:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Author:	Huang, Yiming
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	https://arxiv.org/abs/2601.12317
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

XAI for In-hospital Mortality Prediction via Multimodal ICU Data
by: Li, Xingqiao, et al.
Published: (2023)

LLM-AutoDP: Automatic Data Processing via LLM Agents for Model Fine-tuning
by: Huang, Wei, et al.
Published: (2026)

PnPXAI: A Universal XAI Framework Providing Automatic Explanations Across Diverse Modalities and Models
by: Kim, Seongun, et al.
Published: (2025)

Discovering Data Manifold Geometry via Non-Contracting Flows
by: Vigouroux, David, et al.
Published: (2026)

Probe-Based Data Attribution: Discovering and Mitigating Undesirable Behaviors in LLM Post-Training
by: Xiao, Frank, et al.
Published: (2026)

Automatic Demonstration Selection for LLM-based Tabular Data Classification
by: Han, Shuchu, et al.
Published: (2025)

Towards Explainable Artificial Intelligence (XAI): A Data Mining Perspective
by: Xiong, Haoyi, et al.
Published: (2024)

Mind the XAI Gap: A Human-Centered LLM Framework for Democratizing Explainable AI
by: Paraschou, Eva, et al.
Published: (2025)

RedactOR: An LLM-Powered Framework for Automatic Clinical Data De-Identification
by: Singh, Praphul, et al.
Published: (2025)

When Does Multi-Agent RL Improve LLM Workflows? Workflow, Scale, and Policy-Sharing Tradeoffs
by: Zeng, Yifan, et al.
Published: (2026)

MetaLLMix : An XAI Aided LLM-Meta-learning Based Approach for Hyper-parameters Optimization
by: Bal-Ghaoui, Mohamed, et al.
Published: (2025)

Large-Scale Optimization Model Auto-Formulation: Harnessing LLM Flexibility via Structured Workflow
by: Liang, Kuo, et al.
Published: (2026)

Automatic LLM Red Teaming
by: Belaire, Roman, et al.
Published: (2025)

A Mechanistic Explanatory Strategy for XAI
by: Rabiza, Marcin
Published: (2024)

Discovering Mathematical Formulas from Data via GPT-guided Monte Carlo Tree Search
by: Li, Yanjie, et al.
Published: (2024)

On the Hardness of Computing Counterfactual and Semifactual Explanations in XAI
by: Artelt, André, et al.
Published: (2026)

FAIR_XAI: Improving Multimodal Foundation Model Fairness via Explainability for Wellbeing Assessment
by: Chiang, Sophie, et al.
Published: (2026)

A method for the systematic generation of graph XAI benchmarks via Weisfeiler-Leman coloring
by: Fontanesi, Michele, et al.
Published: (2025)

DiscoverLLM: From Executing Intents to Discovering Them
by: Kim, Tae Soo, et al.
Published: (2026)

Multi-View Encoders for Performance Prediction in LLM-Based Agentic Workflows
by: Trirat, Patara, et al.
Published: (2025)

Transduction is All You Need for Structured Data Workflows
by: Gliozzo, Alfio, et al.
Published: (2025)

Discovering Behavioral Predispositions in Data to Improve Human Activity Recognition
by: Popko, Maximilian, et al.
Published: (2022)

Discovering Association Rules in High-Dimensional Small Tabular Data
by: Karabulut, Erkan, et al.
Published: (2025)

Automatic Configuration of LLM Post-Training Pipelines
by: Chwa, Channe, et al.
Published: (2026)

XAI-Units: Benchmarking Explainability Methods with Unit Tests
by: Lee, Jun Rui, et al.
Published: (2025)

Axe the X in XAI: A Plea for Understandable AI
by: Páez, Andrés
Published: (2024)

Action Engine: Automatic Workflow Generation in FaaS
by: Esashi, Akiharu, et al.
Published: (2024)

Discovering environments with XRM
by: Pezeshki, Mohammad, et al.
Published: (2023)

Automatic Causal Fairness Analysis with LLM-Generated Reporting
by: Berarducci, Alessia, et al.
Published: (2026)

LLM Data Selection and Utilization via Dynamic Bi-level Optimization
by: Yu, Yang, et al.
Published: (2025)

Reliable Explanations or Random Noise? A Reliability Metric for XAI
by: Sengupta, Poushali, et al.
Published: (2026)

Informative Semi-Factuals for XAI: The Elaborated Explanations that People Prefer
by: Aryal, Saugat, et al.
Published: (2026)

STRIDE: Subset-Free Functional Decomposition for XAI in Tabular Settings
by: Ko, Chaeyun
Published: (2025)

OpenXAI: Towards a Transparent Evaluation of Model Explanations
by: Agarwal, Chirag, et al.
Published: (2022)

CHILLI: A data context-aware perturbation method for XAI
by: Anwar, Saif, et al.
Published: (2024)

Agentics 2.0: Logical Transduction Algebra for Agentic Data Workflows
by: Gliozzo, Alfio Massimiliano, et al.
Published: (2026)

Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data
by: Lin, Chu-Cheng, et al.
Published: (2025)

PCS Workflow for Veridical Data Science in the Age of AI
by: Rewolinski, Zachary T., et al.
Published: (2025)

BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
by: Xu, Iris, et al.
Published: (2025)

Multivariate Temporal Regression at Scale: A Three-Pillar Framework Combining ML, XAI, and NLP
by: Francis, Jiztom Kavalakkatt, et al.
Published: (2025)