Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients. - Aaron Carass; Muhan Shao; Xiang Li 063; Blake Dewey; Ari Blitz; Snehashis Roy; Dzung L. Pham; Jerry L. Prince; Lotta Maria Ellingsen (Patch-MI@MICCAI, 2017)

Multi-atlas segmentation of the hydrocephalus brain using an adaptive ventricle atlas. - Muhan Shao; Aaron Carass; Xiang Li 063; Blake E. Dewey; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (Biomedical Applications in Molecular, Structural, and Functional Imaging, 2018)

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks. - Muhan Shao; Shuo Han 001; Aaron Carass; Xiang Li 063; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (MLCN/DLF/iMIMIC@MICCAI, 2018)

Deformable model reconstruction of the subarachnoid space. - Jeffrey Glaister; Muhan Shao; Xiang Li 063; Aaron Carass; Snehashis Roy; Ari M. Blitz; Jerry L. Prince; Lotta Maria Ellingsen (Image Processing, 2018)

Specializing Word Embeddings (for Parsing) by Information Bottleneck. - Xiang Lisa Li; Jason Eisner (EMNLP/IJCNLP (1), 2019)

A Generative Model for Punctuation in Dependency Trees. - Xiang Lisa Li; Dingquan Wang; Jason Eisner (Trans. Assoc. Comput. Linguistics, 2019)

Posterior Control of Blackbox Generation. - Xiang Lisa Li; Alexander M. Rush (ACL, 2020)

Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract). - Xiang Lisa Li; Jason Eisner (IJCAI, 2020)

Decoding Methods for Neural Narrative Generation. - Alexandra DeLucia; Aaron Mueller; Xiang Lisa Li; João Sedoc (CoRR, 2020)

Prefix-Tuning: Optimizing Continuous Prompts for Generation. - Xiang Lisa Li; Percy Liang (ACL/IJCNLP (1), 2021)

Diffusion-LM Improves Controllable Text Generation. - Xiang Lisa Li; John Thickstun; Ishaan Gulrajani; Percy Liang; Tatsunori B. Hashimoto (NeurIPS, 2022)

Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP. - Omar Khattab; Keshav Santhanam; Xiang Lisa Li; David Hall 006; Percy Liang; Christopher Potts; Matei Zaharia (CoRR, 2022)

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 (ACL (1), 2023)

TempLM: Distilling Language Models into Template-Based Generators. - Tianyi Zhang; Mina Lee 002; Xiang Lisa Li; Ende Shen; Tatsunori Hashimoto (ACL (Findings), 2023)

Learning to Compress Prompts with Gist Tokens. - Jesse Mu; Xiang Li 063; Noah D. Goodman (NeurIPS, 2023)

Evaluating Human-Language Model Interaction. - Mina Lee 002; 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; et al. (Trans. Mach. Learn. Res., 2023)

On the Learnability of Watermarks for Language Models. - Chenchen Gu; Xiang Lisa Li; Percy Liang; Tatsunori Hashimoto (ICLR, 2024)

Benchmarking and Improving Generator-Validator Consistency of Language Models. - Xiang Lisa Li; Vaishnavi Shrivastava; Siyan Li; Tatsunori Hashimoto; Percy Liang (ICLR, 2024)

Few-Shot Recalibration of Language Models. - Xiang Lisa Li; Urvashi Khandelwal; Kelvin Guu (CoRR, 2024)

AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models. - Xiang Lisa Li; Evan Zheran Liu; Percy Liang; Tatsunori Hashimoto (CoRR, 2024)

AutoBencher: Towards Declarative Benchmark Construction. - Xiang Lisa Li; Farzaan Kaiyom; Evan Zheran Liu; Yifan Mai 001; Percy Liang; Tatsunori Hashimoto (ICLR, 2025)

s1: Simple test-time scaling. - Niklas Muennighoff; Zitong Yang; Weijia Shi; Xiang Lisa Li; Li Fei-Fei 001; Hannaneh Hajishirzi; Luke Zettlemoyer; Percy Liang; Emmanuel J. Candès; Tatsunori Hashimoto (CoRR, 2025)

Eliciting Language Model Behaviors with Investigator Agents. - Xiang Lisa Li; Neil Chowdhury; Daniel D. Johnson 001; Tatsunori Hashimoto; Percy Liang; Sarah Schwettmann; Jacob Steinhardt (CoRR, 2025)

Auditing Prompt Caching in Language Model APIs. - Chenchen Gu; Xiang Lisa Li; Rohith Kuditipudi; Percy Liang; Tatsunori Hashimoto (CoRR, 2025)