Madian Khabsa
21 papers · 2019–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5)
πΊοΈ
Taxonomy Completionist
(56)
π£
Hot Topic Early Bird
π₯
Mega-Team
(21)
π§¬
Topic Evolution
ποΈ
Keyword Collector
(100)
β‘
Prolific Year
(8)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(21)
π₯
Unstoppable
(6)
β
The Questioner
Conferences
ACL (9)
NAACL (5)
EMNLP (4)
AAAI (2)
ICLR (1)
Top co-authors
Keywords
transfer learning
(5)
few-shot learning
(4)
language model
(4)
pre-trained language model
(3)
large language model
(3)
text classification
(2)
parameter-efficient tuning
(2)
adversarial training
(2)
multimodal transformer
(2)
masked language model
(2)
prompt tuning
(2)
task benchmarking
(1)
model selection
(1)
knowledge distillation
(1)
model robustness
(1)
knowledge extraction
(1)
zero-shot learning
(1)
model calibration
(1)
language model adaptation
(1)
adversarial robustness
(1)
Papers
Effective Long-Context Scaling of Foundation Models
NAACL 2024
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants
ACL 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
MUSTIE: Multimodal Structural Transformer for Web Information Extraction
ACL 2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
EMNLP 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
Generating Hashtags for Short-form Videos with Guided Signals
ACL 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction
ACL 2023
Logical Satisfiability of Counterfactuals for Faithful Explanations in NLI
AAAI 2023
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
NAACL 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
SMARTAVE: Structured Multimodal Transformer for Product Attribute Value Extraction
EMNLP 2022
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
On Unifying Misinformation Detection
NAACL 2021
To Pretrain or Not to Pretrain: Examining the Benefits of Pretrainng on Resource Rich Tasks
ACL 2020
Language Models as Fact Checkers?
ACL 2020
Adversarial Training for Community Question Answer Selection Based on Multi-Scale Matching
AAAI 2019
Keeping Notes: Conditional Natural Language Generation with a Scratchpad Encoder
ACL 2019