Currently a Research Engineer at Google DeepMind. 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.

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)

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

Crowd Projects

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing  Permalink

Beyond the Imitation Game: Quantifying and Extrapolating the Capabilities of Language Models  Permalink

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.