Real Multi-Sense or Pseudo Multi-Sense: An Approach to Improve Word Representation. - Haoyue Shi 001; Caihua Li; Junfeng Hu (CL4LC@COLING 2016, 2016)

Joint Saliency Estimation and Matching using Image Regions for Geo-Localization of Online Video. - Haoyue Shi 001; Jia Chen 001; Alexander G. Hauptmann (ICMR, 2017)

Learning Visually-Grounded Semantics from Contrastive Adversarial Samples. - Haoyue Shi 001; Jiayuan Mao; Tete Xiao; Yuning Jiang 001; Jian Sun 001 (COLING, 2018)

On Tree-Based Neural Sentence Modeling. - Haoyue Shi 001; Hao Zhou 012; Jiaze Chen; Lei Li 005 (EMNLP, 2018)

Constructing High Quality Sense-specific Corpus and Word Embedding via Unsupervised Elimination of Pseudo Multi-sense. - Haoyue Shi 001; Xihao Wang; Yuqi Sun; Junfeng Hu (LREC, 2018)

Implicit Subjective and Sentimental Usages in Multi-sense Word Embeddings. - Yuqi Sun; Haoyue Shi 001; Junfeng Hu (WASSA@EMNLP, 2018)

Understanding and Improving Multi-Sense Word Embeddings via Extended Robust Principal Component Analysis. - Haoyue Shi 001; Yuqi Sun; Junfeng Hu (CoRR, 2018)

Visually Grounded Neural Syntax Acquisition. - Haoyue Shi 001; Jiayuan Mao; Kevin Gimpel; Karen Livescu (ACL (1), 2019)

On the Role of Supervision in Unsupervised Constituency Parsing. - Haoyue Shi 001; Karen Livescu; Kevin Gimpel (EMNLP (1), 2020)

A Cross-Task Analysis of Text Span Representations. - Shubham Toshniwal; Haoyue Shi 001; Bowen Shi; Lingyu Gao; Karen Livescu; Kevin Gimpel (RepL4NLP@ACL, 2020)

Clustering Contextualized Representations of Text for Unsupervised Syntax Induction. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (CoRR, 2020)

Substructure Substitution: Structured Data Augmentation for NLP. - Haoyue Shi 001; Karen Livescu; Kevin Gimpel (ACL/IJCNLP (Findings), 2021)

Bilingual Lexicon Induction via Unsupervised Bitext Construction and Word Alignment. - Haoyue Shi 001; Luke Zettlemoyer; Sida I. Wang (ACL/IJCNLP (1), 2021)

Grammar-Based Grounded Lexicon Learning. - Jiayuan Mao; Freda Shi; Jiajun Wu 001; Roger Levy; Josh Tenenbaum 001 (NeurIPS, 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; et al. (CoRR, 2021)

Deep Clustering of Text Representations for Supervision-Free Probing of Syntax. - Vikram Gupta; Haoyue Shi 001; Kevin Gimpel; Mrinmaya Sachan (AAAI, 2022)

Substructure Distribution Projection for Zero-Shot Cross-Lingual Dependency Parsing. - Freda Shi; Kevin Gimpel; Karen Livescu (ACL (1), 2022)

Natural Language to Code Translation with Execution. - Freda Shi; Daniel Fried; Marjan Ghazvininejad; Luke Zettlemoyer; Sida I. Wang (EMNLP, 2022)

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 001; Karen Livescu; et al. (ASRU, 2023)

InCoder: A Generative Model for Code Infilling and Synthesis. - Daniel Fried; Armen Aghajanyan; Jessy Lin; Sida Wang 001; Eric Wallace; Freda Shi; Ruiqi Zhong; Scott Yih; Luke Zettlemoyer; Mike Lewis (ICLR, 2023)

Language models are multilingual chain-of-thought reasoners. - Freda Shi; Mirac Suzgun; Markus Freitag; Xuezhi Wang 002; Suraj Srivats; Soroush Vosoughi; Hyung Won Chung; Yi Tay; Sebastian Ruder; Denny Zhou; Dipanjan Das 001; Jason Wei (ICLR, 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 (ICML, 2023)

Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models. - Yue Zhang 004; Yafu Li; Leyang Cui; Deng Cai 002; Lemao Liu; Tingchen Fu; Xinting Huang; Enbo Zhao; Yu Zhang 092; Yulong Chen 001; Longyue Wang; Anh Tuan Luu; et al. (CoRR, 2023)

LogogramNLP: Comparing Visual and Textual Representations of Ancient Logographic Writing Systems for NLP. - Danlu Chen; Freda Shi; Aditi Agarwal; Jacobo Myerston; Taylor Berg-Kirkpatrick (ACL (1), 2024)

Structured Tree Alignment for Evaluation of (Speech) Constituency Parsing. - Freda Shi; Kevin Gimpel; Karen Livescu (ACL (1), 2024)

Gated Slot Attention for Efficient Linear-Time Sequence Modeling. - Yu Zhang 092; Songlin Yang; Rui-Jie Zhu 003; Yue Zhang 004; Leyang Cui; Yiqiao Wang 005; Bolun Wang; Freda Shi; Bailin Wang; Wei Bi; Peng Zhou 017; Guohong Fu (NeurIPS, 2024)

Learning Language Structures Through Grounding. - Freda Shi (AAAI, 2025)

SpaRE: Enhancing Spatial Reasoning in Vision-Language Models with Synthetic Data. - Michael Ogezi; Freda Shi (ACL (1), 2025)

Blessing of Multilinguality: A Systematic Analysis of Multilingual In-Context Learning. - Yilei Tu; Andrew Xue; Freda Shi (ACL (Findings), 2025)

Logical forms complement probability in understanding language model (and human) performance. - Yixuan Wang; Freda Shi (ACL (1), 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 001 (ICLR, 2025)

DriveSOTIF: Advancing Perception SOTIF Through Multimodal Large Language Models. - Shucheng Huang; Freda Shi; Chen Sun 008; Jiaming Zhong; Minghao Ning; Yufeng Yang; Yukun Lu; Hong Wang 014; Amir Khajepour (CoRR, 2025)

Distribution Prompting: Understanding the Expressivity of Language Models Through the Next-Token Distributions They Can Produce. - Haojin Wang; Zining Zhu 005; Freda Shi (CoRR, 2025)