Patrick Haller
15 papers · 2021–2026 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (35) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Mega-Team · Squad
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Topic Evolution
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Renaissance Researcher
(6)
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Keyword Collector
(67)
Top co-authors
Research topics
Natural Language Processing
(11)
Machine Learning
(8)
Resources & Methods
(7)
Artificial Intelligence
(6)
Deep Learning
(4)
Interdisciplinary
(4)
Cognitive Science
(4)
Core AI
(4)
Learning Types
(4)
Application Areas
(3)
Understanding
(3)
Architectures
(2)
Core Methods
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
language model
(4)
large language model
(4)
sample efficiency
(3)
named entity recognition
(3)
zero-shot learning
(3)
instruction tuning
(3)
knowledge distillation
(2)
reading time
(2)
eye movement
(2)
eye tracking
(1)
model architecture
(1)
code generation
(1)
data augmentation
(1)
factual knowledge
(1)
language modeling
(1)
dataset creation
(1)
uniform information density
(1)
label shift
(1)
semantic similarity
(1)
language production
(1)
Papers
FiNERweb: Datasets and Artifacts for Scalable Multilingual Named Entity Recognition
EACL 2026
Familiarity: Better Evaluation of Zero-Shot Named Entity Recognition by Quantifying Label Shifts in Synthetic Training Data
NAACL 2025
From Data to Knowledge: Evaluating How Efficiently Language Models Learn Facts
ACL 2025
Leveraging In-Context Learning for Political Bias Testing of LLMs
ACL 2025
Sample-Efficient Language Modeling with Linear Attention and Lightweight Enhancements
EMNLP 2025
BabyHGRN: Exploring RNNs for Sample-Efficient Language Modeling
CoNLL 2024
Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
ACL 2024
On the alignment of LM language generation and human language comprehension
EMNLP 2024
OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs
NAACL 2024
PECC: Problem Extraction and Coding Challenges
COLING 2024
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
EMNLP 2023
ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts
EMNLP 2023
BigBio: A Framework for Data-Centric Biomedical Natural Language Processing
NeurIPS 2022
Eye-tracking based classification of Mandarin Chinese readers with and without dyslexia using neural sequence models
EMNLP 2022
Revisiting the Uniform Information Density Hypothesis
EMNLP 2021