| 2026 | EACL | Beyond Tokens: Concept-Level Training Objectives for LLMs. | Laya Iyer, Pranav Somani, Alice Guo, Dan Jurafsky, Chen Shani |
| 2025 | NAACL | Rethinking Word Similarity: Semantic Similarity through Classification Confusion. | Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani |
| 2023 | ECIR | Evaluating Humorous Response Generation to Playful Shopping Requests. | Natalie Shapira, Oren Kalinsky, Alex Libov, Chen Shani, Sofia Tolmach |
| 2023 | EMNLP | FAME: Flexible, Scalable Analogy Mappings Engine. | Shahar Jacob, Chen Shani, Dafna Shahaf |
| 2023 | EMNLP | Towards Concept-Aware Large Language Models. | Chen Shani, Jilles Vreeken, Dafna Shahaf |
| 2022 | CHI | "Alexa, Do You Want to Build a Snowman?" Characterizing Playful Requests to Conversational Agents. | Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf |
| 2021 | ACL | How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements. | Chen Shani, Nadav Borenstein, Dafna Shahaf |
| 2020 | ACL | Language (Re)modelling: Towards Embodied Language Understanding. | Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf |