Xiang Li

According to our database, Xiang Li authored at least 20 papers between 2017 and 2024.

Collaborative distances:

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

2024

AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models.

Xiang Lisa Li, Evan Zheran Liu, Percy Liang, Tatsunori Hashimoto

CoRR, 2024

Few-Shot Recalibration of Language Models.

Xiang Lisa Li, Urvashi Khandelwal, Kelvin Guu

CoRR, 2024

Benchmarking and Improving Generator-Validator Consistency of Language Models.

Xiang Lisa Li, Vaishnavi Shrivastava, Siyan Li, Tatsunori Hashimoto, Percy Liang

Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Learnability of Watermarks for Language Models.

Chenchen Gu, Xiang Lisa Li, Percy Liang, Tatsunori Hashimoto

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Evaluating Human-Language Model Interaction.

Mina Lee, Megha Srivastava, Amelia Hardy, John Thickstun, Esin Durmus, Ashwin Paranjape, Ines Gerard-Ursin, Xiang Lisa Li, Faisal Ladhak, Frieda Rong, Rose E. Wang, Minae Kwon, Joon Sung Park, Hancheng Cao, Tony Lee, Rishi Bommasani, Michael S. Bernstein, Percy Liang

Trans. Mach. Learn. Res., 2023

Learning to Compress Prompts with Gist Tokens.

Jesse Mu, Xiang Li, Noah D. Goodman

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TempLM: Distilling Language Models into Template-Based Generators.

Tianyi Zhang, Mina Lee, Xiang Lisa Li, Ende Shen, Tatsunori Hashimoto

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Decoding: Open-ended Text Generation as Optimization.

Xiang Lisa Li, Ari Holtzman, Daniel Fried, Percy Liang, Jason Eisner, Tatsunori Hashimoto, Luke Zettlemoyer, Mike Lewis

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

Omar Khattab, Keshav Santhanam, Xiang Lisa Li, David Hall, Percy Liang, Christopher Potts, Matei Zaharia

CoRR, 2022

Diffusion-LM Improves Controllable Text Generation.

Xiang Lisa Li, John Thickstun, Ishaan Gulrajani, Percy Liang, Tatsunori B. Hashimoto

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Xiang Lisa Li, Percy Liang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Decoding Methods for Neural Narrative Generation.

Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li, João Sedoc

CoRR, 2020

Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract).

Xiang Lisa Li, Jason Eisner

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Posterior Control of Blackbox Generation.

Xiang Lisa Li, Alexander M. Rush

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

A Generative Model for Punctuation in Dependency Trees.

Xiang Lisa Li, Dingquan Wang, Jason Eisner

Trans. Assoc. Comput. Linguistics, 2019

Specializing Word Embeddings (for Parsing) by Information Bottleneck.

Xiang Lisa Li, Jason Eisner

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Deformable model reconstruction of the subarachnoid space.

Jeffrey Glaister, Muhan Shao, Xiang Li, Aaron Carass, Snehashis Roy, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen

Proceedings of the Medical Imaging 2018: Image Processing, 2018

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks.

Muhan Shao, Shuo Han, Aaron Carass, Xiang Li, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen

Proceedings of the Understanding and Interpreting Machine Learning in Medical Image Computing Applications, 2018

Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas.

Muhan Shao, Aaron Carass, Xiang Li, Blake E. Dewey, Ari M. Blitz, Jerry L. Prince, Lotta Maria Ellingsen

Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017

Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.

Aaron Carass, Muhan Shao, Xiang Li, Blake Dewey, Ari Blitz, Snehashis Roy, Dzung L. Pham, Jerry L. Prince, Lotta Maria Ellingsen

Proceedings of the Patch-Based Techniques in Medical Imaging, 2017