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Tao Li
Tao Li
Google DeepMind
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Title
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Cited by
Year
Beyond the imitation game: Quantifying and extrapolating the capabilities of language models
A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ...
arXiv preprint arXiv:2206.04615, 2022
11772022
On Measuring and Mitigating Biased Inferences of Word Embeddings
S Dev, T Li, J Philips, V Srikumar
AAAI 2020, 2019
1852019
Augmenting Neural Networks with First-order Logic
T Li, V Srikumar
Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019
1532019
UNQOVERing stereotyping biases via underspecified questions
T Li, T Khot, D Khashabi, A Sabharwal, V Srikumar
EMNLP findings 2020, 2020
1322020
A Logic-Driven Framework for Consistency of Neural Models
T Li, V Gupta, M Mehta, V Srikumar
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
892019
Nlize: A perturbation-driven visual interrogation tool for analyzing and interpreting natural language inference models
S Liu, Z Li, T Li, V Srikumar, V Pascucci, PT Bremer
IEEE transactions on visualization and computer graphics 25 (1), 651-660, 2018
642018
OSCaR: Orthogonal subspace correction and rectification of biases in word embeddings
S Dev, T Li, JM Phillips, V Srikumar
EMNLP 2021, 2020
582020
Structured Tuning for Semantic Role Labeling
T Li, Jawale, P Anand, M Palmer, V Srikumar
Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020
422020
PYLON: A PyTorch Framework for Learning with Constraints
K Ahmed, T Li, T Ton, Q Guo, KW Chang, P Kordjamshidi, V Srikumar, ...
NeurIPS Demo, 2021
342021
On Data Augmentation for Extreme Multi-label Classification
D Zhang, T Li, H Zhang, B Yin
https://arxiv.org/abs/2009.10778, 2020
342020
Visual interrogation of attention-based models for natural language inference and machine comprehension
S Liu, T Li, Z Li, V Srikumar, V Pascucci, PT Bremer
Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States), 2018
342018
Prediction of Obstructive Lung Disease from Chest Radiographs via Deep Learning Trained on Pulmonary Function Data
JD Schroeder, RB Lanfredi, T Li, J Chan, C Vachet, R Paine, V Srikumar, ...
International Journal of Chronic Obstructive Pulmonary Disease, 2020
302020
A Zero-Shot Language Agent for Computer Control with Structured Reflection
T Li, G Li, Z Deng, B Wang, Y Li
Findings of EMNLP 2023, 2023
122023
Exploiting Sentence Similarities for Better Alignments
T Li, V Srikumar
Proceedings of the 2016 Conference on Empirical Methods in Natural Language …, 2016
92016
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing
J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, H Peng, P Narayanan, ...
https://arxiv.org/abs/2406.16253, 2024
82024
Automatic entity state annotation using the VerbNet semantic parser
G Kazeminejad, M Palmer, T Li, V Srikumar
Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd …, 2021
82021
MUG: Interactive Multimodal Grounding on User Interfaces
T Li, G Li, J Zheng, P Wang, Y Li
https://arxiv.org/abs/2209.15099, 2022
72022
Automatic Macro Mining from Interaction Traces at Scale
F Huang, G Li, T Li, Y Li
Proceedings of the CHI Conference on Human Factors in Computing Systems, 1-16, 2024
42024
Devil’s Advocate: Anticipatory Reflection for LLM Agents
H Wang, T Li, Z Deng, D Roth, Y Li
https://arxiv.org/abs/2405.16334, 2024
12024
Influential Language Data Selection via Gradient Trajectory Pursuit
Z Deng, T Li, Y Li
https://arxiv.org/abs/2410.16710, 2024
2024
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Articles 1–20