Freda Shi

According to our database, Freda Shi authored at least 33 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce.

Haojin Wang, Zining Zhu, Freda Shi

CoRR, May, 2025

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models.

Shucheng Huang, Freda Shi, Chen Sun, Jiaming Zhong, Minghao Ning, Yufeng Yang, Yukun Lu, Hong Wang, Amir Khajepour

CoRR, May, 2025

Do Vision-Language Models Represent Space and How? Evaluating Spatial Frame of Reference under Ambiguities.

Zheyuan Zhang, Fengyuan Hu, Jayjun Lee, Freda Shi, Parisa Kordjamshidi, Joyce Chai, Ziqiao Ma

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Logical forms complement probability in understanding language model (and human) performance.

Yixuan Wang, Freda Shi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning.

Yilei Tu, Andrew Xue, Freda Shi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic Data.

Michael Ogezi, Freda Shi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Learning Language Structures Through Grounding.

Freda Shi

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Gated Slot Attention for Efficient Linear-Time Sequence Modeling.

Yu Zhang, Songlin Yang, Rui-Jie Zhu, Yue Zhang, Leyang Cui, Yiqiao Wang, Bolun Wang, Freda Shi, Bailin Wang, Wei Bi, Peng Zhou, Guohong Fu

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing.

Freda Shi, Kevin Gimpel, Karen Livescu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP.

Danlu Chen, Freda Shi, Aditi Agarwal, Jacobo Myerston, Taylor Berg-Kirkpatrick

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

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

Yue Zhang, Yafu Li, Leyang Cui, Deng Cai, Lemao Liu, Tingchen Fu, Xinting Huang, Enbo Zhao, Yu Zhang, Yulong Chen, Longyue Wang, Anh Tuan Luu, Wei Bi, Freda Shi, Shuming Shi

CoRR, 2023

Large Language Models Can Be Easily Distracted by Irrelevant Context.

Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou

Proceedings of the International Conference on Machine Learning, 2023

Language models are multilingual chain-of-thought reasoners.

Freda Shi, Mirac Suzgun, Markus Freitag, Xuezhi Wang, Suraj Srivats, Soroush Vosoughi, Hyung Won Chung, Yi Tay, Sebastian Ruder, Denny Zhou, Dipanjan Das, Jason Wei

Proceedings of the Eleventh International Conference on Learning Representations, 2023

InCoder: A Generative Model for Code Infilling and Synthesis.

Daniel Fried, Armen Aghajanyan, Jessy Lin, Sida Wang, Eric Wallace, Freda Shi, Ruiqi Zhong, Scott Yih, Luke Zettlemoyer, Mike Lewis

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Audio-Visual Neural Syntax Acquisition.

Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Natural Language to Code Translation with Execution.

Freda Shi, Daniel Fried, Marjan Ghazvininejad, Luke Zettlemoyer, Sida I. Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing.

Freda Shi, Kevin Gimpel, Karen Livescu

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.

Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation.

