Alisa Liu
15 papers · 2019–2026 · 5 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (39)
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Keyword Collector
(89)
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Trend Setter
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Century Club · Bronze
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Unstoppable · Bronze
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The Questioner
(2)
Venues
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Research topics
Artificial Intelligence
(14)
Core AI
(13)
Machine Learning
(12)
Natural Language Processing
(12)
Learning Types · Machine Learning
(8)
Generation
(6)
Deep Learning
(5)
Applications
(5)
Application Areas
(4)
Learning Types · Deep Learning
(3)
Resources & Methods
(3)
Learning Paradigms
(2)
Models
(2)
Knowledge & Reasoning
(1)
Security & Privacy
(1)
Keywords
language model
(8)
large language model
(4)
question answering
(2)
text detoxification
(2)
text generation
(2)
product of expert
(2)
data augmentation
(2)
natural language inference
(2)
commonsense reasoning
(2)
preference learning
(1)
prompt engineering
(1)
dataset creation
(1)
toxicity detection
(1)
model merging
(1)
semi-supervised learning
(1)
context modeling
(1)
sentiment analysis
(1)
instruction tuning
(1)
synthetic data generation
(1)
language understanding
(1)
Papers
When One LLM Drools, Multi-LLM Collaboration Rules
ACL 2026
Does Liking Yellow Imply Driving a School Bus? Semantic Leakage in Language Models
NAACL 2025
LlamaPIE: Proactive In-Ear Conversation Assistants
ACL 2025
Synthetic Data in the Era of Large Language Models
ACL 2025
Data Mixture Inference Attack: BPE Tokenizers Reveal Training Data Compositions
NeurIPS 2024
Decoding-Time Language Model Alignment with Multiple Objectives
NeurIPS 2024
How Language Model Hallucinations Can Snowball
ICML 2024
Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts
ACL 2023
Self-Instruct: Aligning Language Models with Self-Generated Instructions
ACL 2023
That was the last straw, we need more: Are Translation Systems Sensitive to Disambiguating Context?
EMNLP 2023
We’re Afraid Language Models Aren’t Modeling Ambiguity
EMNLP 2023
Generated Knowledge Prompting for Commonsense Reasoning
ACL 2022
WANLI: Worker and AI Collaboration for Natural Language Inference Dataset Creation
EMNLP 2022
DExperts: Decoding-Time Controlled Text Generation with Experts and Anti-Experts
ACL 2021
CODAH: An Adversarially-Authored Question Answering Dataset for Common Sense
NAACL 2019