Andrew Gambardella

20 papers A* 1A 1Journal 13Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Safe Transformer: An Explicit Safety Bit For Interpretable And Controllable Alignment. CoRR Jingyuan Feng, Andrew Gambardella, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2026	—	`conf`	Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models. EACL (Volume 2: Short Papers) Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2026	J	`jnl`	Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models. CoRR Qi Cao, Andrew Gambardella, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa
2025	—	`conf`	Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. ACL (Findings) Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2025	—	`conf`	Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data. IJCNLP-AACL (long papers) Yohei Kobashi, Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2025	—	`conf`	Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar. ACL (2) Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2025	J	`jnl`	Inconsistent Tokenizations Cause Language Models to be Perplexed by Japanese Grammar. CoRR Andrew Gambardella, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning. CoRR Shota Takashiro, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2024	—	`conf`	Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. ACL (Short Papers) Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks. CoRR Andrew Gambardella, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Real-World Robot Applications of Foundation Models: A Review. CoRR Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
2024	J	`jnl`	Real-world robot applications of foundation models: a review. Adv. Robotics Kento Kawaharazuka, Tatsuya Matsushima, Andrew Gambardella, Jiaxian Guo, Chris Paxton, Andy Zeng
2024	A*	`conf`	Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? EMNLP Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2024	J	`jnl`	Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance? CoRR Fumiya Uchiyama, Takeshi Kojima, Andrew Gambardella, Qi Cao, Yusuke Iwasawa, Yutaka Matsuo
2022	J	`jnl`	Audio Mosaicing with Simulation-based Inference. CoRR Andrew Gambardella, Youngjun Choi, Doyo Choi, Jinjoon Lee
2021	J	`jnl`	Detecting and Quantifying Malicious Activity with Simulation-based Inference. CoRR Andrew Gambardella, Bogdan State, Naeemullah Khan, Leo Tsourides, Philip H. S. Torr, Atilim Günes Baydin
2020	A	`conf`	Multitask Soft Option Learning. UAI Maximilian Igl, Andrew Gambardella, Jinke He, Nantas Nardelli, N. Siddharth, Wendelin Boehmer, Shimon Whiteson
2020	J	`jnl`	Simulation-Based Inference for Global Health Decisions. CoRR 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
2019	J	`jnl`	Multitask Soft Option Learning. CoRR Maximilian Igl, Andrew Gambardella, Nantas Nardelli, N. Siddharth, Wendelin Böhmer, Shimon Whiteson
2019	J	`jnl`	Transflow Learning: Repurposing Flow Models Without Retraining. CoRR Andrew Gambardella, Atilim Günes Baydin, Philip H. S. Torr