--- title: "Thomas Icard · Stanford University — author profile and papers" description: "Thomas Icard, Stanford University: 2 papers on Elamur Research (2023), h-index 19 — affiliations, topics, co-authors and who cites them in…" canonical: "https://research.elamur.ai/free/en/authors/thomas-icard/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/thomas-icard/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Thomas Icard # Thomas Icard Thomas Icard has 2 papers in our library, in 2023, most of them on [Interpretability](https://md.research.elamur.ai/free/en/topics/interpretability/); often with [Atticus Geiger](https://md.research.elamur.ai/free/en/authors/atticus-geiger/), [Christopher E. Potts](https://md.research.elamur.ai/free/en/authors/christopher-e-potts/), [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/). 2 papers in our library · 2023 [OpenAlex](https://openalex.org/A5079244248) · [**h-index 19**](https://openalex.org/authors/A5079244248) · [90 works](https://openalex.org/works?filter=author.id:A5079244248) · [3,688 citations](https://openalex.org/works?filter=author.id:A5079244248&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/thomas-icard/#papers) · [🔗 Cited 2,296 times in our library](https://md.research.elamur.ai/free/en/authors/thomas-icard/cited-by/) · [12 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6934](https://md.research.elamur.ai/free/en/paper-stars/page/70/#star-6934) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Thomas+Icard) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Thomas+Icard) · [dblp](https://dblp.org/search?q=Thomas+Icard) · [ACL Anthology](https://aclanthology.org/search/?q=Thomas+Icard) ## Affiliations [🎓**Stanford University** Stanford · United States 2008–2026 · 70 papers*current*](https://md.research.elamur.ai/free/en/universities/stanford-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [History and Philosophy of Science · 1 work](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/history-and-philosophy-of-science/) · [Mathematics · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/) · [Statistics and Probability · 1 work](https://md.research.elamur.ai/free/en/shelves/mathematics/statistics-and-probability/) 🧭 Topics 1 Research subjects and languages the work is about.[Interpretability · 1 work](https://md.research.elamur.ai/free/en/topics/interpretability/) ## Works by year ### 2020s [**2023** 2 papers](https://md.research.elamur.ai/free/en/authors/thomas-icard/year/2023/) ## Papers The most cited first (OpenAlex and our library). 1. **[Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations](https://md.research.elamur.ai/free/en/papers/geiger-2023-finding-alignments-between-interpretable-causal/)** *(2023 · 81 citations)* Causal abstraction tests whether a neural network faithfully implements a simpler, interpretable algorithm. 2. **[Interpretability at Scale: Identifying Causal Mechanisms in Alpaca](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/)** *(2023 · 81 citations)* Causal-abstraction methods test whether a neural network actually implements a human-readable algorithm, but until now they had only been applied to small, task-specific models. ## All works 14 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them. 1. **[Holistic Evaluation of Language Models ↗](https://arxiv.org/abs/2211.09110) arXiv:2211.09110 · Published in Transactions on Machine Learning Research (TMLR), 2023 · no summary yet**Percy Liang et al.*2022 · 1,001 citations* 2. **[On Pearl's Hierarchy and the Foundations of Causal Inference ↗](https://doi.org/10.1145/3501714.3501743) Probabilistic and Causal Inference: The Works of Judea Pearl, ACM Books · no summary yet**Elias Bareinboim et al.*2022 · 181 citations* 3. **[Causal Abstractions of Neural Networks ↗](https://arxiv.org/abs/2106.02997) arXiv:2106.02997 · no summary yet**Atticus Geiger et al.*2021 · 151 citations* 4. [**Finding Alignments Between Interpretable Causal Variables and Distributed Neural Representations arXiv:2303.02536**Atticus Geiger, Zhengxuan Wu, Christopher Potts, et al.*2023 · 81 citations*](https://md.research.elamur.ai/free/en/papers/geiger-2023-finding-alignments-between-interpretable-causal/) 5. **[Interpretability at Scale: Identifying Causal Mechanisms in Alpaca](https://md.research.elamur.ai/free/en/papers/wu-2023-interpretability-scale-identifying-causal-mechanisms/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Zhengxuan Wu, Atticus Geiger, Thomas Icard, et al.*2023 · 81 citations* 6. **[Causal Abstraction: A Theoretical Foundation for Mechanistic Interpretability ↗](https://arxiv.org/abs/2301.04709) arXiv:2301.04709 · no summary yet**Atticus Geiger et al.*2023 · 65 citations* 7. **[Inducing Causal Structure for Interpretable Neural Networks ↗](https://arxiv.org/abs/2112.00826) arXiv (Cornell University) · no summary yet**Atticus Geiger et al.*2021 · 53 citations* 8. **[Language models cannot reliably distinguish belief from knowledge and fact ↗](https://doi.org/10.1038/s42256-025-01113-8) Nature Machine Intelligence · no summary yet**Mirac Süzgün et al.*2025 · 28 citations* 9. **[Causal Distillation for Language Models ↗](https://aclanthology.org/2022.naacl-main.318/) Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yet**Zhengxuan Wu et al.*2022 · 25 citations* 10. **[Belief in the Machine: Investigating Epistemological Blind Spots of Language Models ↗](https://arxiv.org/abs/2410.21195) arXiv (Cornell University) · no summary yet**Mirac Süzgün et al.*2024 · 12 citations* 11. **[A Reply to Makelov et al. (2023)'s "Interpretability Illusion" Arguments ↗](https://arxiv.org/abs/2401.12631) arXiv (Cornell University) · no summary yet**Zhengxuan Wu et al.*2024 · 5 citations* 12. **[Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors ↗](https://arxiv.org/abs/2505.11770) arXiv (Cornell University) · no summary yet**Huang, Jing et al.*2025 · 3 citations* 13. **[Transcoder Adapters for Reasoning-Model Diffing ↗](https://arxiv.org/abs/2602.20904) arXiv (Cornell University) · no summary yet**Nathan Hu et al.*2026* 14. **[Evaluating Commercial AI Chatbots as News Intermediaries ↗](https://arxiv.org/abs/2605.22785) arXiv (Cornell University) · no summary yet**Mirac Süzgün et al.*2026* ## Co-authors here 4 co-authors with a page, the most papers together first. - [Atticus Geiger](https://md.research.elamur.ai/free/en/authors/atticus-geiger/) ×2 - [Christopher E. Potts](https://md.research.elamur.ai/free/en/authors/christopher-e-potts/) ×2 - [Noah D. Goodman](https://md.research.elamur.ai/free/en/authors/noah-d-goodman/) ×2 - [Zhengxuan Wu](https://md.research.elamur.ai/free/en/authors/zhengxuan-wu/) ×2 ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2023](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2023/) - Nature Machine Intelligence - Probabilistic and Causal Inference: The Works of Judea Pearl, ACM Books - Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies ## Cited by Papers of our library cite their works 2,296 times (of the 149,439 papers whose bibliographies we read); [494 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/thomas-icard/cited-by/). Updated 2 November 2026