23 (JSON)
- 2026Evaluating ChatGPT on Medical Information Extraction Tasks: Performance, Explainability and Beyond29 Jan 2026
- 2025Can LLMs Leverage Observational Data? Towards Data-Driven Causal Discovery with LLMs15 Apr 2025
- 2024Evaluating Large Language Models for Causal Modeling24 Nov 2024
- 2024Do LLMs Have the Generalization Ability in Conducting Causal Inference?15 Oct 2024
- 2024Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery26 Jul 2024
- 2024Scalability of Bayesian Network Structure Elicitation with Large Language Models: a Novel Methodology and Comparative Analysis12 Jul 2024
- 2024End-To-End Causal Effect Estimation from Unstructured Natural Language Data9 Jul 2024
- 2024Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation29 May 2024
- 2024Simulating Policy Impacts: Developing a Generative Scenario Writing Method to Evaluate the Perceived Effects of Regulation15 May 2024
- 2024Large Language Models and Causal Inference in Collaboration: A Survey14 Mar 2024
- 2024Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis22 Feb 2024
- 2024Large Language Models for Causal Discovery: Current Landscape and Future Directions16 Feb 2024
12 newest of 23 All 23 (JSON)