Tao Li

Tao Li
Tao Li
Google DeepMind
Email
Google Scholar
I am a Research Engineer at
Google DeepMind
. My recent focus is on
Gemini Multimodal Generation
and
Gemini Thinking
. Before joining Google, I have enjoyed internships at
AI2 Aristo
Amazon A9
, and
Philips Research
. I obtained my
PhD in Computing
from the
Kahlert School of Computing, University of Utah
where I was
very
fortunate to have my advisor
Prof. Vivek Srikumar
What’s New
Check out our recently launched
Nano Banana🍌
Selected Papers
Agent & Planning
Devil’s Advocate: Anticipatory Reflection for LLM Agents
Permalink
Haoyu Wang,
Tao Li
, Zhiwei Deng, Dan Roth, Yang Li.
EMNLP Findings 2024
A Zero-Shot Language Agent for Computer Control with Structured Reflection
Permalink
Tao Li
, Gang Li, Zhiwei Deng, Bryan Wang, Yang Li.
EMNLP Findings 2023 (oral at NILLI)
MUG: Interactive Multimodal Grounding on User Interfaces
Permalink
Tao Li
, Gang Li, Jingjie Zheng, Purple Wang, Yang Li.
EACL Findings 2024
Learning with Logical Constraints
Learning Semantic Role Labeling from Compatible Label Sequences
Permalink
Tao Li
, Ghazaleh Kazeminejad, Susan W. Brown, Martha Palmer, Vivek Srikumar.
EMNLP Findings 2023
Structured Tuning for Semantic Role Labeling
Permalink
Tao Li
, Parth Anand Jawale, Martha Palmer and Vivek Srikumar.
ACL 2020
A Logic-Driven Framework for Consistency of Neural Models
Permalink
Tao Li
, Vivek Gupta, Maitrey Mehta and Vivek Srikumar.
EMNLP 2019
Augmenting Neural Networks with First-order Logic
Permalink
Tao Li
and Vivek Srikumar.
ACL 2019 (oral)
Debiasing & Evaluation
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
Permalink
Zhichao Xu, Ashim Gupta,
Tao Li
, Oliver Bentham, Vivek Srikumar.
EMNLP Findings 2024
OSCaR: Orthogonal Subspace Correction and Rectification of Biases in Word Embeddings
Permalink
Sunipa Dev,
Tao Li
, Jeff M Phillips, Vivek Srikumar.
EMNLP 2021
UnQovering Stereotyping Biases via Underspecified Questions
Permalink
Tao Li
, Tushar Khot, Daniel Khashabi, Ashish Sabharwal and Vivek Srikumar.
EMNLP Findings 2020
On Measuring and Mitigating Biased Inferences of Word Embeddings
Permalink
Sunipa Dev,
Tao Li
, Jeff Philips and Vivek Srikumar.
AAAI 2020 (oral)
Crowd Projects
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Permalink
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
Permalink
Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models
Permalink
Experience
May 2022 - Present
Research Engineer,
Google DeepMind
Jan 2022 - May 2024
Research Engineer,
Google Research
Jan 2020 - May 2020
Research Intern,
AllenAI Aristo
May 2019 - Aug 2019
Applied Scientist Intern,
Amazon A9
May 2018 - Aug.2018
Research Intern,
Philips Research
Talks
A Zero-Shot Language Agent for Computer Control with Structured Reflection
December 08, 2023
Talk at NILLI@EMNLP 2023, Singapore
End-to-end Neural Learning with Rules
May 21, 2021
Talk at ML Seminar, UCLA
Structured Tuning for Semantic Role Lableing
October 14, 2020
Talk at the Computational Semantics group, CU Boulder
Augmenting Neural Networks with First-order Logic
July 29, 2019
Talk at Session: Machine Learning, ACL 2019, Florence, Italy
Exploiting Sentence Similarities for Better Alignments
November 04, 2016
Talk at Session: Semantic Similarity, EMNLP 2016, Austin, Texas
Services
Area Chair for ACL Rolling Review.