Andrew Gambardella

According to our database, Andrew Gambardella authored at least 14 papers between 2019 and 2026.

Collaborative distances:

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

2026

Safe Transformer: An Explicit Safety Bit For Interpretable And Controllable Alignment.

Jingyuan Feng, Andrew Gambardella, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

CoRR, March, 2026

Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models.

Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

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

2025

Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data.

Yohei Kobashi, Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning.

Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar.

Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2025

2024

Real-world robot applications of foundation models: a review.

Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng

Adv. Robotics, September, 2024

Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?

Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks.

Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2024

2022

Audio Mosaicing with Simulation-based Inference.

Andrew Gambardella, Youngjun Choi, Doyo Choi, Jinjoon Lee

CoRR, 2022

2021

Detecting and Quantifying Malicious Activity with Simulation-based Inference.

Andrew Gambardella, Bogdan State, Naeemullah Khan, Leo Tsourides, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2021

2020

Simulation-Based Inference for Global Health Decisions.

Christian Schröder de Witt, Bradley Gram-Hansen, Nantas Nardelli, Andrew Gambardella, Robert Zinkov, Puneet K. Dokania, N. Siddharth, Ana Belen Espinosa-Gonzalez, Ara Darzi, Philip H. S. Torr, Atilim Günes Baydin

CoRR, 2020

Multitask Soft Option Learning.

Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson

Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

2019

Transflow Learning: Repurposing Flow Models Without Retraining.

Andrew Gambardella, Atilim Günes Baydin, Philip H. S. Torr

CoRR, 2019

Multitask Soft Option Learning.

Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson

CoRR, 2019