CausalT5K: Diagnosing and Informing Refusal for Trustworthy Causal Reasoning of Skepticism, Sycophancy, Detection-Correction, and Rung Collapse
Fuente:
arXiv
Saved in:
| Main Authors: | Geng, Longling, Ouyang, Andy, Wu, Theodore, Barretto, Daphne, Hayes, Matthew John, Cooper, Rachael, Zeng, Yuqiao, Vijay, Sameer, Ancone, Gia, Rai, Ankit, Wolfman, Matthew, Flanagan, Patrick, Chang, Edward Y. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment
by: Chang, Edward Y.
Published: (2026)
by: Chang, Edward Y.
Published: (2026)
libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
by: Wolfman, Gary
Published: (2026)
by: Wolfman, Gary
Published: (2026)
Sycophancy Is Not One Thing: Causal Separation of Sycophantic Behaviors in LLMs
by: Vennemeyer, Daniel, et al.
Published: (2025)
by: Vennemeyer, Daniel, et al.
Published: (2025)
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
by: Sun, Yuxi, et al.
Published: (2025)
by: Sun, Yuxi, et al.
Published: (2025)
Causal Entropy, Control and Leadership Dynamics
by: Turley, Sam, et al.
Published: (2026)
by: Turley, Sam, et al.
Published: (2026)
A note on varieties of non-negative Kodaira dimension with polarized self maps
by: Rai, Ankit
Published: (2026)
by: Rai, Ankit
Published: (2026)
Adversarial Network Imagination: Causal LLMs and Digital Twins for Proactive Telecom Mitigation
by: Sriram, Vignesh, et al.
Published: (2026)
by: Sriram, Vignesh, et al.
Published: (2026)
Multimodal Emotion Recognition via Causal-Diffusion Bridge (Affect-Diff)
by: Sanjyal, Ankit
Published: (2026)
by: Sanjyal, Ankit
Published: (2026)
An Explicit Sixth Order Runge-Kutta Method for Simple Lawson Integration
by: Golden, Matthew
Published: (2025)
by: Golden, Matthew
Published: (2025)
Causal Multi-Task Demand Learning
by: Gupta, Varun, et al.
Published: (2026)
by: Gupta, Varun, et al.
Published: (2026)
Causal Learning for Trustworthy Recommender Systems: A Survey
by: Li, Jin, et al.
Published: (2024)
by: Li, Jin, et al.
Published: (2024)
Causal Fermion Systems as an Effective Collapse Theory
by: Finster, Felix, et al.
Published: (2024)
by: Finster, Felix, et al.
Published: (2024)
GLACIAL: Granger and Learning-based Causality Analysis for Longitudinal Imaging Studies
by: Nguyen, Minh, et al.
Published: (2022)
by: Nguyen, Minh, et al.
Published: (2022)
Drawing the Line: Enhancing Trustworthiness of MLLMs Through the Power of Refusal
by: Wang, Yuhao, et al.
Published: (2024)
by: Wang, Yuhao, et al.
Published: (2024)
Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
by: Binkyte, Ruta, et al.
Published: (2026)
by: Binkyte, Ruta, et al.
Published: (2026)
Detecting Causality with the Links--Gould Polynomial
by: Chernov, Vladimir, et al.
Published: (2026)
by: Chernov, Vladimir, et al.
Published: (2026)
The History of Skepticism
by: Ziemińska, Renata
Published: (2024)
by: Ziemińska, Renata
Published: (2024)
Assumption Smuggling in Intermediate Outcome Tests of Causal Mechanisms
by: Blackwell, Matthew, et al.
Published: (2024)
by: Blackwell, Matthew, et al.
Published: (2024)
SLEM: Machine Learning for Path Modeling and Causal Inference with Super Learner Equation Modeling
by: Vowels, Matthew J.
Published: (2023)
by: Vowels, Matthew J.
Published: (2023)
Causal Perception Inspired Representation Learning for Trustworthy Image Quality Assessment
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
FACT-E: Causality-Inspired Evaluation for Trustworthy Chain-of-Thought Reasoning
by: Sun, Yuxi, et al.
Published: (2026)
by: Sun, Yuxi, et al.
Published: (2026)
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction
by: Chu, Zhixuan, et al.
Published: (2023)
by: Chu, Zhixuan, et al.
