Viktor Schlegel

27 papers · 2019–2026 · 8 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (9) 🌈 Renaissance Researcher (7) 🗺️ Taxonomy Completionist (49) 🏆 Keyword Champion (2) 🤝 Dynamic Duo (14) 🗃️ Keyword Collector (133) ❓ The Questioner (7) 🔥 Unstoppable (5) 💎 Century Club (25) ⚡ Prolific Year (5)

Conferences

ACL (8) EMNLP (8) EACL (5) AAAI (2) AACL (1) ICML (1) IJCNLP (1) NAACL (1)

Top co-authors

Riza Batista-Navarro (15) Goran Nenadic (8) Stefan Winkler (7) Thanh-Tung Nguyen (6) Abhinav Ramesh Kashyap (5) Hao Li (5) Yulong Wu (5) Vijay Prakash Dwivedi (3) Yuping Wu (3) Andy T. Liu (2)

Keywords

large language model (6) machine reading comprehension (3) data augmentation (3) transformer model (3) abstractive summarization (3) argument mining (3) question answering (3) multi-hop reasoning (3) clinical nlp (2) icd coding (2) graph neural network (2) natural language understanding (2) text classification (2) explainable ai (2) domain adaptation (2) text summarization (2) benchmark evaluation (2) multi-label classification (2) reading comprehension (2) argument summarisation (2)

Papers

Evaluation and LLM-Guided Learning of ICD Coding Rationales EACL 2026

The SlangTrack Dataset: Supporting the Detection of Words Used in Slang Senses EACL 2026

Natural Context Drift Undermines the Natural Language Understanding of Large Language Models EMNLP 2025

uMedSum: A Unified Framework for Clinical Abstractive Summarization ACL 2025

LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction NAACL 2025

BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling ICML 2025

MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues AAAI 2025

Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models EACL 2024

Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation ACL 2024

M-QALM: A Benchmark to Assess Clinical Reading Comprehension and Knowledge Recall in Large Language Models via Question Answering ACL 2024

A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond EACL 2024

Seemingly Plausible Distractors in Multi-Hop Reasoning: Are Large Language Models Attentive Readers? EMNLP 2024

Towards Explainable Multi-Label Text Classification: A Multi-Task Rationalisation Framework for Identifying Indicators of Forced Labour EMNLP 2024

Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation ACL 2023

MMT’s Submission for the WMT 2023 Quality Estimation Shared Task EMNLP 2023

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? AACL 2023

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 ACL 2023

A Two-Stage Decoder for Efficient ICD Coding ACL 2023

Are Machine Reading Comprehension Systems Robust to Context Paraphrasing? IJCNLP 2023

Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature ACL 2023

Argument mining as a multi-hop generative machine reading comprehension task EMNLP 2023

Can Transformers Reason in Fragments of Natural Language? EMNLP 2022

WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language ACL 2022

Semantics Altering Modifications for Evaluating Comprehension in Machine Reading AAAI 2021

Is the Understanding of Explicit Discourse Relations Required in Machine Reading Comprehension? EACL 2021

Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks EMNLP 2019

DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings EMNLP 2019