Thomas Hartvigsen
29 papers · 2020–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
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Cross-Pollinator
(14)
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Renaissance Researcher
(9)
πΊοΈ
Taxonomy Completionist
(58)
π
Grand Slam
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Keyword Champion
(2)
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Conference Pioneer
π₯
Unstoppable
(6)
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Century Club
(26)
β
The Questioner
(2)
ποΈ
Keyword Collector
(106)
β‘
Prolific Year
(13)
Conferences
ACL (10)
EMNLP (7)
AAAI (3)
ICML (3)
NIPS (3)
ICLR (2)
MICCAI (1)
Top co-authors
Keywords
large language model
(9)
text classification
(4)
knowledge editing
(3)
language model
(3)
community norm
(2)
knowledge amalgamation
(2)
transfer learning
(2)
model editing
(2)
toxicity detection
(2)
time series
(2)
question answering
(2)
content moderation
(2)
neural network
(2)
math word problem
(2)
semi-supervised learning
(2)
attention mechanism
(2)
time series analysis
(2)
knowledge distillation
(2)
feature extraction
(1)
adversarial learning
(1)
Papers
EDUMATH: Generating Standards-aligned Educational Math Word Problems
ACL 2026
Inferring Events from Time Series using Language Models
ACL 2026
Evaluating Temporal Consistency in Multi-Turn Language Models
ACL 2026
Lifelong Knowledge Editing requires Better Regularization
EMNLP 2025
Composable Interventions for Language Models
ICLR 2025
Learning under Temporal Label Noise
ICLR 2025
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing
ICML 2025
WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs
ICML 2025
Math Neurosurgery: Isolating Language Modelsβ Math Reasoning Abilities Using Only Forward Passes
ACL 2025
Low-Bit Quantization Favors Undertrained LLMs
ACL 2025
Efficient Knowledge Editing via Minimal Precomputation
ACL 2025
Lifelong Model Editing with Graph-Based External Memory
ACL 2025
Decoding the Rule Book: Extracting Hidden Moderation Criteria from Reddit Communities
EMNLP 2025
Position: Medical Large Language Model Benchmarks Should Prioritize Construct Validity
ICML 2025
Sparse Autoencoder Features for Classifications and Transferability
EMNLP 2025
ModelCitizens: Representing Community Voices in Online Safety
EMNLP 2025
MATHWELL: Generating Educational Math Word Problems Using Teacher Annotations
EMNLP 2024
BendVLM: Test-Time Debiasing of Vision-Language Embeddings
NIPS 2024
UniTS: A Unified Multi-Task Time Series Model
NIPS 2024
TAXI: Evaluating Categorical Knowledge Editing for Language Models
ACL 2024
Language Models Still Struggle to Zero-shot Reason about Time Series
EMNLP 2024
Are Language Models Actually Useful for Time Series Forecasting?
NIPS 2024
Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks
EMNLP 2024
FedMedICL: Towards Holistic Evaluation of Distribution Shifts in Federated Medical Imaging
MICCAI 2024
Knowledge Amalgamation for Multi-Label Classification via Label Dependency Transfer
AAAI 2023
Recovering the Propensity Score from Biased Positive Unlabeled Data
AAAI 2022
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection
ACL 2022
Semi-Supervised Knowledge Amalgamation for Sequence Classification
AAAI 2021
Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?
ACL 2020