◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Timo Schick

FAIR

18 papers hereh-index 2517.2k citations34 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author10
  • middle author7

Across the 18 of 18 papers where every author was matched, so the position is known.

fields
  • cs.CL18
affiliations
  • FAIR
Homepage
same name
  • Timo Schick — 5 papers
  • Timo Schick — 1 paper, h 3

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172023
most citedEditEval: An Instruction-Based Benchmark for Text Improvements

8 citations · 11 across the 5 of their papers we have counts for

collaborators
Showing 2023Show all

4 papers · 1 filter

cs.CL2023

Evaluation of Faithfulness Using the Longest Supported Subsequence

Anirudh Mittal, Timo Schick, Mikel Artetxe +1

As increasingly sophisticated language models emerge, their trustworthiness becomes a pivotal issue, especially in tasks such as summarization and question-answering. Ensuring thei…

cs.CL2023

Self-Alignment with Instruction Backtranslation

Xian Li, Ping Yu, Chunting Zhou +5

We present a scalable method to build a high quality instruction following language model by automatically labelling human-written text with corresponding instructions. Our approac…

cs.CL2023

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

Katerina Margatina, Timo Schick, Nikolaos Aletras +1

The remarkable advancements in large language models (LLMs) have significantly enhanced the performance in few-shot learning settings. By using only a small number of labeled examp…

cs.CL2023

LongForm: Effective Instruction Tuning with Reverse Instructions

Abdullatif Köksal, Timo Schick, Anna Korhonen +1

Instruction tuning enables language models to more effectively generalize and better follow user intent. However, obtaining instruction data is costly and challenging. Prior work e…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.