Carolin Lawrence

59 papers A* 8B 1Journal 33Unranked 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Compositional Steering of Large Language Models with Steering Tokens. CoRR Gorjan Radevski, Kiril Gashteovski, Giwon Hong, Carolin Lawrence, Goran Glavas
2025	—	`conf`	Evaluating Language Models as Synthetic Data Generators. ACL (1) Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2025	—	`conf`	MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis. ACL (1) Daniel Philip Rose, Chia-Chien Hung, Marco Lepri, Israa Alqassem, Kiril Gashteovski, Carolin Lawrence
2025	J	`jnl`	MEDDxAgent: A Unified Modular Agent Framework for Explainable Automatic Differential Diagnosis. CoRR Daniel Philip Rose, Chia-Chien Hung, Marco Lepri, Israa Alqassem, Kiril Gashteovski, Carolin Lawrence
2025	A*	`conf`	Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. EMNLP Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig
2025	J	`jnl`	Not-Just-Scaling Laws: Towards a Better Understanding of the Downstream Impact of Language Model Design Decisions. CoRR Emmy Liu, Amanda Bertsch, Lintang Sutawika, Lindia Tjuatja, Patrick Fernandes, Lara Marinov, Michael Chen, Shreya Singhal, Carolin Lawrence, Aditi Raghunathan, Kiril Gashteovski, Graham Neubig
2025	—	`conf`	On Synthesizing Data for Context Attribution in Question Answering. ACL (1) Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2025	J	`jnl`	On Synthesizing Data for Context Attribution in Question Answering. CoRR Gorjan Radevski, Kiril Gashteovski, Shahbaz Syed, Christopher Malon, Sebastien Nicolas, Chia-Chien Hung, Timo Sztyler, Verena Heußer, Wiem Ben Rim, Masafumi Enomoto, Kunihiro Takeoka, Masafumi Oyamada, Goran Glavas, Carolin Lawrence
2025	J	`jnl`	Scaling Evaluation-time Compute with Reasoning Models as Process Evaluators. CoRR Seungone Kim, Ian Wu, Jinu Lee, Xiang Yue, Seongyun Lee, Mingyeong Moon, Kiril Gashteovski, Carolin Lawrence, Julia Hockenmaier, Graham Neubig, Sean Welleck
2024	—	`conf`	A Human-Centric Assessment of the Usefulness of Attribution Methods in Computer Vision. ECML/PKDD (5) Wiem Ben Rim, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Carolin Lawrence, Jürgen Quittek, Sascha Saralajew
2024	—	`conf`	A Human-Centric Evaluation Platform for Explainable Knowledge Graph Completion. EACL (Demonstrations) Zhao Xu, Wiem Ben Rim, Kiril Gashteovski, Timo Sztyler, Carolin Lawrence
2024	—	`conf`	AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. NAACL (Demonstrations) Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2024	J	`jnl`	AgentQuest: A Modular Benchmark Framework to Measure Progress and Improve LLM Agents. CoRR Luca Gioacchini, Giuseppe Siracusano, Davide Sanvito, Kiril Gashteovski, David Friede, Roberto Bifulco, Carolin Lawrence
2024	J	`jnl`	Evaluating Language Models as Synthetic Data Generators. CoRR Seungone Kim, Juyoung Suk, Xiang Yue, Vijay Viswanathan, Seongyun Lee, Yizhong Wang, Kiril Gashteovski, Carolin Lawrence, Sean Welleck, Graham Neubig
2024	—	`conf`	Generating and Evaluating Plausible Explanations for Knowledge Graph Completion. ACL (1) Antonio Di Mauro, Zhao Xu, Wiem Ben Rim, Timo Sztyler, Carolin Lawrence
2024	J	`jnl`	Large Language Models Enable Few-Shot Clustering. Trans. Assoc. Comput. Linguistics Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2023	J	`jnl`	Large Language Models Enable Few-Shot Clustering. CoRR Vijay Viswanathan, Kiril Gashteovski, Carolin Lawrence, Tongshuang Wu, Graham Neubig
