Lucas Bandarkar

According to our database, Lucas Bandarkar authored at least 6 papers between 2021 and 2025.

Collaborative distances:

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

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

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