Sotabase

Career

· Distinguished Scientist, Google2011–
· PhD Student, AI Lab, Computer Science Department, Stanford University2007–2013
· Research Visitor, Max Planck Institute for Biological Cybernetics2006–2007
· Research Intern, Microsoft Research2006–2006
· Bachelor of Software Engineering, Australian National University2004–2007
· Research Assistant, NICTA2004–2007

Publications (16)

LaMDA: Language Models for Dialog Applications
arXiv.org · 2022
1,808
cited
SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
International Conference on Machine Learning · 2025
433
cited
A Bayesian Perspective on Generalization and Stochastic Gradient Descent
International Conference on Learning Representations · 2017
280
cited
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries
arXiv.org · 2024
46
cited
CodeInsight: A Curated Dataset of Practical Coding Solutions from Stack Overflow
Annual Meeting of the Association for Computational Linguistics · 2024
5
cited
Bridge-Coder: Transferring Model Capabilities from High-Resource to Low-Resource Programming Language
Annual Meeting of the Association for Computational Linguistics · 2025
3
cited
ML-Bench: Evaluating Large Language Models for Code Generation in Repository-Level Machine Learning Tasks
2
cited
Evaluating Numeracy of Language Models as a Natural Language Inference Task
North American Chapter of the Association for Computational Linguistics · 2025
1
cited
C 2 RBench: A Chinese Complex Reasoning Benchmark for Large Language Models
Dissecting Inaccuracies in Large Language Models: An Analysis on Reasoning-Error Causes on Large Language Models
Do LLMs Understand Social Knowledge? Evaluating the Sociability of Large Language Models with the S OC KET Benchmark
LLMs meet Bloom’s Taxonomy: A Cognitive View on Large Language Model Evaluations
Prompt, Condition, and Generate Classification of Unsupported Claims with In-Context Learning
SCULPT: Systematic Tuning of Long Prompts
SQL-CRAFT: Advancing Text-to-SQL Capabilities through Interactive Refinement and Enhanced Reasoning
Structured Chain-of-Thought Prompting Enhances Code Generation with Large Language Models
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