2023	A*	`conf`	Linking Surface Facts to Large-Scale Knowledge Graphs. EMNLP Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas
2023	J	`jnl`	Linking Surface Facts to Large-Scale Knowledge Graphs. CoRR Gorjan Radevski, Kiril Gashteovski, Chia-Chien Hung, Carolin Lawrence, Goran Glavas
2023	A*	`conf`	Multi-Source Survival Domain Adaptation. AAAI Ammar Shaker, Carolin Lawrence
2023	J	`jnl`	State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. IEEE Trans. Pattern Anal. Mach. Intell. Cheng Wang, Carolin Lawrence, Mathias Niepert
2023	J	`jnl`	Uncertainty Propagation in Node Classification. CoRR Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2023	J	`jnl`	Walking a Tightrope - Evaluating Large Language Models in High-Risk Domains. CoRR Chia-Chien Hung, Wiem Ben Rim, Lindsay Frost, Lars Brückner, Carolin Lawrence
2022	J	`jnl`	A Human-Centric Assessment Framework for AI. CoRR Sascha Saralajew, Ammar Shaker, Zhao Xu, Kiril Gashteovski, Bhushan Kotnis, Wiem Ben Rim, Jürgen Quittek, Carolin Lawrence
2022	—	`conf`	AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. ACL (demo) Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022	—	`conf`	BenchIE: A Framework for Multi-Faceted Fact-Based Open Information Extraction Evaluation. ACL (1) Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2022	J	`jnl`	Human-Centric Research for NLP: Towards a Definition and Guiding Questions. CoRR Bhushan Kotnis, Kiril Gashteovski, Julia Gastinger, Giuseppe Serra, Francesco Alesiani, Timo Sztyler, Ammar Shaker, Na Gong, Carolin Lawrence, Zhao Xu
2022	—	`conf`	KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. EMNLP (Demos) Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2022	J	`jnl`	KGxBoard: Explainable and Interactive Leaderboard for Evaluation of Knowledge Graph Completion Models. CoRR Haris Widjaja, Kiril Gashteovski, Wiem Ben Rim, Pengfei Liu, Christopher Malon, Daniel Ruffinelli, Carolin Lawrence, Graham Neubig
2022	—	`conf`	MILIE: Modular & Iterative Multilingual Open Information Extraction. ACL (1) Bhushan Kotnis, Kiril Gashteovski, Daniel Oñoro-Rubio, Ammar Shaker, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert, Carolin Lawrence
2022	J	`jnl`	Multi-Source Survival Domain Adaptation. CoRR Ammar Shaker, Carolin Lawrence
2022	J	`jnl`	State-Regularized Recurrent Neural Networks to Extract Automata and Explain Predictions. CoRR Cheng Wang, Carolin Lawrence, Mathias Niepert
2022	A*	`conf`	Uncertainty Propagation in Node Classification. ICDM Zhao Xu, Carolin Lawrence, Ammar Shaker, Raman Siarheyeu
2021	J	`jnl`	AnnIE: An Annotation Platform for Constructing Complete Open Information Extraction Benchmark. CoRR Niklas Friedrich, Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Mathias Niepert, Goran Glavas
2021	A*	`conf`	Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. AAAI Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2021	—	`conf`	Behavioral Testing of Knowledge Graph Embedding Models for Link Prediction. AKBC Wiem Ben Rim, Carolin Lawrence, Kiril Gashteovski, Mathias Niepert, Naoaki Okazaki
2021	J	`jnl`	BenchIE: Open Information Extraction Evaluation Based on Facts, Not Tokens. CoRR Kiril Gashteovski, Mingying Yu, Bhushan Kotnis, Carolin Lawrence, Goran Glavas, Mathias Niepert
