We stand with Ukraine

We stand with Ukraine

Hao Cheng

Affiliations:

Microsoft Research
University of Washington, Seattle, WA, USA (PhD)
University of Alberta, Canada (former)

According to our database¹, Hao Cheng authored at least 48 papers between 2013 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

Online presence:

on sites.google.com
on github.com

On csauthors.net:

Bibliography

2024

Encode Once and Decode in Parallel: Efficient Transformer Decoding.

[BibT_eX]

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CoRR, 2024

Language Models as Inductive Reasoners.

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Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Fine-tuning large neural language models for biomedical natural language processing.

[BibT_eX]

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Tristan Naumann

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Patterns, April, 2023

OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking.

[BibT_eX]

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CoRR, 2023

DIALGEN: Collaborative Human-LM Generated Dialogues for Improved Understanding of Human-Human Conversations.

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CoRR, 2023

Augmenting Language Models with Long-Term Memory.

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CoRR, 2023

Self-Verification Improves Few-Shot Clinical Information Extraction.

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Tristan Naumann

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CoRR, 2023

Chain-of-Skills: A Configurable Model for Open-domain Question Answering.

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CoRR, 2023

Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models.

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CoRR, 2023

Pre-training Transformers for Knowledge Graph Completion.

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CoRR, 2023

Check Your Facts and Try Again: Improving Large Language Models with External Knowledge and Automated Feedback.

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CoRR, 2023

Visually-Augmented Language Modeling.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning.

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Proceedings of the Eleventh International Conference on Learning Representations, 2023

Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding.

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

Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering.

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Domain-Specific Language Model Pretraining for Biomedical Natural Language Processing.

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Tristan Naumann

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ACM Trans. Comput. Heal., 2022

INSCIT: Information-Seeking Conversations with Mixed-Initiative Interactions.

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Prithviraj Ammanabrolu

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Hannaneh Hajishirzi

CoRR, 2022

A Survey of Knowledge-Intensive NLP with Pre-Trained Language Models.

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CoRR, 2022

Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention.

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Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Unsupervised Learning of Hierarchical Conversation Structure.

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Knowledge-Rich Self-Supervision for Biomedical Entity Linking.

[BibT_eX]

[DOI]

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Shikhar Vashishth

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Tristan Naumann

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Open Domain Question Answering with A Unified Knowledge Interface.

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Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Knowledge-Rich Self-Supervised Entity Linking.

[BibT_eX]

[DOI]

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Shikhar Vashishth

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Tristan Naumann

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CoRR, 2021

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding.

[BibT_eX]

[DOI]

Subhabrata Mukherjee

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Saghar Hosseini

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Christopher Meek

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Ahmed Hassan Awadallah

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CoRR, 2021

Open Domain Question Answering over Virtual Documents: A Unified Approach for Data and Text.

[BibT_eX]

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CoRR, 2021

Few-Shot Learning Evaluation in Natural Language Understanding.

[BibT_eX]

[DOI]

Subhabrata Mukherjee

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Saghar Hosseini

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Christopher Meek

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Ahmed Hassan Awadallah

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Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Targeted Adversarial Training for Natural Language Understanding.

[BibT_eX]

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Ichiro Kobayashi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Posterior Differential Regularization with f-divergence for Improving Model Robustness.

[BibT_eX]

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Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Domain-Specific Pretraining for Vertical Search: Case Study on Biomedical Literature.

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Tristan Naumann

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Paul N. Bennett

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Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Dialogue State Tracking with a Language Model using Schema-Driven Prompting.

[BibT_eX]

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

UnitedQA: A Hybrid Approach for Open Domain Question Answering.

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

2020

Adversarial Training for Large Neural Language Models.

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CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

[BibT_eX]

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Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding.

[BibT_eX]

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

2019

A Dynamic Speaker Model for Conversational Interactions.

[BibT_eX]

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Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Improving Span-based Question Answering Systems with Coarsely Labeled Data.

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Ankur P. Parikh

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Michael Collins

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Kristina Toutanova

CoRR, 2018

Sounding Board: A User-Centric and Content-Driven Social Chatbot.

[BibT_eX]

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Elizabeth Clark

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Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics, 2018

2017

A Factored Neural Network Model for Characterizing Online Discussions in Vector Space.

[BibT_eX]

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Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Learning Latent Local Conversation Modes for Predicting Community Endorsement in Online Discussions.

[BibT_eX]

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CoRR, 2016

Bi-directional Attention with Agreement for Dependency Parsing.

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Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Scalable and Sound Low-Rank Tensor Learning.

[BibT_eX]

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Dale Schuurmans

Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

Learning Latent Local Conversation Modes for Predicting Comment Endorsement in Online Discussions.

[BibT_eX]

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Proceedings of The Fourth International Workshop on Natural Language Processing for Social Media, 2016

2015

Open-Domain Name Error Detection using a Multi-Task RNN.

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Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

Language Models for Image Captioning: The Quirks and What Works.

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Margaret Mitchell

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2013

Convex Relaxations of Bregman Divergence Clustering.

[BibT_eX]

[DOI]

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Dale Schuurmans

Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Convex Two-Layer Modeling.

[BibT_eX]

[DOI]

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Dale Schuurmans

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

Characterizing the Representer Theorem.

[BibT_eX]

[DOI]

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Dale Schuurmans

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Csaba Szepesvári

Proceedings of the 30th International Conference on Machine Learning, 2013

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