Jeff Da
8 papers · 2019–2024 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (26) 🐣 Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Artificial Intelligence
(6)
Machine Learning
(6)
Core AI
(6)
Natural Language Processing
(5)
Learning Types
(5)
Deep Learning
(4)
Knowledge & Reasoning
(3)
Representation
(3)
Resources & Methods
(3)
Applications · Natural Language Processing
(2)
Architectures
(2)
Understanding
(2)
Computer Science
(1)
Applications · Computer Science
(1)
Core Methods
(1)
Keywords
knowledge graph
(3)
commonsense knowledge
(2)
representation learning
(2)
pre-trained language model
(2)
benchmark evaluation
(2)
multimodal learning
(2)
knowledge graph embedding
(2)
question answering
(2)
visual reasoning
(2)
graph matching
(1)
image captioning
(1)
transfer learning
(1)
token alignment
(1)
natural language understanding
(1)
few-shot learning
(1)
reinforcement learning from human feedback
(1)
contextual representation
(1)
knowledge base
(1)
mathematical reasoning
(1)
reward modeling
(1)
Papers
A Careful Examination of Large Language Model Performance on Grade School Arithmetic
NeurIPS 2024
Learning Goal-Conditioned Representations for Language Reward Models
NeurIPS 2024
Do Androids Laugh at Electric Sheep? Humor “Understanding” Benchmarks from The New Yorker Caption Contest
ACL 2023
(Comet-) Atomic 2020: On Symbolic and Neural Commonsense Knowledge Graphs
AAAI 2021
Discourse Understanding and Factual Consistency in Abstractive Summarization
EACL 2021
Edited Media Understanding Frames: Reasoning About the Intent and Implications of Visual Misinformation
ACL 2021
Cracking the Contextual Commonsense Code: Understanding Commonsense Reasoning Aptitude of Deep Contextual Representations
EMNLP 2019
Jeff Da at COIN - Shared Task: BIG MOOD: Relating Transformers to Explicit Commonsense Knowledge
EMNLP 2019