Davis Liang

According to our database1, Davis Liang authored at least 18 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
The Belebele Benchmark: a Parallel Reading Comprehension Dataset in 122 Language Variants.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Co-training and Co-distillation for Quality Improvement and Compression of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Generating Hashtags for Short-form Videos with Guided Signals.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

A Study on Knowledge Distillation from Weak Teacher for Scaling Up Pre-trained Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Adaptable Claim Rewriting with Offline Reinforcement Learning for Effective Misinformation Discovery.
CoRR, 2022

2021
Attention-guided Generative Models for Extractive Question Answering.
CoRR, 2021

Multiplicative Position-aware Transformer Models for Language Understanding.
CoRR, 2021

2020
Decoding and Diversity in Machine Translation.
CoRR, 2020

Embedding-based Zero-shot Retrieval through Query Generation.
CoRR, 2020

TRANS-BLSTM: Transformer with Bidirectional LSTM for Language Understanding.
CoRR, 2020

Improve Transformer Models with Better Relative Position Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Masked Language Model Scoring.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Pseudolikelihood Reranking with Masked Language Models.
CoRR, 2019

2018
Learning Noise-Invariant Representations for Robust Speech Recognition.
Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

2017
Automated Multi-task Learning.
PhD thesis, 2017

Deep Automated Multi-task Learning.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017


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