Viktor Schlegel

77 papers A* 5A 4B 4Journal 45Unranked 19
YearRankTypeTitle / Venue / Authors
2026 — conf
Evaluation and LLM-Guided Learning of ICD Coding Rationales.
EACL (Volume 1: Long Papers)
Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2025 J jnl
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement.
CoRR
Hao Li, Yizheng Sun, Viktor Schlegel, Kailai Yang, Riza Batista-Navarro, Goran Nenadic
2025 J jnl
Automatic genetic phenotype normalization from dysmorphology physical examinations: an overview of the BioCreative VIII - Task 3 competition.
Database J. Biol. Databases Curation
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
2025 A* conf
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling.
ICML
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling.
CoRR
Hao Li, Yu-Hao Huang, Chang Xu, Viktor Schlegel, Renhe Jiang, Riza Batista-Navarro, Goran Nenadic, Jiang Bian
2025 J jnl
Discontinuous named entities in clinical text: A systematic literature review.
J. Biomed. Informatics
Areej Alhassan, Viktor Schlegel, Monira Aloud, Riza Batista-Navarro, Goran Nenadic
2025 A conf
DocDiscNER: Enhanced Document-Level Discontinuous NER via Coordination Ellipses Resolution and Self-Consistency Decoding.
ECAI
Areej Alhassan, Viktor Schlegel, Rina Carines Cabral, Riza Batista-Navarro, Soyeon Caren Han, Josiah Poon, Goran Nenadic
2025 A conf
Evaluating Differentially Private Generation of Domain-Specific Text.
CIKM
Yidan Sun, Viktor Schlegel, Srinivasan Kolumam Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath
2025 J jnl
Evaluating Differentially Private Generation of Domain-Specific Text.
CoRR
Yidan Sun, Viktor Schlegel, Srinivasan Nandakumar, Iqra Zahid, Yuping Wu, Warren Del-Pinto, Goran Nenadic, Siew-Kei Lam, Jie Zhang, Anil A. Bharath
2025 J jnl
Evaluation and LLM-Guided Learning of ICD Coding Rationales.
CoRR
Mingyang Li, Viktor Schlegel, Tingting Mu, Wuraola Oyewusi, Kai Kang, Goran Nenadic
2025 — conf
Generating Realistic Multi-Beat ECG Signals.
DSP
Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath
2025 J jnl
Generating Realistic Multi-Beat ECG Signals.
CoRR
Paul Pöhl, Viktor Schlegel, Hao Li, Anil A. Bharath
2025 J jnl
Generating Synthetic Data with Formal Privacy Guarantees: State of the Art and the Road Ahead.
CoRR
Viktor Schlegel, Anil A. Bharath, Zilong Zhao, Kevin Yee
2025 J jnl
Large Language Models in Argument Mining: A Survey.
CoRR
Hao Li, Viktor Schlegel, Yizheng Sun, Riza Batista-Navarro, Goran Nenadic
2025 J jnl
Learning to generate and evaluate fact-checking explanations with transformers.
Eng. Appl. Artif. Intell.
Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel
2025 A* conf
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.
AAAI
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler
2025 J jnl
MIRA: Medical Time Series Foundation Model for Real-World Health Data.
CoRR
Hao Li, Bowen Deng, Chang Xu, Zhiyuan Feng, Viktor Schlegel, Yu-Hao Huang, Yizheng Sun, Jingyuan Sun, Kailai Yang, Yiyao Yu, Jiang Bian
2025 — conf
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models.
EMNLP (Findings)
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
2025 J jnl
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models.
CoRR
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
2025 J jnl
Pay Attention to Real World Perturbations! Natural Robustness Evaluation in Machine Reading Comprehension.
CoRR
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
2025 — conf
Representation Learning of Structured Data for Medical Foundation Models.
UniReps
Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan
2025 J jnl
Structured Information Matters: Explainable ICD Coding with Patient-Level Knowledge Graphs.
CoRR
Mingyang Li, Viktor Schlegel, Tingting Mu, Warren Del-Pinto, Goran Nenadic
2025 J jnl
SynBench: A Benchmark for Differentially Private Text Generation.
