Julian Eisenschlos
19 papers · 2019–2024 · 6 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (46) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Topic Evolution
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Prolific Year · Productive
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Unstoppable · Bronze
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The Questioner
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Century Club · Bronze
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Research topics
Artificial Intelligence
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Machine Learning
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Natural Language Processing
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Applications · Natural Language Processing
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Core AI
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Learning Types · Machine Learning
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Deep Learning
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Resources & Methods
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Core Methods
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Learning Paradigms
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Computer Vision
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Generation
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Learning Types · Deep Learning
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Keywords
large language model
(4)
table question answering
(3)
question answering
(3)
multimodal learning
(3)
zero-shot learning
(2)
transfer learning
(2)
in-context learning
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table entailment
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table parsing
(2)
intermediate pretraining
(2)
language model
(2)
uncertainty quantification
(2)
data augmentation
(2)
multilingual nlp
(1)
natural language inference
(1)
binary classification
(1)
mathematical reasoning
(1)
visual question answering
(1)
few-shot learning
(1)
semantic parsing
(1)
Papers
Faithful Chart Summarization with ChaTS-Pi
ACL 2024
Selectively Answering Visual Questions
ACL 2024
DePlot: One-shot visual language reasoning by plot-to-table translation
ACL 2023
MatCha: Enhancing Visual Language Pretraining with Math Reasoning and Chart Derendering
ACL 2023
Selectively Answering Ambiguous Questions
EMNLP 2023
Universal Self-Adaptive Prompting
EMNLP 2023
Do ever larger octopi still amplify reporting biases? Evidence from judgments of typical colour
AACL 2022
Leveraging Data Recasting to Enhance Tabular Reasoning
EMNLP 2022
MiQA: A Benchmark for Inference on Metaphorical Questions
AACL 2022
Table-To-Text generation and pre-training with TabT5
EMNLP 2022
DoT: An efficient Double Transformer for NLP tasks with tables
ACL 2021
Fool Me Twice: Entailment from Wikipedia Gamification
NAACL 2021
MATE: Multi-view Attention for Table Transformer Efficiency
EMNLP 2021
Open Domain Question Answering over Tables via Dense Retrieval
NAACL 2021
TAPAS at SemEval-2021 Task 9: Reasoning over tables with intermediate pre-training
SemEval 2021
SoftSort: A Continuous Relaxation for the argsort Operator
ICML 2020
TaPas: Weakly Supervised Table Parsing via Pre-training
ACL 2020
Understanding tables with intermediate pre-training
EMNLP 2020
MultiFiT: Efficient Multi-lingual Language Model Fine-tuning
EMNLP 2019