Lucas Bandarkar

According to our database, Lucas Bandarkar authored at least 13 papers between 2021 and 2026.

Collaborative distances:

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

2026

Extracting Small Translation Specialists from LLMs by Aggressively Pruning Experts.

Liu O. Martin, Lucas Bandarkar, Nanyun Peng

CoRR, May, 2026

Knowledge Localization in Mixture-of-Experts LLMs Using Cross-Lingual Inconsistency.

Lucas Bandarkar, Alan Ansell, Trevor Cohn

CoRR, March, 2026

Large Reasoning Models Struggle to Transfer Parametric Knowledge Across Scripts.

Lucas Bandarkar, Alan Ansell, Trevor Cohn

CoRR, March, 2026

Translation as a Scalable Proxy for Multilingual Evaluation.

Sheriff Issaka, Erick Rosas Gonzalez, Lieqi Liu, Evans Kofi Agyei, Lucas Bandarkar, Nanyun Peng, David Ifeoluwa Adelani, Francisco Guzmán, Saadia Gabriel

CoRR, January, 2026

2025

Multilingual Routing in Mixture-of-Experts.

Lucas Bandarkar, Chenyuan Yang, Mohsen Fayyaz, Junlin Hu, Nanyun (Violet) Peng

CoRR, October, 2025

IndiaWeatherBench: A Dataset and Benchmark for Data-Driven Regional Weather Forecasting over India.

Tung Nguyen, Harkanwar Singh, Nilay Naharas, Lucas Bandarkar, Aditya Grover

CoRR, September, 2025

The Unreasonable Effectiveness of Model Merging for Cross-Lingual Transfer in LLMs.

Lucas Bandarkar, Nanyun Peng

CoRR, May, 2025

FIG: Forward-Inverse Generation for Low-Resource Domain-specific Event Detection.

Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar, Artin Kim, I-Hung Hsu, Kai-Wei Chang, Nanyun Peng

CoRR, February, 2025

Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models.

Lucas Bandarkar, Benjamin Muller, Pritish Yuvraj, Rui Hou, Nayan Singhal, Hongjiang Lv, Bing Liu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SNaRe: Domain-aware Data Generation for Low-Resource Event Detection.

Tanmay Parekh, Yuxuan Dong, Lucas Bandarkar, Artin Kim, I-Hung Hsu, Kai-Wei Chang, Nanyun Peng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.

Lucas Bandarkar, Davis Liang, Benjamin Muller, Mikel Artetxe, Satya Narayan Shukla, Donald Husa, Naman Goyal, Abhinandan Krishnan, Luke Zettlemoyer, Madian Khabsa

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2021

News Headline Grouping as a Challenging NLU Task.

Philippe Laban, Lucas Bandarkar, Marti A. Hearst

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Can Transformer Models Measure Coherence In Text: Re-Thinking the Shuffle Test.

Philippe Laban, Luke Dai, Lucas Bandarkar, Marti A. Hearst

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