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2020 – today
- 2023
[b1]Leonard Adolphs:
Interactive Language-Based Agents. ETH Zurich, Zürich, Switzerland, 2023- [c7]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. ACL (1) 2023: 8854-8874 - 2022
- [j1]Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher, Sascha Rothe, Pier Giuseppe Sessa, Lierni Sestorain:
Boosting Search Engines with Interactive Agents. Trans. Mach. Learn. Res. 2022 (2022) - [c6]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. ACL (Findings) 2022: 1682-1693 - [c5]Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston:
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. EMNLP (Findings) 2022: 373-393 - [c4]Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. EMNLP (Findings) 2022: 7112-7132 - [c3]Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann:
Decoding a Neural Retriever's Latent Space for Query Suggestion. EMNLP 2022: 8786-8804 - [i10]Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan:
Calibration of Machine Reading Systems at Scale. CoRR abs/2203.10623 (2022) - [i9]Kurt Shuster, Mojtaba Komeili, Leonard Adolphs, Stephen Roller, Arthur Szlam, Jason Weston:
Language Models that Seek for Knowledge: Modular Search & Generation for Dialogue and Prompt Completion. CoRR abs/2203.13224 (2022) - [i8]Leonard Adolphs, Michelle Chen Huebscher, Christian Buck, Sertan Girgin, Olivier Bachem, Massimiliano Ciaramita, Thomas Hofmann:
Decoding a Neural Retriever's Latent Space for Query Suggestion. CoRR abs/2210.12084 (2022) - [i7]Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston:
The CRINGE Loss: Learning what language not to model. CoRR abs/2211.05826 (2022) - 2021
- [i6]Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann:
How to Query Language Models? CoRR abs/2108.01928 (2021) - [i5]Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher:
Boosting Search Engines with Interactive Agents. CoRR abs/2109.00527 (2021) - [i4]Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston:
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. CoRR abs/2111.05204 (2021) - 2020
- [c2]Leonard Adolphs, Thomas Hofmann:
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games. AAAI 2020: 7342-7349
2010 – 2019
- 2019
- [c1]Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann:
Local Saddle Point Optimization: A Curvature Exploitation Approach. AISTATS 2019: 486-495 - [i3]Leonard Adolphs, Jonas Kohler, Aurélien Lucchi:
Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training. CoRR abs/1905.09201 (2019) - [i2]Leonard Adolphs, Thomas Hofmann:
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games. CoRR abs/1909.01646 (2019) - 2018
- [i1]Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann:
Local Saddle Point Optimization: A Curvature Exploitation Approach. CoRR abs/1805.05751 (2018)
Coauthor Index
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