Search Results - "Schick, Timo" :: K.UTB vyhledávací portál | TBU Library Retrieval Portal

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP

by Schick, Timo, Udupa, Sahana, Schütze, Hinrich
Published in Transactions of the Association for Computational Linguistics (17.12.2021)

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Journal Article

True Few-Shot Learning with Prompts—A Real-World Perspective

True Few-Shot Learning with Prompts—A Real-World Perspective

by Schick, Timo, Schütze, Hinrich
Published in Transactions of the Association for Computational Linguistics (17.06.2022)

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Journal Article

Improving Wikipedia verifiability with AI

Improving Wikipedia verifiability with AI

by Petroni, Fabio, Broscheit, Samuel, Piktus, Aleksandra, Lewis, Patrick, Izacard, Gautier, Hosseini, Lucas, Dwivedi-Yu, Jane, Lomeli, Maria, Schick, Timo, Bevilacqua, Michele, Mazaré, Pierre-Emmanuel, Joulin, Armand, Grave, Edouard, Riedel, Sebastian
Published in Nature machine intelligence (01.10.2023)

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Journal Article

True Few-Shot Learning with Prompts -- A Real-World Perspective

True Few-Shot Learning with Prompts -- A Real-World Perspective

by Schick, Timo, Schütze, Hinrich
Year of Publication 26.11.2021

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Journal Article

Generating Datasets with Pretrained Language Models

Generating Datasets with Pretrained Language Models

by Schick, Timo, Schütze, Hinrich
Year of Publication 15.04.2021

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Journal Article

FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations

FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations

by Dwivedi-Yu, Jane, Dwivedi, Raaz, Schick, Timo
Year of Publication 09.04.2024

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Journal Article

Few-Shot Text Generation with Pattern-Exploiting Training

Few-Shot Text Generation with Pattern-Exploiting Training

by Schick, Timo, Schütze, Hinrich
Year of Publication 22.12.2020

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Journal Article

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners

by Schick, Timo, Schütze, Hinrich
Year of Publication 15.09.2020

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Journal Article

Transition-Based Generation from Abstract Meaning Representations

Transition-Based Generation from Abstract Meaning Representations

by Schick, Timo
Year of Publication 24.07.2017

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Journal Article

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference

by Schick, Timo, Schütze, Hinrich
Year of Publication 21.01.2020

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Journal Article

BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance

BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance

by Schick, Timo, Schütze, Hinrich
Year of Publication 16.10.2019

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Journal Article

MEAL: Stable and Active Learning for Few-Shot Prompting

MEAL: Stable and Active Learning for Few-Shot Prompting

by Köksal, Abdullatif, Schick, Timo, Schütze, Hinrich
Year of Publication 15.11.2022

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Journal Article

Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking

Rare Words: A Major Problem for Contextualized Embeddings And How to Fix it by Attentive Mimicking

by Schick, Timo, Schütze, Hinrich
Year of Publication 14.04.2019

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Journal Article

Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts

Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts

by Schick, Timo, Schütze, Hinrich
Year of Publication 02.04.2019

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Journal Article

CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment

CoDA21: Evaluating Language Understanding Capabilities of NLP Models With Context-Definition Alignment

by Senel, Lütfi Kerem, Schick, Timo, Schütze, Hinrich
Year of Publication 11.03.2022

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Journal Article

Semantic-Oriented Unlabeled Priming for Large-Scale Language Models

Semantic-Oriented Unlabeled Priming for Large-Scale Language Models

by Liu, Yanchen, Schick, Timo, Schütze, Hinrich
Year of Publication 12.02.2022

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Journal Article

Learning Semantic Representations for Novel Words: Leveraging Both Form and Context

Learning Semantic Representations for Novel Words: Leveraging Both Form and Context

by Schick, Timo, Schütze, Hinrich
Year of Publication 09.11.2018

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Journal Article

Evaluation of Faithfulness Using the Longest Supported Subsequence

Evaluation of Faithfulness Using the Longest Supported Subsequence

by Mittal, Anirudh, Schick, Timo, Artetxe, Mikel, Dwivedi-Yu, Jane
Year of Publication 23.08.2023

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Journal Article

Active Learning Principles for In-Context Learning with Large Language Models

Active Learning Principles for In-Context Learning with Large Language Models

by Margatina, Katerina, Schick, Timo, Aletras, Nikolaos, Dwivedi-Yu, Jane
Year of Publication 23.05.2023

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Journal Article

LongForm: Effective Instruction Tuning with Reverse Instructions

LongForm: Effective Instruction Tuning with Reverse Instructions

by Köksal, Abdullatif, Schick, Timo, Korhonen, Anna, Schütze, Hinrich
Year of Publication 17.04.2023

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Journal Article