Chen Shani

According to our database, Chen Shani authored at least 20 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Concept Training for Human-Aligned Language Models.

Christine Zhang, Dan Jurafsky, Chen Shani

CoRR, March, 2026

The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?

Chen Shani, Yuval Reif, Nathan Roll, Dan Jurafsky, Ekaterina Shutova

CoRR, January, 2026

Categorize Early, Integrate Late: Divergent Processing Strategies in Automatic Speech Recognition.

Nathan Roll, Pranav Bhalerao, Martijn Bartelds, Arjun Pawar, Yuka Tatsumi, Tolúlopé Ògúnrèmí, Chen Shani, Calbert Graham, Meghan Sumner, Dan Jurafsky

CoRR, January, 2026

Beyond Tokens: Concept-Level Training Objectives for LLMs.

Laya Iyer, Pranav Somani, Alice Guo, Dan Jurafsky, Chen Shani

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Bridged Clustering for Representation Learning: Semi-Supervised Sparse Bridging.

Patrick Peixuan Ye, Chen Shani, Ellen Vitercik

CoRR, October, 2025

One Joke to Rule them All? On the (Im)possibility of Generalizing Humor.

Mor Turgeman, Chen Shani, Dafna Shahaf

CoRR, August, 2025

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning.

Chen Shani, Dan Jurafsky, Yann LeCun, Ravid Shwartz-Ziv

CoRR, May, 2025

Cooking Up Creativity: A Cognitively-Inspired Approach for Enhancing LLM Creativity through Structured Representations.

Moran Mizrahi, Chen Shani, Gabriel Stanovsky, Dan Jurafsky, Dafna Shahaf

CoRR, April, 2025

Measuring Mental Health Variables in Computational Research: Toward Validated, Dimensional, and Transdiagnostic Approaches.

Chen Shani, Elizabeth C. Stade

CoRR, April, 2025

Labeling Messages as AI-Generated Does Not Reduce Their Persuasive Effects.

Isabel O. Gallegos, Chen Shani, Weiyan Shi, Federico Bianchi, Izzy Gainsburg, Dan Jurafsky, Robb Willer

CoRR, April, 2025

Rethinking Word Similarity: Semantic Similarity through Classification Confusion.

Kaitlyn Zhou, Haishan Gao, Sarah Li Chen, Dan Edelstein, Dan Jurafsky, Chen Shani

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2023

The Lean Data Scientist: Recent Advances Toward Overcoming the Data Bottleneck.

Chen Shani, Jonathan Zarecki, Dafna Shahaf

Commun. ACM, February, 2023

Towards Concept-Aware Large Language Models.

Chen Shani, Jilles Vreeken, Dafna Shahaf

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FAME: Flexible, Scalable Analogy Mappings Engine.

Shahar Jacob, Chen Shani, Dafna Shahaf

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Evaluating Humorous Response Generation to Playful Shopping Requests.

Natalie Shapira, Oren Kalinsky, Alex Libov, Chen Shani, Sofia Tolmach

Proceedings of the Advances in Information Retrieval, 2023

2022

The Lean Data Scientist: Recent Advances towards Overcoming the Data Bottleneck.

Chen Shani, Jonathan Zarecki, Dafna Shahaf

CoRR, 2022

"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

Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022

2021

"Alexa, what do you do for fun?" Characterizing playful requests with virtual assistants.

Chen Shani, Alexander Libov, Sofia Tolmach, Liane Lewin-Eytan, Yoelle Maarek, Dafna Shahaf

CoRR, 2021

How Did This Get Funded?! Automatically Identifying Quirky Scientific Achievements.

Chen Shani, Nadav Borenstein, Dafna Shahaf

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Language (Re)modelling: Towards Embodied Language Understanding.

Ronen Tamari, Chen Shani, Tom Hope, Miriam R. L. Petruck, Omri Abend, Dafna Shahaf

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020