Scott Yih
14 papers · 2021–2023 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (41)
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(5)
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Cross-Pollinator
(9)
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Century Club
(14)
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Prolific Year
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Keyword Collector
(69)
Conferences
NAACL (6)
ACL (2)
EMNLP (2)
ICLR (2)
NIPS (2)
Top co-authors
Keywords
question answering
(4)
large language model
(2)
dense retrieval
(2)
representation learning
(2)
transfer learning
(2)
information retrieval
(2)
passage retrieval
(2)
contrastive learning
(1)
domain adaptation
(1)
transformer architecture
(1)
model selection
(1)
local attention
(1)
ensemble learning
(1)
embedding learning
(1)
model quantization
(1)
knowledge distillation
(1)
fact verification
(1)
few-shot learning
(1)
multilingual nlp
(1)
attention mechanism
(1)
Papers
Reimagining Retrieval Augmented Language Models for Answering Queries
ACL 2023
InCoder: A Generative Model for Code Infilling and Synthesis
ICLR 2023
Adapting Pretrained Text-to-Text Models for Long Text Sequences
EMNLP 2023
CCQA: A New Web-Scale Question Answering Dataset for Model Pre-Training
NAACL 2022
Autoregressive Search Engines: Generating Substrings as Document Identifiers
NIPS 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering
NAACL 2022
BiT: Robustly Binarized Multi-distilled Transformer
NIPS 2022
Simple Local Attentions Remain Competitive for Long-Context Tasks
NAACL 2022
Boosted Dense Retriever
NAACL 2022
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings
NAACL 2022
Domain-matched Pre-training Tasks for Dense Retrieval
NAACL 2022
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
ICLR 2021
FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation
EMNLP 2021