Cover Image

CARL-GT: Evaluating Causal Reasoning Capabilities of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tu, Ruibo, Kjellström, Hedvig, Henter, Gustav Eje, Zhang, Cheng
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Causality for Tabular Data Synthesis: A High-Order Structure Causal Benchmark Framework
by: Tu, Ruibo, et al.
Published: (2024)

Evaluating Interventional Reasoning Capabilities of Large Language Models
by: Kasetty, Tejas, et al.
Published: (2024)

Exploring Internal Numeracy in Language Models: A Case Study on ALBERT
by: Wennberg, Ulme, et al.
Published: (2024)

VoXtream: Full-Stream Text-to-Speech with Extremely Low Latency
by: Torgashov, Nikita, et al.
Published: (2025)

VoXtream2: Full-stream TTS with dynamic speaking rate control
by: Torgashov, Nikita, et al.
Published: (2026)

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models
by: Zhang, Yuzhe, et al.
Published: (2024)

Enhancing Causal Reasoning in Large Language Models: A Causal Attribution Model for Precision Fine-Tuning
by: Cai, Hengrui, et al.
Published: (2023)

Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
by: Kıcıman, Emre, et al.
Published: (2023)

Optimizing Language Models for Human Preferences is a Causal Inference Problem
by: Lin, Victoria, et al.
Published: (2024)

A Design-based Solution for Causal Inference with Text: Can a Language Model Be Too Large?
by: Tierney, Graham, et al.
Published: (2025)

End-To-End Causal Effect Estimation from Unstructured Natural Language Data
by: Dhawan, Nikita, et al.
Published: (2024)

TWIN-GPT: Digital Twins for Clinical Trials via Large Language Model
by: Wang, Yue, et al.
Published: (2024)

Matcha-TTS: A fast TTS architecture with conditional flow matching
by: Mehta, Shivam, et al.
Published: (2023)

CLEAR: Can Language Models Really Understand Causal Graphs?
by: Chen, Sirui, et al.
Published: (2024)

Language Models as Causal Effect Generators
by: Bynum, Lucius E. J., et al.
Published: (2024)

Proximal Causal Inference With Text Data
by: Chen, Jacob M., et al.
Published: (2024)

A Causal Lens for Evaluating Faithfulness Metrics
by: Zaman, Kerem, et al.
Published: (2025)

RCT Rejection Sampling for Causal Estimation Evaluation
by: Keith, Katherine A., et al.
Published: (2023)

Using Imperfect Surrogates for Downstream Inference: Design-based Supervised Learning for Social Science Applications of Large Language Models
by: Egami, Naoki, et al.
Published: (2023)

Debiasing Watermarks for Large Language Models via Maximal Coupling
by: Xie, Yangxinyu, et al.
Published: (2024)

MuPlon: Multi-Path Causal Optimization for Claim Verification through Controlling Confounding
by: Guo, Hanghui, et al.
Published: (2025)

Discovering and Reasoning of Causality in the Hidden World with Large Language Models
by: Liu, Chenxi, et al.
Published: (2024)

Causal Representation Learning from Multimodal Clinical Records under Non-Random Modality Missingness
by: Liang, Zihan, et al.
Published: (2025)

Evaluating the Unseen Capabilities: How Many Theorems Do LLMs Know?
by: Li, Xiang, et al.
Published: (2025)

Omitted Variable Bias in Language Models Under Distribution Shift
by: Lin, Victoria, et al.
Published: (2026)

Text Rationalization for Robust Causal Effect Estimation
by: Zhang, Lijinghua, et al.
Published: (2025)

Causal Inference on Outcomes Learned from Text
by: Modarressi, Iman, et al.
Published: (2025)

Robust Detection of Watermarks for Large Language Models Under Human Edits
by: Li, Xiang, et al.
Published: (2024)

Random Text, Zipf's Law, Critical Length,and Implications for Large Language Models
by: Berman, Vladimir
Published: (2025)

Industrial-Grade Smart Troubleshooting through Causal Technical Language Processing: a Proof of Concept
by: Trilla, Alexandre, et al.
Published: (2024)

A Comparative Study of DSPy Teleprompter Algorithms for Aligning Large Language Models Evaluation Metrics to Human Evaluation
by: Sarmah, Bhaskarjit, et al.
Published: (2024)

How to Evaluate Entity Resolution Systems: An Entity-Centric Framework with Application to Inventor Name Disambiguation
by: Binette, Olivier, et al.
Published: (2024)

ALCM: Autonomous LLM-Augmented Causal Discovery Framework
by: Khatibi, Elahe, et al.
Published: (2024)

Causal Discovery from Conditionally Stationary Time Series
by: Balsells-Rodas, Carles, et al.
Published: (2021)

Unified speech and gesture synthesis using flow matching
by: Mehta, Shivam, et al.
Published: (2023)

Do Bias Benchmarks Generalise? Evidence from Voice-based Evaluation of Gender Bias in SpeechLLMs
by: Satish, Shree Harsha Bokkahalli, et al.
Published: (2025)

Evaluating the Generalization Capabilities of Large Language Models on Code Reasoning
by: Yang, Rem, et al.
Published: (2025)

Causal Language Modeling Can Elicit Search and Reasoning Capabilities on Logic Puzzles
by: Shah, Kulin, et al.
Published: (2024)

Annotation Sensitivity: Training Data Collection Methods Affect Model Performance
by: Kern, Christoph, et al.
Published: (2023)

AutoEval Done Right: Using Synthetic Data for Model Evaluation
by: Boyeau, Pierre, et al.
Published: (2024)