Carolin Lawrence
According to our database1,
Carolin Lawrence
authored at least 35 papers
between 2016 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Trans. Assoc. Comput. Linguistics, 2024
A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
CoRR, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Proceedings of the IEEE International Conference on Data Mining, 2022
KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022
2021
Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction.
CoRR, 2021
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks.
Proceedings of the 5th Workshop on Structured Prediction for NLP, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP.
CoRR, 2020
2019
PhD thesis, 2019
Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss.
Trans. Assoc. Comput. Linguistics, 2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
2018
CoRR, 2018
Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018
2017
CoRR, 2017
Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017
2016
Proceedings of the COLING 2016, 2016