Kaustubh D. Dhole, Varun Gangal, Sebastian Gehrmann, Aadesh Gupta, Zhenhao Li, Saad Mahamood, Abinaya Mahendiran, Simon Mille, Ashish Srivastava, Samson Tan, Tongshuang Wu, Jascha Sohl-Dickstein, Jinho D. Choi, Eduard H. Hovy, Ondrej Dusek, Sebastian Ruder, Sajant Anand, Nagender Aneja, Rabin Banjade, Lisa Barthe, Hanna Behnke, Ian Berlot-Attwell, Connor Boyle, Caroline Brun, Marco Antonio Sobrevilla Cabezudo, Samuel Cahyawijaya, Emile Chapuis, Wanxiang Che, Mukund Choudhary, Christian Clauss, Pierre Colombo, Filip Cornell, Gautier Dagan, Mayukh Das, Tanay Dixit, Thomas Dopierre, Paul-Alexis Dray, Suchitra Dubey, Tatiana Ekeinhor, Marco Di Giovanni, Tanya Goyal, Rishabh Gupta, Louanes Hamla, Sang Han, Fabrice Harel-Canada, Antoine Honore, Ishan Jindal, Przemyslaw K. Joniak, Denis Kleyko, Venelin Kovatchev, Kalpesh Krishna, Ashutosh Kumar, Stefan Langer, Seungjae Ryan Lee, Corey James Levinson, Hualou Liang, Kaizhao Liang, Zhexiong Liu, Andrey Lukyanenko, Vukosi Marivate, Gerard de Melo, Simon Meoni, Maxime Meyer, Afnan Mir, Nafise Sadat Moosavi, Niklas Muennighoff, Timothy Sum Hon Mun, Kenton Murray, Marcin Namysl, Maria Obedkova, Priti Oli, Nivranshu Pasricha, Jan Pfister, Richard Plant, Vinay Prabhu, Vasile Pais, Libo Qin, Shahab Raji, Pawan Kumar Rajpoot, Vikas Raunak, Roy Rinberg, Nicholas Roberts, Juan Diego Rodriguez, Claude Roux, Paulo Henrique Santos Vasconcellos, Ananya B. Sai, Robin M. Schmidt, Thomas Scialom, Tshephisho Sefara, Saqib Shamsi, Xudong Shen, Yiwen Shi, Haoyue Shi, Anna Shvets, Nick Siegel, Damien Sileo, Jamie Simon, Chandan Singh, Roman Sitelew, Priyank Soni, Taylor Sorensen, William Soto Martinez, Aman Srivastava, KV Aditya Srivatsa, Tony Sun, Mukund Varma T., A. Tabassum, Fiona Anting Tan, Ryan Teehan, Mo Tiwari, Marie Tolkiehn, Athena Wang, Zijian Wang, Zijie J. Wang, Gloria Wang, Fuxuan Wei, Bryan Wilie, Genta Indra Winata, Xinyi Wu, Witold Wydmanski, Tianbao Xie, Usama Yaseen, Michael A. Yee, Jing Zhang, Yue Zhang

CoRR, 2021

Grammar-Based Grounded Lexicon Learning.

Jiayuan Mao, Freda Shi, Jiajun Wu, Roger Levy, Josh Tenenbaum

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.

Haoyue Shi, Luke Zettlemoyer, Sida I. Wang

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.

Haoyue Shi, Karen Livescu, Kevin Gimpel

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction.

Vikram Gupta, Haoyue Shi, Kevin Gimpel, Mrinmaya Sachan

CoRR, 2020

A Cross-Task Analysis of Text Span Representations.

Shubham Toshniwal, Haoyue Shi, Bowen Shi, Lingyu Gao, Karen Livescu, Kevin Gimpel

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

On the Role of Supervision in Unsupervised Constituency Parsing.

Haoyue Shi, Karen Livescu, Kevin Gimpel

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Visually Grounded Neural Syntax Acquisition.

Haoyue Shi, Jiayuan Mao, Kevin Gimpel, Karen Livescu

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.

Haoyue Shi, Yuqi Sun, Junfeng Hu

CoRR, 2018

Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings.

Yuqi Sun, Haoyue Shi, Junfeng Hu

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.

Haoyue Shi, Xihao Wang, Yuqi Sun, Junfeng Hu

Proceedings of the Eleventh International Conference on Language Resources and Evaluation, 2018

On Tree-Based Neural Sentence Modeling.

Haoyue Shi, Hao Zhou, Jiaze Chen, Lei Li

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.

Haoyue Shi, Jiayuan Mao, Tete Xiao, Yuning Jiang, Jian Sun

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.

Haoyue Shi, Jia Chen, Alexander G. Hauptmann

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.

Haoyue Shi, Caihua Li, Junfeng Hu

Proceedings of the Workshop on Computational Linguistics for Linguistic Complexity, 2016