Timo Schick
- Papers
- 11
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Authored papers
11LongForm: Effective Instruction Tuning with Reverse Instructions
arXiv 2023
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
TMLR
Atlas: Few-shot Learning with Retrieval Augmented Language Models
arXiv 2022
Improving Wikipedia Verifiability with AI
arXiv 2022
Unnatural Instructions: Tuning Language Models with (Almost) No Human Labor
arXiv 2022
Task-aware Retrieval with Instructions
arXiv 2022
EditEval: An Instruction-Based Benchmark for Text Improvements
arXiv 2022
Self-Diagnosis and Self-Debiasing: A Proposal for Reducing Corpus-Based Bias in NLP
arXiv 2021
It's Not Just Size That Matters: Small Language Models Are Also Few-Shot Learners
NAACL 2021 4
BERTRAM: Improved Word Embeddings Have Big Impact on Contextualized Model Performance
bertram-improved-word-embeddings-have-big-1
Attentive Mimicking: Better Word Embeddings by Attending to Informative Contexts
attentive-mimicking-better-word-embeddings-by-1
Affiliations
Frequent co-authors
10from 11 papers
Hinrich Schütze
Gautier Izacard
Patrick Lewis
Sebastian Riedel
Edouard Grave
Fabio Petroni
Jane Dwivedi-Yu
Maria Lomeli
Armand Joulin
Hannaneh Hajishirzi
professor