Freda Shi

Affiliations:
  • University of Waterloo, School of Computer Science, ON, Canada
  • Toyota Technological Institute, Chicago, IL, USA (PhD 2023)
  • Peking University, School of Electronic Engineering and Computer Science, Beijing, China (until 2018)


According to our database1, Freda Shi authored at least 22 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models.
CoRR, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.
Proceedings of the International Conference on Machine Learning, 2023

Language models are multilingual chain-of-thought reasoners.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Audio-Visual Neural Syntax Acquisition.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022
Natural Language to Code Translation with Execution.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Grammar-Based Grounded Lexicon Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Substructure Substitution: Structured Data Augmentation for NLP.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Clustering Contextualized Representations of Text for Unsupervised Syntax Induction.
CoRR, 2020

A Cross-Task Analysis of Text Span Representations.
Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On the Role of Supervision in Unsupervised Constituency Parsing.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Visually Grounded Neural Syntax Acquisition.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis.
CoRR, 2018

Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings.
Proceedings of the 9th Workshop on Computational Approaches to Subjectivity, 2018

Constructing High Quality Sense-specific Corpus and Word Embedding via Unsupervised Elimination of Pseudo Multi-sense.
Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

On Tree-Based Neural Sentence Modeling.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
Joint Saliency Estimation and Matching using Image Regions for Geo-Localization of Online Video.
Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval, 2017

2016
Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation.
Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016


  Loading...