Leonard Adolphs

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 18

Top Topics

Gaussian Process Latent Variable Models

Query Suggestion

Top Venues

EMNLP (Findings)

Publications

Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston
The CRINGE Loss: Learning what language not to model. ACL (1) (2023)
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)
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 (2022)
Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. EMNLP (Findings) (2022)
Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
Calibration of Machine Reading Systems at Scale. CoRR (2022)
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)
Leonard Adolphs, Tianyu Gao, Jing Xu, Kurt Shuster, Sainbayar Sukhbaatar, Jason Weston
The CRINGE Loss: Learning what language not to model. CoRR (2022)
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 (2022)
Shehzaad Dhuliawala, Leonard Adolphs, Rajarshi Das, Mrinmaya Sachan
Calibration of Machine Reading Systems at Scale. ACL (Findings) (2022)
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)
Leonard Adolphs, Benjamin Börschinger, Christian Buck, Michelle Chen Huebscher, Massimiliano Ciaramita, Lasse Espeholt, Thomas Hofmann, Yannic Kilcher
Boosting Search Engines with Interactive Agents. CoRR (2021)
Leonard Adolphs, Kurt Shuster, Jack Urbanek, Arthur Szlam, Jason Weston
Reason first, then respond: Modular Generation for Knowledge-infused Dialogue. CoRR (2021)
Leonard Adolphs, Shehzaad Dhuliawala, Thomas Hofmann
How to Query Language Models? CoRR (2021)
Leonard Adolphs, Thomas Hofmann
LeDeepChef Deep Reinforcement Learning Agent for Families of Text-Based Games. AAAI (2020)
Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
Local Saddle Point Optimization: A Curvature Exploitation Approach. AISTATS (2019)
Leonard Adolphs, Jonas Köhler, Aurélien Lucchi
Ellipsoidal Trust Region Methods and the Marginal Value of Hessian Information for Neural Network Training. CoRR (2019)
Leonard Adolphs, Thomas Hofmann
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games. CoRR (2019)
Leonard Adolphs, Hadi Daneshmand, Aurélien Lucchi, Thomas Hofmann
Local Saddle Point Optimization: A Curvature Exploitation Approach. CoRR (2018)