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Carolin Lawrence

Large Language Models Enable Few-Shot Clustering
2024 · Vijay Viswanathan, Kiril Gashteovski, et al. · Transactions of the Association for Computational Linguistics · 74
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Attending to Future Tokens for Bidirectional Sequence Generation
2019 · Carolin Lawrence, Bhushan Kotnis, et al. · 41
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Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback
2018 · Carolin Lawrence, Stefan Riezler · Annual Meeting of the Association for Computational Linguistics (ACL) · 39
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Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
2021 · Kotnis, Bhushan, Lawrence, Carolin, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 29
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Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation
2017 · Carolin Lawrence, Artem Sokolov, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 26
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NLmaps: A Natural Language Interface to Query OpenStreetMap.
2016 · Carolin Lawrence, Stefan Riezler · International Conference on Computational Linguistics · 17
BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation
2022 · Kiril Gashteovski, Mingying Yu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 14
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AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark
2022 · Niklas Friedrich, Kiril Gashteovski, et al. · Annual Meeting of the Association for Computational Linguistics: System Demonstrations (ACL Demo) · 11
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MILIE: Modular & Iterative Multilingual Open Information Extraction
2022 · Bhushan Kotnis, Kiril Gashteovski, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 11
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BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens.
2021 · Kiril Gashteovski, Mingying Yu, et al. · arXiv (Cornell University) · 10
Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks
2021 · Julia Kreutzer, Stefan Riezler, et al. · 10
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Explaining Neural Matrix Factorization with Gradient Rollback
2021 · Lawrence, Carolin, Sztyler, Timo, et al. · AAAI Publications (The Association for the Advancement of Artificial Intelligence (AAAI)) · 8
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Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs
2020 · Wang, Cheng, Lawrence, Carolin, et al. · arXiv (Cornell University) · 7
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Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss
2019 · Laura Jehl, Carolin Lawrence, et al. · Transactions of the Association for Computational Linguistics · 7
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Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing
2018 · Lawrence, Carolin, Riezler, Stefan · arXiv (Cornell University) · 7
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Counterfactual Learning for Machine Translation: Degeneracies and Solutions
2017 · Lawrence, Carolin, Gajane, Pratik, et al. · arXiv (Cornell University) · 6
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MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis
2025 · Daniel Philip Rose, Chia-Chien Hung, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 5
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Evaluating Language Models as Synthetic Data Generators
2025 · Seungone Kim, Juyoung Suk, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 5
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Human-Centric Research for NLP: Towards a Definition and Guiding Questions
2022 · Kotnis, Bhushan, Gashteovski, Kiril, et al. · arXiv (Cornell University) · 5
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Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders
2021 · Bhushan Kotnis, Carolin Lawrence, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 5
Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP.
2020 · Julia Kreutzer, Stefan Riezler, et al. · arXiv (Cornell University) · 5
AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents
2024 · Luca Gioacchini, Giuseppe Siracusano, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 4
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Generating and Evaluating Plausible Explanations for Knowledge Graph Completion
2024 · Antonio Di Mauro, Zhao Xu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 4
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A Human-Centric Assessment Framework for AI
2022 · Saralajew, Sascha, Shaker, Ammar, et al. · arXiv (Cornell University) · 4
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Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction
2021 · Wiem Ben Rim, Carolin Lawrence, et al. · Automated Knowledge Base Construction · 4
Works count: 94
Citation count: 394
H-index: 10
I10-index: 11
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