Leonard Adolphs

According to our database, Leonard Adolphs authored at least 12 papers between 2019 and 2023.

Collaborative distances:

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

2023

Interactive Language-Based Agents.

Leonard Adolphs

PhD thesis, 2023

The CRINGE Loss: Learning what language not to model.

Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Boosting Search Engines with Interactive Agents.

Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain

Trans. Mach. Learn. Res., 2022

Decoding a Neural Retriever's Latent Space for Query Suggestion.

Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Reason first, then respond: Modular Generation for Knowledge-infused Dialogue.

Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion.

Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Calibration of Machine Reading Systems at Scale.

Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Boosting Search Engines with Interactive Agents.

Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher

CoRR, 2021

How to Query Language Models?

Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann

CoRR, 2021

2020

LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games.

Leonard Adolphs, Thomas Hofmann

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training.

Leonard Adolphs, Jonas Kohler, Aurélien Lucchi

CoRR, 2019

Local Saddle Point Optimization: A Curvature Exploitation Approach.

Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019