Taylor Sorensen
12 papers · 2022–2025 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (25) π§ Keyword Pioneer
β‘
Prolific Year
(5)
π
Century Club
(12)
ποΈ
Keyword Collector
(54)
β
The Questioner
Conferences
EMNLP (5)
ACL (2)
ICML (2)
NAACL (2)
AAAI (1)
Top co-authors
Keywords
language model
(3)
value alignment
(3)
large language model
(2)
knowledge distillation
(2)
preference modeling
(2)
rating prediction
(1)
natural language processing
(1)
representation learning
(1)
paraphrase generation
(1)
text generation
(1)
mutual information
(1)
human decision-making
(1)
multi-task learning
(1)
prompt engineering
(1)
knowledge graph
(1)
in-context learning
(1)
foundation model
(1)
zero-shot learning
(1)
human value
(1)
model compression
(1)
Papers
Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models
NAACL 2025
Can Language Models Reason about Individualistic Human Values and Preferences?
ACL 2025
Value Profiles for Encoding Human Variation
EMNLP 2025
Opt-ICL at LeWiDi-2025: Maximizing In-Context Signal from Rater Examples via Meta-Learning
EMNLP 2025
Position: Political Neutrality in AI Is Impossible β But Here Is How to Approximate It
ICML 2025
Value Kaleidoscope: Engaging AI with Pluralistic Human Values, Rights, and Duties
AAAI 2024
Impossible Distillation for Paraphrasing and Summarization: How to Make High-quality Lemonade out of Small, Low-quality Model
NAACL 2024
Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration
EMNLP 2024
Position: A Roadmap to Pluralistic Alignment
ICML 2024
NovaCOMET: Open Commonsense Foundation Models with Symbolic Knowledge Distillation
EMNLP 2023
An Information-theoretic Approach to Prompt Engineering Without Ground Truth Labels
ACL 2022
Prompt Compression and Contrastive Conditioning for Controllability and Toxicity Reduction in Language Models
EMNLP 2022