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ORCIDViktor Schlegel
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2020 – today
- 2025
[j8]Davy Weissenbacher
, Xinwei Zhao, Jessica R. C. Priestley, Katherine M. Szigety, Sarah F. Schmidt, Karen O'Connor, Ekin Soysal, Kirk Roberts, Jiewei Qi, Ling Luo, Zhihao Yang, Hongfei Lin, Hajung Kim, Chanhwi Kim, Jiwoong Sohn, Tim Beck, Marek Rei, Sunkyu Kim, T. Ian Simpson, Joram M. Posma, Antoine Lain, Mujeen Sung, Jaewoo Kang, Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic, Ying-Jia Lin, Zhi-Quan Feng, Hung-Yu Kao, Ian M. Campbell, Graciela Gonzalez-Hernandez:
Automatic genetic phenotype normalization from dysmorphology physical examinations: an overview of the BioCreative VIII - Task 3 competition. Database J. Biol. Databases Curation 2025 (2025)- [j7]Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel:
Learning to generate and evaluate fact-checking explanations with transformers. Eng. Appl. Artif. Intell. 139: 109492 (2025) - [j6]Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic:
Discontinuous named entities in clinical text: A systematic literature review. J. Biomed. Informatics 162: 104783 (2025) - [c29]Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler:
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. AAAI 2025: 23496-23504 - [c28]Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan:
uMedSum: A Unified Framework for Clinical Abstractive Summarization. ACL (1) 2025: 2653-2672 - [c27]Yidan Sun, Viktor Schlegel, Srinivasan Kolumam Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath:
Evaluating Differentially Private Generation of Domain-Specific Text. CIKM 2025: 5273-5278 - [c26]Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath:
Generating Realistic Multi-Beat ECG Signals. DSP 2025: 1-5 - [c25]Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian:
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling. ICML 2025 - [c24]Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan:
Representation Learning of Structured Data for Medical Foundation Models. UniReps 2025: 257-268 - [i37]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension. CoRR abs/2502.16523 (2025) - [i36]Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian:
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling. CoRR abs/2503.02445 (2025) - [i35]Viktor Schlegel, Anil A. Bharath, Zilong Zhao, Kevin Yee:
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead. CoRR abs/2503.20846 (2025) - [i34]Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath:
Generating Realistic Multi-Beat ECG Signals. CoRR abs/2505.18189 (2025) - [i33]Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian:
MIRA: Medical Time Series Foundation Model for Real-World Health Data. CoRR abs/2506.07584 (2025) - [i32]Hao Li, Viktor Schlegel, Yizheng Sun, Riza Batista-Navarro, Goran Nenadic:
Large Language Models in Argument Mining: A Survey. CoRR abs/2506.16383 (2025) - [i31]Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic:
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement. CoRR abs/2507.19081 (2025) - [i30]Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic:
Evaluation and LLM-Guided Learning of ICD Coding Rationales. CoRR abs/2508.16777 (2025) - [i29]Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath:
Evaluating Differentially Private Generation of Domain-Specific Text. CoRR abs/2508.20452 (2025) - [i28]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models. CoRR abs/2509.01093 (2025) - [i27]Mingyang Li, Viktor Schlegel, Tingting Mu, Warren Del-Pinto, Goran Nenadic:
Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs. CoRR abs/2509.09699 (2025) - [i26]Yuping Wu, Viktor Schlegel, Warren Del-Pinto, Srinivasan Nandakumar, Iqra Zahid, Yidan Sun, Usama Farghaly Omar, Amirah Jasmine, Arun-Kumar Kaliya-Perumal, Chun Shen Tham, Gabriel Connors, Anil A. Bharath, Goran Nenadic:
Term2Note: Synthesising Differentially Private Clinical Notes from Medical Terms. CoRR abs/2509.10882 (2025) - [i25]Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Yulong Wu, Hao Li, Jie Zhang, Warren Del-Pinto, Goran Nenadic, Siew Kei Lam, Anil Anthony Bharath:
SynBench: A Benchmark for Differentially Private Text Generation. CoRR abs/2509.14594 (2025) - 2024
- [j5]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
From outputs to insights: a survey of rationalization approaches for explainable text classification. Frontiers Artif. Intell. 7 (2024) - [j4]Ewan David Hannaford, Viktor Schlegel, Rhiannon Lewis, Stefan Ramsden, Jenny Bunn, John Moore, Marc Alexander, Hannah Barker, Riza Batista-Navarro, Lorna M. Hughes, Goran Nenadic:
Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage. J. Documentation 80(5): 1133-1147 (2024) - [c23]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. ACL (Findings) 2024: 133-150 - [c22]Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler:
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. ACL (Findings) 2024: 4002-4042 - [c21]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond. EACL (1) 2024: 1738-1751 - [c20]Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler:
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024: 2514-2528 - [i24]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic:
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation. CoRR abs/2406.03151 (2024) - [i23]Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler:
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering. CoRR abs/2406.03699 (2024) - [i22]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension. CoRR abs/2408.05023 (2024) - [i21]Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan:
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization. CoRR abs/2408.12095 (2024) - [i20]Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler:
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction. CoRR abs/2408.12249 (2024) - [i19]Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler:
