| 2026 | ACL | LLM-Guided Semantic Bootstrapping for Interpretable Text Classification with Tsetlin Machines. | Jiechao Gao, Rohan Kumar Yadav, Yuangang Li, Yuandong Pan, Jie Wang, Ying Liu, Michael D. Lepech |
| 2024 | EACL | Tsetlin Machine Embedding: Representing Words Using Logical Expressions. | Bimal Bhattarai, Ole-Christoffer Granmo, Lei Jiao, Rohan Kumar Yadav, Jivitesh Sharma |
| 2023 | AAAI | Drop Clause: Enhancing Performance, Robustness and Pattern Recognition Capabilities of the Tsetlin Machine. | Jivitesh Sharma, Rohan Kumar Yadav, Ole-Christoffer Granmo, Lei Jiao |
| 2022 | IJCAI | Robust Interpretable Text Classification against Spurious Correlations Using AND-rules with Negation. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | AAAI | Human-Level Interpretable Learning for Aspect-Based Sentiment Analysis. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICAART | An Interpretable Word Sense Classifier for Human Explainable Chatbot. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICAART | Interpretability in Word Sense Disambiguation using Tsetlin Machine. | Rohan Kumar Yadav, Lei Jiao, Ole-Christoffer Granmo, Morten Goodwin |
| 2021 | ICML | Massively Parallel and Asynchronous Tsetlin Machine Architecture Supporting Almost Constant-Time Scaling. | Kuruge Darshana Abeyrathna, Bimal Bhattarai, Morten Goodwin, Saeed Rahimi Gorji, Ole-Christoffer Granmo, Lei Jiao, Rupsa Saha, Rohan Kumar Yadav |