Jason Phang
19 papers · 2018–2024 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (46) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π€
Dynamic Duo
(10)
β‘
Prolific Year Β· Productive
π₯
Unstoppable Β· Bronze
β
The Questioner
(4)
π
Century Club Β· Bronze
π
Conference Pioneer
ποΈ
Keyword Collector
(111)
Top co-authors
Research topics
Machine Learning
(15)
Natural Language Processing
(15)
Learning Types Β· Machine Learning
(13)
Deep Learning
(11)
Artificial Intelligence
(10)
Generation
(8)
Core AI
(7)
Resources & Methods
(6)
Applications
(5)
Learning Types Β· Deep Learning
(5)
Models
(5)
Architectures
(4)
Application Areas
(3)
Learning Paradigms
(3)
Optimization & Theory
(2)
Keywords
large language model
(4)
benchmark evaluation
(3)
transformer architecture
(3)
question answering
(3)
natural language processing
(3)
natural language understanding
(3)
model evaluation
(2)
text summarization
(2)
dataset creation
(2)
human evaluation
(2)
multilingual language model
(2)
language model
(2)
reading comprehension
(2)
multiple choice
(2)
prompt engineering
(1)
imitation learning
(1)
natural language generation
(1)
multi-task learning
(1)
representation learning
(1)
explanation generation
(1)
Papers
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
NAACL 2024
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Investigating Efficiently Extending Transformers for Long Input Summarization
EMNLP 2023
Pretraining Language Models with Human Preferences
ICML 2023
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
ACL 2023
Adversarially Constructed Evaluation Sets Are More Challenging, but May Not Be Fair
NAACL 2022
BBQ: A hand-built bias benchmark for question answering
ACL 2022
GPT-NeoX-20B: An Open-Source Autoregressive Language Model
ACL 2022
QuALITY: Question Answering with Long Input Texts, Yes!
NAACL 2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
ACL 2022
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
EMNLP 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
Comparing Test Sets with Item Response Theory
ACL 2021
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
EMNLP 2021
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
AACL 2020
Intermediate-Task Transfer Learning with Pretrained Language Models: When and Why Does It Work?
ACL 2020
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
ACL 2020
Investigating BERTβs Knowledge of Language: Five Analysis Methods with NPIs
EMNLP 2019
Unsupervised Sentence Compression using Denoising Auto-Encoders
CoNLL 2018