Robert L. Logan IV

According to our database1, Robert L. Logan IV authored at least 22 papers between 2017 and 2023.

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

Timeline

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Links

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Bibliography

2023
Evaluating the generalisability of neural rumour verification models.
Inf. Process. Manag., 2023

Multi-View Source Ablation for Faithful Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics.
CoRR, 2022

Impact of Pretraining Term Frequencies on Few-Shot Reasoning.
CoRR, 2022

FRUIT: Faithfully Reflecting Updated Information in Text.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Continued Pretraining for Better Zero- and Few-Shot Promptability.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Snoopy: An Online Interface for Exploring the Effect of Pretraining Term Frequencies on Few-Shot LM Performance.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Impact of Pretraining Term Frequencies on Few-Shot Numerical Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Cutting Down on Prompts and Parameters: Simple Few-Shot Learning with Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Zero- and Few-Shot NLP with Pretrained Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021
Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Active Bayesian Assessment of Black-Box Classifiers.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

COVIDLies: Detecting COVID-19 Misinformation on Social Media.
Proceedings of the 1st Workshop on NLP for COVID-19@ EMNLP 2020, Online, December 2020, 2020

On Importance Sampling-Based Evaluation of Latent Language Models.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Detecting conversation topics in primary care office visits from transcripts of patient-provider interactions.
J. Am. Medical Informatics Assoc., 2019

PoMo: Generating Entity-Specific Post-Modifiers in Context.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Knowledge Enhanced Contextual Word Representations.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Barack's Wife Hillary: Using Knowledge Graphs for Fact-Aware Language Modeling.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Multimodal Attribute Extraction.
Proceedings of the 6th Workshop on Automated Knowledge Base Construction, 2017


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