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ICML 2026Explainable AI

ConEx: Human-Interpretable Saliency Maps via Concept-Aware Attribution

ConEx bridges saliency maps with concept reasoning via automatic concept discovery to generate faithful, human-interpretable visual explanations.

Yehonatan Elisha, Oren Barkan, Ziv Weiss Haddad, Noam Koenigstein

Published Oct 3, 2026 · 0 citations · ▲ 1 on Hugging Face

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arXivExplainable AI

MEA: A Reward-Driven Multi-Agent System for Faithful Model Explanations

MEA is a multi-agent framework that uses reward-driven optimization to generate faithful natural-language explanations across tabular, text, and vision data, outperforming baselines by up to 34%.

Yuyang Cheng, R. Ravi, Srivarshinee Sridhar, Sriparna Saha and 2 more

Published Oct 1, 2026 · 0 citations · ▲ 4 on Hugging Face

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lenient 5/5
medium 7/10
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74%Highly rated
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arXivExplainable AI

XAI Evaluation Cards: A Practical Method for Designing Human-Centred XAI Evaluations

XAI Evaluation Cards provide a card-sorting method to systematically design human-centered evaluations of explainable AI systems across disciplines.

Kristýna Sirka Kacafírková, Ivania Donoso-Guzmán, Denis Parra, Katrien Verbert and 1 more

Published Oct 1, 2026 · 0 citations

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45%Niche pick
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NeurIPS 2026Jagiellonian University CracowJagiellonian University, GMUMJagiellonianExplainable AI

ProDG: Prototypes for Data-Free Generative Post-Hoc Explainability

Piotr Borycki, Magdalena Trędowicz, Jacek Tabor, Łukasz Struski and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Georgia Institute of TechnologyNorthwesternTTICExplainable AI

Near-optimal Explainable $k$-means Clustering under $\ell_p$ Norm

Xinyuan Cao, Konstantin Makarychev, Ilias Papanikolaou, Liren Shan

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Air Force - MIT AI AcceleratorIndian Institute of Technology MMITMassachusetts Institute of TechnExplainable AI

Causal Concept Explanations for Deep Neural Models

Joshua Rountree, Pulkit Verma, Oswin So, Chuchu Fan and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026TU DarmstadtEindhoven University of TechnoloExplainable AI

Decomposing Effects in Neural Causal Models

Matej Zečević, Devendra Singh Dhami, Kristian Kersting

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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69%Highly rated
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NeurIPS 2026U Oxford / MartianU OxfordIndependentMartianGoogle DeepMindExplainable AI

Chain-of-Thought Is Not Explainability

Fazl Barez, Tung-Yu Wu, Iván Arcuschin Moreno, Michael Lan and 12 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Saarland University, UniversitätTianjin University of TechnologyU MacauU ExeterExplainable AI

Interpretable but Fragile? Robustness of Concept Bottlenecks under Geometric-Semantic Perturbations

Hanwei Zhang, Tianma Hu, Gaojie Jin, Xu Cheng and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Huazhong University of Science aiWudao TechSouth China University of TechnoExplainable AI

NORMA: Norm-Guided Explanation Subgraph Discovery

Xiangyu Fu, Wei Liu, Jun Wang, Yang Qiu and 2 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026ColumbiaGoogle DeepMindExplainable AI

Counterfactual Debugging the World Model Transfer Gap

Mingxuan Li, Kai-Zhan Lee, Michael Dennis, Elias Bareinboim

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Eindhoven University of TechnoloTU EindhovenExplainable AI

Unpacking the Evaluators: How Configuration Shapes the Evaluation of Alignment in Explainable AI

Gizem Karagoz, Tanir Özçelebi, Nirvana Meratnia

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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67%Highly rated
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NeurIPS 2026New YorkExplainable AI

Can LLMs explain themselves truthfully with code?

Nhi Nguyen, Shauli Ravfogel, Rajesh Ranganath

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026Massachusetts Institute of TechnMITAnthropicExplainable AI

Introspective Coupling: LMs Learn to Explain Themselves Better Than Their Training Targets

Zifan Carl Guo, Laura Ruis, Jacob Andreas, Belinda Z Li

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026CNRSLIPN - Laboratoire d'InformExplainable AI

Learning Global Probabilistic Explanations

Frederic Koriche, Louenas Bounia

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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57%Worth a look
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NeurIPS 2026STAIR Lab, Chiba Institute of TeU California, San DiegoZOZO ResearchExplainable AI

Transferring Visual Explainability from Self-Explaining to Prediction-Only Vision Transformers via Task Arithmetic

Yuya Yoshikawa, Ryotaro Shimizu, Takahiro Kawashima, Yuki Saito

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026DukeU North Carolina at Chapel HillDukeExplainable AI

Diverse Representative Rashomon Sets for Sparse Generalized Additive Models

Varun Babbar, Christopher Li, Chudi Zhong, Cynthia Rudin

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Eberhard Karls Universität TübinU TübingenU TuebingenExplainable AI

Foveated BagNet: Inherent Interpretability Does Not Exclude Global Context

Holger Heidrich, Sarah Müller, Andreas Schilling

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U BathH CompanyMax Planck Institute for Human DExplainable AI

Explanation Mechanism Influences Human Reliance on Reinforcement Learning Agents

Xuying Zhong, Daniel Beechey, Crescent Jicol, Janina A. Hoffmann and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Lamarr Institute; UniverThe Lamarr Institute for MachineRheinische Friedrich-Wilhelms UnFraunhofer IAISExplainable AI

A New Perspective on XAI: Scientific Theory Building for Auditable Artefacts

Sebastian R. Müller, Vanessa Toborek, Tamas Horvath, Brendan B Jackson and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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