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Leonard Adolphs
Leonard Adolphs
ETH Zürich
ethz.ch의 이메일 확인됨 - 홈페이지
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Local Saddle Point Optimization: A Curvature Exploitation Approach
L Adolphs, H Daneshmand, A Lucchi, T Hofmann
AISTATS 2019: International Conference on Artificial Intelligence and Statistics, 2018
1352018
Language models that seek for knowledge: Modular search & generation for dialogue and prompt completion
K Shuster, M Komeili, L Adolphs, S Roller, A Szlam, J Weston
EMNLP Findings 2022, 2022
1242022
LeDeepChef: Deep Reinforcement Learning Agent for Families of Text-Based Games
L Adolphs, T Hofmann
AAAI 2020: Conference on Artificial Intelligence, 2019
602019
Reason first, then respond: Modular generation for knowledge-infused dialogue
L Adolphs, K Shuster, J Urbanek, A Szlam, J Weston
EMNLP Findings 2022, 2021
442021
The CRINGE Loss: Learning what language not to model
L Adolphs, T Gao, J Xu, K Shuster, S Sukhbaatar, J Weston
ACL 2023, 2022
332022
Boosting search engines with interactive agents
L Adolphs, B Boerschinger, C Buck, MC Huebscher, M Ciaramita, ...
TMLR 06/2022, 2021
272021
Ellipsoidal Trust Region Methods for Neural Network Training
L Adolphs, J Kohler, A Lucchi
NeurIPS 2019 Workshop: Beyond First-Order Optimization Methods in Machine …, 2019
20*2019
How to query language models?
L Adolphs, S Dhuliawala, T Hofmann
arXiv preprint arXiv:2108.01928, 2021
192021
Decoding a Neural Retriever's Latent Space for Query Suggestion
L Adolphs, MC Huebscher, C Buck, S Girgin, O Bachem, M Ciaramita, ...
EMNLP 2022, 2022
102022
Calibration of machine reading systems at scale
S Dhuliawala, L Adolphs, R Das, M Sachan
ACL Findings 2022, 2022
102022
Non convex-concave saddle point optimization
L Adolphs
ETH Zurich, 2018
72018
Interactive Language-Based Agents
L Adolphs
ETH Zurich, 2023
2023
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