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues. CoRR abs/2408.14418 (2024) - [i18]Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler:
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? CoRR abs/2409.05197 (2024) - [i17]Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan:
Representation Learning of Structured Data for Medical Foundation Models. CoRR abs/2410.13351 (2024) - [i16]Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel:
Learning to Generate and Evaluate Fact-checking Explanations with Transformers. CoRR abs/2410.15669 (2024) - 2023
- [j3]Boyang Liu, Viktor Schlegel, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou:
Global information-aware argument mining based on a top-down multi-turn QA model. Inf. Process. Manag. 60(5): 103445 (2023) - [j2]Darius Feher, Faridz Ibrahim, Zhuyan Cheng, Viktor Schlegel, Tom Maidment, James Bagshaw, Riza Batista-Navarro:
Few-shot entity linking of food names. Inf. Process. Manag. 60(5): 103463 (2023) - [j1]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding. Nat. Lang. Eng. 29(1): 1-31 (2023) - [c19]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. ACL (Findings) 2023: 4658-4665 - [c18]Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic:
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. ACL (1) 2023: 14064-14080 - [c17]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
Team: PULSAR at ProbSum 2023: PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. BioNLP@ACL 2023: 503-509 - [c16]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CLEF (Working Notes) 2023: 1668-1679 - [c15]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Argument mining as a multi-hop generative machine reading comprehension task. EMNLP (Findings) 2023: 10846-10858 - [c14]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? IJCNLP (2) 2023: 184-196 - [c13]Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro:
MMT's Submission for the WMT 2023 Quality Estimation Shared Task. WMT 2023: 856-862 - [i15]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin:
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification. CoRR abs/2304.13998 (2023) - [i14]Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria:
Beyond Words: A Comprehensive Survey of Sentence Representations. CoRR abs/2305.12641 (2023) - [i13]Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic:
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation. CoRR abs/2305.16000 (2023) - [i12]Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler:
A Two-Stage Decoder for Efficient ICD Coding. CoRR abs/2306.00005 (2023) - [i11]Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic:
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models. CoRR abs/2306.02754 (2023) - [i10]Viktor Schlegel, Hao Li, Yuping Wu, Anand Subramanian, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Daniel Beck, Xiao-Jun Zeng, Riza Theresa Batista-Navarro, Stefan Winkler, Goran Nenadic:
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records. CoRR abs/2307.02006 (2023) - [i9]Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler:
Automated Clinical Coding for Outpatient Departments. CoRR abs/2312.13533 (2023) - 2022
- [c12]Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi:
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. ACL (2) 2022: 453-463 - [c11]Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann:
Can Transformers Reason in Fragments of Natural Language? EMNLP 2022: 11184-11199 - [c10]Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro:
Towards Human-Centred Explainability Benchmarks For Text Classification. ICWSM Workshops 2022 - [c9]Areej Alhassan, Jinkai Zhang, Viktor Schlegel:
'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models. LREC 2022: 267-276 - [c8]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. LREC 2022: 3610-3625 - [c7]Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou:
Incorporating Zoning Information into Argument Mining from Biomedical Literature. LREC 2022: 6162-6169 - [i8]Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi:
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language. CoRR abs/2203.06096 (2022) - [i7]Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro:
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour. CoRR abs/2205.02684 (2022) - [i6]Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann:
Can Transformers Reason in Fragments of Natural Language? CoRR abs/2211.05417 (2022) - [i5]Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro:
Towards Human-Centred Explainability Benchmarks For Text Classification. CoRR abs/2211.05452 (2022) - 2021
- [c6]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. AAAI 2021: 13762-13770 - [c5]Yulong Wu, Viktor Schlegel, Riza Batista-Navarro:
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? EACL 2021: 3565-3579 - 2020
- [c4]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. LREC 2020: 5359-5369 - [i4]Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro:
A Framework for Evaluation of Machine Reading Comprehension Gold Standards. CoRR abs/2003.04642 (2020) - [i3]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models. CoRR abs/2005.14709 (2020) - [i2]Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro:
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading. CoRR abs/2012.04056 (2020)
2010 – 2019
- 2019
- [c3]Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas:
Vajra: step-by-step programming with natural language. IUI 2019: 30-39 - [c2]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. TextGraphs@EMNLP 2019: 42-51 - [c1]Viktor Schlegel, André Freitas:
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings. TextGraphs@EMNLP 2019: 177-185 - [i1]Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas:
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks. CoRR abs/1910.00290 (2019)
Coauthor Index
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