CoRR
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
2025 J jnl
Term2Note: Synthesising Differentially Private Clinical Notes from Medical Terms.
CoRR
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
2025 — conf
uMedSum: A Unified Framework for Clinical Abstractive Summarization.
ACL (1)
Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan
2024 — conf
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond.
EACL (1)
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
2024 J jnl
From outputs to insights: a survey of rationalization approaches for explainable text classification.
Frontiers Artif. Intell.
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
2024 J jnl
Investigating a Benchmark for Training-set free Evaluation of Linguistic Capabilities in Machine Reading Comprehension.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2024 J jnl
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction.
CoRR
Aishik Nagar, Viktor Schlegel, Thanh-Tung Nguyen, Hao Li, Yuping Wu, Kuluhan Binici, Stefan Winkler
2024 J jnl
Learning to Generate and Evaluate Fact-checking Explanations with Transformers.
CoRR
Darius Feher, Abdullah Salem Khered, Hao Zhang, Riza Batista-Navarro, Viktor Schlegel
2024 — conf
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.
ACL (Findings)
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
2024 J jnl
M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering.
CoRR
Anand Subramanian, Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Vijay Prakash Dwivedi, Stefan Winkler
2024 J jnl
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues.
CoRR
Kuluhan Binici, Abhinav Ramesh Kashyap, Viktor Schlegel, Andy T. Liu, Vijay Prakash Dwivedi, Thanh-Tung Nguyen, Xiaoxue Gao, Nancy F. Chen, Stefan Winkler
2024 J jnl
Our Heritage, Our Stories: developing AI tools to link and support community-generated digital cultural heritage.
J. Documentation
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
2024 J jnl
Representation Learning of Structured Data for Medical Foundation Models.
CoRR
Vijay Prakash Dwivedi, Viktor Schlegel, Andy T. Liu, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Jeng Wei, Wei-Hsian Yin, Stefan Winkler, Robby T. Tan
2024 A* conf
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
EMNLP
Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler
2024 J jnl
Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers?
CoRR
Neeladri Bhuiya, Viktor Schlegel, Stefan Winkler
2024 — conf
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
ACL (Findings)
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2024 J jnl
Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Tharindu Madusanka, Iqra Zahid, Jiayan Zeng, Xiaochi Wang, Xinran He, Yizhi Li, Goran Nenadic
2024 J jnl
uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization.
CoRR
Aishik Nagar, Yutong Liu, Andy T. Liu, Viktor Schlegel, Vijay Prakash Dwivedi, Arun-Kumar Kaliya-Perumal, Guna Pratheep Kalanchiam, Yili Tang, Robby T. Tan
2023 — conf
A Two-Stage Decoder for Efficient ICD Coding.
ACL (Findings)
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler
2023 J jnl
A Two-Stage Decoder for Efficient ICD Coding.
CoRR
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler
2023 J jnl
A survey of methods for revealing and overcoming weaknesses of data-driven Natural Language Understanding.
Nat. Lang. Eng.
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2023 — conf
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?
IJCNLP (2)
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
2023 — conf
Argument mining as a multi-hop generative machine reading comprehension task.
EMNLP (Findings)
Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
2023 J jnl
Automated Clinical Coding for Outpatient Departments.
CoRR
Viktor Schlegel, Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Tsung-Han Yang, Vijay Prakash Dwivedi, Wei-Hsian Yin, Jeng Wei, Stefan Winkler
2023 J jnl
Beyond Words: A Comprehensive Survey of Sentence Representations.
CoRR
Abhinav Ramesh Kashyap, Thanh-Tung Nguyen, Viktor Schlegel, Stefan Winkler, See-Kiong Ng, Soujanya Poria
2023 — conf
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
ACL (1)
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 J jnl
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation.
CoRR
Hao Li, Viktor Schlegel, Riza Batista-Navarro, Goran Nenadic
2023 J jnl
Few-shot entity linking of food names.
Inf. Process. Manag.
