Sharan Narang
18 papers · 2016–2025 · 6 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Mega-Team Β· Legion
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(78)
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Conference Pioneer
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Unstoppable Β· Bronze
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The Questioner
(2)
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(5)
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Research topics
Artificial Intelligence
(11)
Deep Learning
(10)
Natural Language Processing
(10)
Core AI
(9)
Resources & Methods
(7)
Machine Learning
(5)
Architectures
(5)
Optimization & Theory Β· Machine Learning
(4)
Generation
(3)
Learning Types
(3)
Optimization & Theory Β· Deep Learning
(3)
Techniques
(3)
Computer Science
(2)
Application Areas
(2)
Applications
(2)
Keywords
large language model
(6)
language model
(4)
scaling law
(3)
few-shot learning
(2)
model scaling
(2)
transformer architecture
(2)
transfer learning
(2)
neural network
(2)
knowledge distillation
(1)
model architecture
(1)
attention mechanism
(1)
task-oriented dialogue
(1)
distributed computing
(1)
multilingual pretraining
(1)
response generation
(1)
batch processing
(1)
chain-of-thought reasoning
(1)
diffusion model
(1)
generative model
(1)
speech recognition
(1)
Papers
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
ACL 2025
Law of the Weakest Link: Cross Capabilities of Large Language Models
ICLR 2025
Effective Long-Context Scaling of Foundation Models
NAACL 2024
Scaling Instruction-Finetuned Language Models
JMLR 2024
Character-Aware Models Improve Visual Text Rendering
ACL 2023
PaLM: Scaling Language Modeling with Pathways
JMLR 2023
Scaling Laws vs Model Architectures: How does Inductive Bias Influence Scaling?
EMNLP 2023
Scaling Up Models and Data with t5x and seqio
JMLR 2023
Self-Consistency Improves Chain of Thought Reasoning in Language Models
ICLR 2023
Understanding HTML with Large Language Models
EMNLP 2023
UniMax: Fairer and More Effective Language Sampling for Large-Scale Multilingual Pretraining
ICLR 2023
Scale Efficiently: Insights from Pretraining and Finetuning Transformers
ICLR 2022
Do Transformer Modifications Transfer Across Implementations and Applications?
EMNLP 2021
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
JMLR 2020
On Task-Level Dialogue Composition of Generative Transformer Model
EMNLP 2020
Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning
ICLR 2018
Mixed Precision Training
ICLR 2018
Deep Speech 2 : End-to-End Speech Recognition in English and Mandarin
ICML 2016