Valentin Hofmann
19 papers · 2020–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🗺️ Taxonomy Completionist (36) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(3)
👥
Mega-Team · Squad
🧬
Topic Evolution
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(113)
Top co-authors
Research topics
Natural Language Processing
(13)
Artificial Intelligence
(11)
Machine Learning
(10)
Core AI
(10)
Resources & Methods
(10)
Deep Learning
(7)
Core Methods
(6)
Interdisciplinary
(5)
Linguistics
(5)
Application Areas
(4)
Architectures
(4)
Generation
(4)
Learning Types
(3)
Models
(3)
Optimization & Theory
(3)
Keywords
large language model
(5)
pre-trained language model
(5)
derivational morphology
(3)
language model
(3)
structured sparsity
(2)
graph neural network
(2)
contextualized embedding
(2)
bias detection
(2)
word formation
(2)
word embedding
(2)
temporal dynamics
(1)
semantic analysis
(1)
computational linguistics
(1)
word segmentation
(1)
model evaluation
(1)
opinion mining
(1)
benchmark evaluation
(1)
social media analysis
(1)
responsible ai
(1)
multilingual nlp
(1)
Papers
Aligned but Blind: Alignment Increases Implicit Bias by Reducing Awareness of Race
ACL 2025
Assessing Dialect Fairness and Robustness of Large Language Models in Reasoning Tasks
ACL 2025
Large Language Models Discriminate Against Speakers of German Dialects
EMNLP 2025
Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research
ACL 2024
Graph-enhanced Large Language Models in Asynchronous Plan Reasoning
ICML 2024
MAGNET: Improving the Multilingual Fairness of Language Models with Adaptive Gradient-Based Tokenization
NeurIPS 2024
Paloma: A Benchmark for Evaluating Language Model Fit
NeurIPS 2024
Political Compass or Spinning Arrow? Towards More Meaningful Evaluations for Values and Opinions in Large Language Models
ACL 2024
Counting the Bugs in ChatGPT’s Wugs: A Multilingual Investigation into the Morphological Capabilities of a Large Language Model
EMNLP 2023
An Embarrassingly Simple Method to Mitigate Undesirable Properties of Pretrained Language Model Tokenizers
ACL 2022
CaMEL: Case Marker Extraction without Labels
ACL 2022
Modeling Ideological Salience and Framing in Polarized Online Groups with Graph Neural Networks and Structured Sparsity
NAACL 2022
The better your Syntax, the better your Semantics? Probing Pretrained Language Models for the English Comparative Correlative
EMNLP 2022
Unsupervised Detection of Contextualized Embedding Bias with Application to Ideology
ICML 2022
Dynamic Contextualized Word Embeddings
ACL 2021
Superbizarre Is Not Superb: Derivational Morphology Improves BERT’s Interpretation of Complex Words
ACL 2021
A Graph Auto-encoder Model of Derivational Morphology
ACL 2020
DagoBERT: Generating Derivational Morphology with a Pretrained Language Model
EMNLP 2020
Predicting the Growth of Morphological Families from Social and Linguistic Factors
ACL 2020