Xiang Li

Affiliations:
  • Johns Hopkins University, Department of Electrical and Computer Engineering, Baltimore, MD, USA


According to our database1, Xiang Li authored at least 20 papers between 2017 and 2024.

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

2024
AutoBencher: Creating Salient, Novel, Difficult Datasets for Language Models.
CoRR, 2024

Few-Shot Recalibration of Language Models.
CoRR, 2024

Benchmarking and Improving Generator-Validator Consistency of Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

On the Learnability of Watermarks for Language Models.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Evaluating Human-Language Model Interaction.
Trans. Mach. Learn. Res., 2023

Learning to Compress Prompts with Gist Tokens.
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.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Contrastive Decoding: Open-ended Text Generation as Optimization.
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.
CoRR, 2022

Diffusion-LM Improves Controllable Text Generation.
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.
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.
CoRR, 2020

Specializing Word Embeddings (for Parsing) by Information Bottleneck (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Posterior Control of Blackbox Generation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
A Generative Model for Punctuation in Dependency Trees.
Trans. Assoc. Comput. Linguistics, 2019

Specializing Word Embeddings (for Parsing) by Information Bottleneck.
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.
Proceedings of the Medical Imaging 2018: Image Processing, 2018

Shortcomings of Ventricle Segmentation Using Deep Convolutional Networks.
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.
Proceedings of the Medical Imaging 2018: Biomedical Applications in Molecular, 2018

2017
Whole Brain Parcellation with Pathology: Validation on Ventriculomegaly Patients.
Proceedings of the Patch-Based Techniques in Medical Imaging, 2017


  Loading...