← Authors

Denny Zhou

48 papers · 2019–2024 · 10 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🐣 Hot Topic Early Bird πŸ—ΊοΈ Taxonomy Completionist (57) 🧭 Keyword Pioneer πŸƒ Academic Marathon (5) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (7) πŸŒ‰ Interdisciplinary Bridge 🏠 Conference Loyalist (21) πŸ“› The Namer 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (67) πŸ”₯ Unstoppable (6) πŸ’Ž Century Club (48) ⚑ Prolific Year (14) ❓ The Questioner πŸ—ƒοΈ Keyword Collector (111)

Conferences

ICLR (21) ICML (9) NIPS (5) ACL (4) EMNLP (3) JMLR (2) CVPR (1) EACL (1) ECCV (1) NAACL (1)

Top co-authors

Xinyun Chen (17) Jason Wei (14) Xuezhi Wang (14) Yi Tay (9) Hyung Won Chung (7) Quoc V Le (7) Ed H. Chi (7) Dale Schuurmans (7) Le Hou (6) Nathanael SchΓ€rli (5)

Keywords

large language model (9) model compression (6) few-shot learning (4) language model (3) knowledge distillation (3) prompt engineering (3) transfer learning (3) emergent ability (2) benchmark evaluation (2) multi-step reasoning (2) self-supervised learning (2) contrastive learning (2) representation learning (2) neural network (2) question answering (2) instruction tuning (2) chain-of-thought prompting (2) chain-of-thought reasoning (2) in-context learning (1) natural language inference (1)

Papers

Chain-of-Thought Reasoning Without Prompting NIPS 2024
Large Language Models as Tool Makers ICLR 2024
Large Language Models as Analogical Reasoners ICLR 2024
Chain of Thought Empowers Transformers to Solve Inherently Serial Problems ICLR 2024
SELF-DISCOVER: Large Language Models Self-Compose Reasoning Structures NIPS 2024
Premise Order Matters in Reasoning with Large Language Models ICML 2024
Large Language Models as Optimizers ICLR 2024
A Pretrainer’s Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity NAACL 2024
FreshLLMs: Refreshing Large Language Models with Search Engine Augmentation ACL 2024
Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models ICLR 2024
Large Language Models Cannot Self-Correct Reasoning Yet ICLR 2024
Mixture-of-Experts Meets Instruction Tuning: A Winning Combination for Large Language Models ICLR 2024
Teaching Large Language Models to Self-Debug ICLR 2024
Scaling Instruction-Finetuned Language Models JMLR 2024
Self-Consistency Improves Chain of Thought Reasoning in Language Models ICLR 2023
Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them ACL 2023
Symbol tuning improves in-context learning in language models EMNLP 2023
Transcending Scaling Laws with 0.1% Extra Compute EMNLP 2023
UL2: Unifying Language Learning Paradigms ICLR 2023
Language models are multilingual chain-of-thought reasoners ICLR 2023
Recitation-Augmented Language Models ICLR 2023
Mind's Eye: Grounded Language Model Reasoning through Simulation ICLR 2023
Compositional Semantic Parsing with Large Language Models ICLR 2023
Least-to-Most Prompting Enables Complex Reasoning in Large Language Models ICLR 2023
​​What learning algorithm is in-context learning? Investigations with linear models ICLR 2023
TEMPERA: Test-Time Prompt Editing via Reinforcement Learning ICLR 2023
The Flan Collection: Designing Data and Methods for Effective Instruction Tuning ICML 2023
Not All Semantics are Created Equal: Contrastive Self-supervised Learning with Automatic Temperature Individualization ICML 2023
Large Language Models Can Be Easily Distracted by Irrelevant Context ICML 2023
PaLM: Scaling Language Modeling with Pathways JMLR 2023
Provable Stochastic Optimization for Global Contrastive Learning: Small Batch Does Not Harm Performance ICML 2022
Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropagation NIPS 2022
Token Dropping for Efficient BERT Pretraining ACL 2022
Auto-scaling Vision Transformers without Training ICLR 2022
A Simple Single-Scale Vision Transformer for Object Detection and Instance Segmentation ECCV 2022
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection CVPR 2022
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models NIPS 2022
Extremely Small BERT Models from Mixed-Vocabulary Training EACL 2021
LEGO: Latent Execution-Guided Reasoning for Multi-Hop Question Answering on Knowledge Graphs ICML 2021
SpreadsheetCoder: Formula Prediction from Semi-structured Context ICML 2021
Fast WordPiece Tokenization EMNLP 2021
Black-box Off-policy Estimation for Infinite-Horizon Reinforcement Learning ICLR 2020
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection ICML 2020
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks ICML 2020
Compositional Generalization via Neural-Symbolic Stack Machines NIPS 2020
MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices ACL 2020
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension ICLR 2020
Neural Logic Machines ICLR 2019