Published: (2023)
(1.4) Blackmore Extension (Testing) - Causal Collapse Wall
by: Tofflemire, Daniel
Published: (2025)
by: Tofflemire, Daniel
Published: (2025)
Omitted Labels Induce Nontransitive Paradoxes in Causality
by: Mazaheri, Bijan, et al.
Published: (2023)
by: Mazaheri, Bijan, et al.
Published: (2023)
Enhancing Causal Discovery in Financial Networks with Piecewise Quantile Regression
by: Cornell, Cameron, et al.
Published: (2024)
by: Cornell, Cameron, et al.
Published: (2024)
Integrating Genetics and Environment to Find Causal Mechanisms for Multiple Sclerosis
by: Alicia Munoz Leon, et al.
Published: (2026)
by: Alicia Munoz Leon, et al.
Published: (2026)
Bucketing the Good Apples: A Method for Diagnosing and Improving Causal Abstraction
by: Puyin, Li, et al.
Published: (2026)
by: Puyin, Li, et al.
Published: (2026)
The Estimation of Continual Causal Effect for Dataset Shifting Streams
by: Chen, Baining, et al.
Published: (2025)
by: Chen, Baining, et al.
Published: (2025)
Measuring and Enhancing Trustworthiness of LLMs in RAG through Grounded Attributions and Learning to Refuse
by: Song, Maojia, et al.
Published: (2024)
by: Song, Maojia, et al.
Published: (2024)
ALAS: A Stateful Multi-LLM Agent Framework for Disruption-Aware Planning
by: Chang, Edward Y., et al.
Published: (2025)
by: Chang, Edward Y., et al.
Published: (2025)
ALAS: Transactional and Dynamic Multi-Agent LLM Planning
by: Geng, Longling, et al.
Published: (2025)
by: Geng, Longling, et al.
Published: (2025)
RAudit: A Blind Auditing Protocol for Large Language Model Reasoning
by: Chang, Edward Y., et al.
Published: (2026)
by: Chang, Edward Y., et al.
Published: (2026)
REALM-Bench: A Benchmark for Evaluating Multi-Agent Systems on Real-world, Dynamic Planning and Scheduling Tasks
by: Geng, Longling, et al.
Published: (2025)
by: Geng, Longling, et al.
Published: (2025)
SagaLLM: Context Management, Validation, and Transaction Guarantees for Multi-Agent LLM Planning
by: Chang, Edward Y., et al.
Published: (2025)
by: Chang, Edward Y., et al.
Published: (2025)
Causality as the Statistical Conscience of Artificial Intelligence: From Pearl's Ladder to Trustworthy Machines
by: Fokoué, Ernest
Published: (2026)
by: Fokoué, Ernest
Published: (2026)
Trustworthy AI/ML Regression and Unbiased Causal Inference for Real-World Data
by: Xu, Yifei, et al.
Published: (2026)
by: Xu, Yifei, et al.
Published: (2026)
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models
by: Binkyte, Ruta, et al.
Published: (2025)
by: Binkyte, Ruta, et al.
Published: (2025)
Safety-aware Causal Representation for Trustworthy Offline Reinforcement Learning in Autonomous Driving
by: Lin, Haohong, et al.
Published: (2023)
by: Lin, Haohong, et al.
Published: (2023)
Algebraicity of ratios of special $L$-values for $\mathrm{GL}(n)$
by: Rai, Ankit, et al.
Published: (2024)
by: Rai, Ankit, et al.
Published: (2024)
Algebraicity of ratios of special L‐values for GL(n)
by: Ankit Rai, et al.
Published: (2026)
by: Ankit Rai, et al.
Published: (2026)
Similar Items
-
Diagnosing and Mitigating Sycophancy and Skepticism in LLM Causal Judgment
by: Chang, Edward Y.
Published: (2026) -
libhmm: A Modern C++20 Library for Hidden Markov Models with Correct MLE Emission M-Steps
by: Wolfman, Gary
Published: (2026) -
Sycophancy Is Not One Thing: Causal Separation of Sycophantic Behaviors in LLMs
by: Vennemeyer, Daniel, et al.
Published: (2025) -
CausalAbstain: Enhancing Multilingual LLMs with Causal Reasoning for Trustworthy Abstention
by: Sun, Yuxi, et al.
Published: (2025) -
Causal Entropy, Control and Leadership Dynamics
by: Turley, Sam, et al.
Published: (2026)