Darius Feher, Faridz Ibrahim, Zhuyan Cheng, Viktor Schlegel, Tom Maidment, James Bagshaw, Riza Batista-Navarro
2023 J jnl
Global information-aware argument mining based on a top-down multi-turn QA model.
Inf. Process. Manag.
Boyang Liu, Viktor Schlegel, Paul Thompson, Riza Theresa Batista-Navarro, Sophia Ananiadou
2023 — conf
MMT's Submission for the WMT 2023 Quality Estimation Shared Task.
WMT
Yulong Wu, Viktor Schlegel, Daniel Beck, Riza Batista-Navarro
2023 J jnl
Mimic-IV-ICD: A new benchmark for eXtreme MultiLabel Classification.
CoRR
Thanh-Tung Nguyen, Viktor Schlegel, Abhinav Ramesh Kashyap, Stefan Winkler, Shao-Syuan Huang, Jie-Jyun Liu, Chih-Jen Lin
2023 — conf
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CLEF (Working Notes)
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
2023 J jnl
PULSAR at MEDIQA-Sum 2023: Large Language Models Augmented by Synthetic Dialogue Convert Patient Dialogues to Medical Records.
CoRR
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
2023 J jnl
PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patients' Problems and Data Augmentation with Black-box Large Language Models.
CoRR
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
2023 — conf
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
Hao Li, Yuping Wu, Viktor Schlegel, Riza Batista-Navarro, Thanh-Tung Nguyen, Abhinav Ramesh Kashyap, Xiao-Jun Zeng, Daniel Beck, Stefan Winkler, Goran Nenadic
2022 B conf
'Am I the Bad One'? Predicting the Moral Judgement of the Crowd Using Pre-trained Language Models.
LREC
Areej Alhassan, Jinkai Zhang, Viktor Schlegel
2022 A* conf
Can Transformers Reason in Fragments of Natural Language?
EMNLP
Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann
2022 J jnl
Can Transformers Reason in Fragments of Natural Language?
CoRR
Viktor Schlegel, Kamen V. Pavlov, Ian Pratt-Hartmann
2022 B conf
Incorporating Zoning Information into Argument Mining from Biomedical Literature.
LREC
Boyang Liu, Viktor Schlegel, Riza Batista-Navarro, Sophia Ananiadou
2022 B conf
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour.
LREC
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
2022 J jnl
RaFoLa: A Rationale-Annotated Corpus for Detecting Indicators of Forced Labour.
CoRR
Erick Mendez Guzman, Viktor Schlegel, Riza Batista-Navarro
2022 — conf
Towards Human-Centred Explainability Benchmarks For Text Classification.
ICWSM Workshops
Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro
2022 J jnl
Towards Human-Centred Explainability Benchmarks For Text Classification.
CoRR
Viktor Schlegel, Erick Mendez Guzman, Riza Batista-Navarro
2022 — conf
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language.
ACL (2)
Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
2022 J jnl
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language.
CoRR
Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
2021 A conf
Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension?
EACL
Yulong Wu, Viktor Schlegel, Riza Batista-Navarro
2021 A* conf
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
AAAI
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2020 B conf
A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
LREC
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
2020 J jnl
A Framework for Evaluation of Machine Reading Comprehension Gold Standards.
CoRR
Viktor Schlegel, Marco Valentino, André Freitas, Goran Nenadic, Riza Batista-Navarro
2020 J jnl
Beyond Leaderboards: A survey of methods for revealing weaknesses in Natural Language Inference data and models.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2020 J jnl
Semantics Altering Modifications for Evaluating Comprehension in Machine Reading.
CoRR
Viktor Schlegel, Goran Nenadic, Riza Batista-Navarro
2019 — conf
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings.
TextGraphs@EMNLP
Viktor Schlegel, André Freitas
2019 — conf
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.
TextGraphs@EMNLP
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
2019 J jnl
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks.
CoRR
Mokanarangan Thayaparan, Marco Valentino, Viktor Schlegel, André Freitas
2019 A conf
Vajra: step-by-step programming with natural language.
IUI
Viktor Schlegel, Benedikt Lang, Siegfried Handschuh, André Freitas