John Wieting

According to our database1, John Wieting authored at least 37 papers between 2013 and 2023.

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

Timeline

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Bibliography

2023
Leveraging LLMs for Synthesizing Training Data Across Many Languages in Multilingual Dense Retrieval.
CoRR, 2023

FIAT: Fusing learning paradigms with Instruction-Accelerated Tuning.
CoRR, 2023

A Gold Standard Dataset for the Reviewer Assignment Problem.
CoRR, 2023

Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Evaluating and Modeling Attribution for Cross-Lingual Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Augmenting Pre-trained Language Models with QA-Memory for Open-Domain Question Answering.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Beyond Contrastive Learning: A Variational Generative Model for Multilingual Retrieval.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

QA Is the New KR: Question-Answer Pairs as Knowledge Bases.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Canine: Pre-training an Efficient Tokenization-Free Encoder for Language Representation.
Trans. Assoc. Comput. Linguistics, 2022

Paraphrastic Representations at Scale.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploring Document-Level Literary Machine Translation with Parallel Paragraphs from World Literature.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

RankGen: Improving Text Generation with Large Ranking Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Faithful to the Document or to the World? Mitigating Hallucinations via Entity-Linked Knowledge in Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

On The Ingredients of an Effective Zero-shot Semantic Parser.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Improving the Diversity of Unsupervised Paraphrasing with Embedding Outputs.
CoRR, 2021

On Learning Text Style Transfer with Direct Rewards.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020
Improving Candidate Generation for Low-resource Cross-lingual Entity Linking.
Trans. Assoc. Comput. Linguistics, 2020

A Bilingual Generative Transformer for Semantic Sentence Embedding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Reformulating Unsupervised Style Transfer as Paraphrase Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
No Training Required: Exploring Random Encoders for Sentence Classification.
Proceedings of the 7th International Conference on Learning Representations, 2019

Simple and Effective Paraphrastic Similarity from Parallel Translations.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Beyond BLEU: Training Neural Machine Translation with Semantic Similarity.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Quality Signals in Generated Stories.
Proceedings of the Seventh Joint Conference on Lexical and Computational Semantics, 2018

Adversarial Example Generation with Syntactically Controlled Paraphrase Networks.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018


ParaNMT-50M: Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Pushing the Limits of Paraphrastic Sentence Embeddings with Millions of Machine Translations.
CoRR, 2017

Learning Paraphrastic Sentence Embeddings from Back-Translated Bitext.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Revisiting Recurrent Networks for Paraphrastic Sentence Embeddings.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016
Towards Universal Paraphrastic Sentence Embeddings.
Proceedings of the 4th International Conference on Learning Representations, 2016

UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement.
Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Charagram: Embedding Words and Sentences via Character n-grams.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015
From Paraphrase Database to Compositional Paraphrase Model and Back.
Trans. Assoc. Comput. Linguistics, 2015

Clustering With Side Information: From a Probabilistic Model to a Deterministic Algorithm.
CoRR, 2015

2014
Tiered Clustering to Improve Lexical Entailment.
CoRR, 2014

2013
Illinois Cognitive Computation Group UI-CCG TAC 2013 Entity Linking and Slot Filler Validation Systems.
Proceedings of the Sixth Text Analysis Conference, 2013


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