Viktor Schlegel
28 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+10 more ↓ Show less ↑
π Academic Marathon (6) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (8) π Cross-Pollinator (9)
π
Cross-Pollinator
(9)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(49)
π
Keyword Champion
(2)
π€
Dynamic Duo
(14)
ποΈ
Keyword Collector
(133)
β
The Questioner
(7)
π₯
Unstoppable
(5)
π
Century Club
(25)
β‘
Prolific Year
(5)
Conferences
ACL (9)
EMNLP (8)
EACL (5)
AAAI (2)
AACL (1)
ICML (1)
IJCNLP (1)
NAACL (1)
Top co-authors
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 summarization
(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
Arg-LLaDA: Argument Summarization via Large Language Diffusion Models and Sufficiency-Aware Refinement
ACL 2026
Natural Context Drift Undermines the Natural Language Understanding of Large Language Models
EMNLP 2025
LLMs are not Zero-Shot Reasoners for Biomedical Information Extraction
NAACL 2025
MEDSAGE: Enhancing Robustness of Medical Dialogue Summarization to ASR Errors with LLM-generated Synthetic Dialogues
AAAI 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modeling
ICML 2025
uMedSum: A Unified Framework for Clinical Abstractive Summarization
ACL 2025
A Comprehensive Survey of Sentence Representations: From the BERT Epoch to the CHATGPT Era and Beyond
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
Enriching the Metadata of Community-Generated Digital Content through Entity Linking: An Evaluative Comparison of State-of-the-Art Models
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
A Two-Stage Decoder for Efficient ICD Coding
ACL 2023
Do You Hear The People Sing? Key Point Analysis via Iterative Clustering and Abstractive Summarisation
ACL 2023
Entity Coreference and Co-occurrence Aware Argument Mining from Biomedical Literature
ACL 2023
Team:PULSAR at ProbSum 2023:PULSAR: Pre-training with Extracted Healthcare Terms for Summarising Patientsβ Problems and Data Augmentation with Black-box Large Language Models
ACL 2023
Argument mining as a multi-hop generative machine reading comprehension task
EMNLP 2023
MMTβs Submission for the WMT 2023 Quality Estimation Shared Task
EMNLP 2023
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?
AACL 2023
Are Machine Reading Comprehension Systems Robust to Context Paraphrasing?
IJCNLP 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
DBee: A Database for Creating and Managing Knowledge Graphs and Embeddings
EMNLP 2019
Identifying Supporting Facts for Multi-hop Question Answering with Document Graph Networks
EMNLP 2019