Jason Phang
21 papers · 2018–2024 · 7 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (7) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge π Academic Marathon (6)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Academic Marathon
(6)
π€
Dynamic Duo
(12)
π±
Topic Pioneer
π₯
Unstoppable
(7)
π
Conference Pioneer
ποΈ
Keyword Collector
(122)
β‘
Prolific Year
(7)
π
Trend Setter
β
The Questioner
(4)
π
Century Club
(21)
Conferences
ACL (7)
EMNLP (5)
NAACL (3)
ICML (2)
IJCNLP (2)
AACL (1)
CONLL (1)
Top co-authors
Keywords
large language model
(4)
natural language understanding
(4)
benchmark evaluation
(3)
model evaluation
(3)
transformer architecture
(3)
question answering
(3)
natural language processing
(3)
multilingual language model
(2)
human evaluation
(2)
grammatical knowledge
(2)
language model
(2)
pretrained language model
(2)
language understanding
(2)
sentence representation
(2)
multiple choice
(2)
item response theory
(2)
reading comprehension
(2)
text summarization
(2)
dataset creation
(2)
dataset evaluation
(2)
Papers
Struc-Bench: Are Large Language Models Good at Generating Complex Structured Tabular Data?
NAACL 2024
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
ACL 2023
HyperTuning: Toward Adapting Large Language Models without Back-propagation
ICML 2023
Pretraining Language Models with Human Preferences
ICML 2023
Investigating Efficiently Extending Transformers for Long Input Summarization
EMNLP 2023
QuALITY: Question Answering with Long Input Texts, Yes!
NAACL 2022
What Language Model to Train if You Have One Million GPU Hours?
EMNLP 2022
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
EMNLP 2022
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
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
ACL 2022
Fine-Tuned Transformers Show Clusters of Similar Representations Across Layers
EMNLP 2021
Comparing Test Sets with Item Response Theory
ACL 2021
Comparing Test Sets with Item Response Theory
IJCNLP 2021
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
English Intermediate-Task Training Improves Zero-Shot Cross-Lingual Transfer Too
AACL 2020
Investigating BERTβs Knowledge of Language: Five Analysis Methods with NPIs
EMNLP 2019
Investigating BERTβs Knowledge of Language: Five Analysis Methods with NPIs
IJCNLP 2019
Unsupervised Sentence Compression using Denoising Auto-Encoders
CONLL 2018