2021	A*	`conf`	Explaining Neural Matrix Factorization with Gradient Rollback. AAAI Carolin Lawrence, Timo Sztyler, Mathias Niepert
2021	J	`jnl`	Integrating diverse extraction pathways using iterative predictions for Multilingual Open Information Extraction. CoRR Bhushan Kotnis, Kiril Gashteovski, Carolin Lawrence, Daniel Oñoro-Rubio, Vanesa Rodriguez-Tembras, Makoto Takamoto, Mathias Niepert
2021	B	`conf`	Interpreting Node Embedding with Text-labeled Graphs. IJCNN Giuseppe Serra, Zhao Xu, Mathias Niepert, Carolin Lawrence, Peter Tiño, Xin Yao
2021	—	`conf`	Offline Reinforcement Learning from Human Feedback in Real-World Sequence-to-Sequence Tasks. SPNLP@ACL-IJCNLP Julia Kreutzer, Stefan Riezler, Carolin Lawrence
2021	A*	`conf`	Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. ICLR Cheng Wang, Carolin Lawrence, Mathias Niepert
2021	J	`jnl`	VEGN: Variant Effect Prediction with Graph Neural Networks. CoRR Jun Cheng, Carolin Lawrence, Mathias Niepert
2020	J	`jnl`	Answering Complex Queries in Knowledge Graphs with Bidirectional Sequence Encoders. CoRR Bhushan Kotnis, Carolin Lawrence, Mathias Niepert
2020	J	`jnl`	Explaining Neural Matrix Factorization with Gradient Rollback. CoRR Carolin Lawrence, Timo Sztyler, Mathias Niepert
2020	J	`jnl`	Learning from Human Feedback: Challenges for Real-World Reinforcement Learning in NLP. CoRR Julia Kreutzer, Stefan Riezler, Carolin Lawrence
2020	J	`jnl`	Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs. CoRR Cheng Wang, Carolin Lawrence, Mathias Niepert
2019	J	`jnl`	Attending to Future Tokens For Bidirectional Sequence Generation. CoRR Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019	—	`conf`	Attending to Future Tokens for Bidirectional Sequence Generation. EMNLP/IJCNLP (1) Carolin Lawrence, Bhushan Kotnis, Mathias Niepert
2019	J	`jnl`	Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. CoRR Laura Jehl, Carolin Lawrence, Stefan Riezler
2019	J	`jnl`	Learning Neural Sequence-to-Sequence Models from Weak Feedback with Bipolar Ramp Loss. Trans. Assoc. Comput. Linguistics Laura Jehl, Carolin Lawrence, Stefan Riezler
2019	—	`—`	Response-Based and Counterfactual Learning for Sequence-to-Sequence Tasks in NLP. Carolin Lawrence
2018	J	`jnl`	Counterfactual Learning from Human Proofreading Feedback for Semantic Parsing. CoRR Carolin Lawrence, Stefan Riezler
2018	—	`conf`	Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. ACL (1) Carolin Lawrence, Stefan Riezler
2018	J	`jnl`	Improving a Neural Semantic Parser by Counterfactual Learning from Human Bandit Feedback. CoRR Carolin Lawrence, Stefan Riezler
2017	J	`jnl`	Counterfactual Learning for Machine Translation: Degeneracies and Solutions. CoRR Carolin Lawrence, Pratik Gajane, Stefan Riezler
2017	A*	`conf`	Counterfactual Learning from Bandit Feedback under Deterministic Logging : A Case Study in Statistical Machine Translation. EMNLP Carolin Lawrence, Artem Sokolov, Stefan Riezler
2017	J	`jnl`	Counterfactual Learning from Bandit Feedback under Deterministic Logging: A Case Study in Statistical Machine Translation. CoRR Carolin Lawrence, Artem Sokolov, Stefan Riezler
2016	—	`conf`	NLmaps: A Natural Language Interface to Query OpenStreetMap. COLING (Demos) Carolin Lawrence, Stefan Riezler