Aakanksha Chowdhery
10 papers · 2021–2024 · 6 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (27) 👥 Mega-Team · Legion
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Research topics
Artificial Intelligence
(7)
Natural Language Processing
(7)
Machine Learning
(6)
Core AI
(6)
Deep Learning
(5)
Resources & Methods
(5)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Computer Science
(2)
Application Areas
(2)
Applications
(2)
Generation
(2)
Optimization & Theory
(2)
Knowledge & Reasoning
(1)
Keywords
large language model
(6)
few-shot learning
(3)
emergent ability
(2)
language model
(2)
multi-step reasoning
(2)
model scaling
(2)
chain-of-thought reasoning
(2)
distributed computing
(1)
expert selection
(1)
scaling law
(1)
mixture of expert
(1)
instruction fine-tuning
(1)
sparse attention
(1)
chain-of-thought prompting
(1)
reasoning evaluation
(1)
data pipeline
(1)
commonsense reasoning
(1)
emergent abilities
(1)
few-shot prompting
(1)
continued training
(1)
Papers
Scaling Instruction-Finetuned Language Models
JMLR 2024
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them
ACL 2023
PaLM-E: An Embodied Multimodal Language Model
ICML 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Scaling Up Models and Data with t5x and seqio
JMLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Transcending Scaling Laws with 0.1% Extra Compute
EMNLP 2023
Understanding HTML with Large Language Models
EMNLP 2023
DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning
NeurIPS 2021
Sparse is Enough in Scaling Transformers
NeurIPS 2021