Kristina Lerman
18 papers · 2017–2026 · 7 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 (43) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🏆
Keyword Champion
(2)
🤝
Dynamic Duo
(12)
🧬
Topic Evolution
⚡
Prolific Year · Productive
🔥
Unstoppable · Bronze
❓
The Questioner
(2)
💎
Century Club · Bronze
🗃️
Keyword Collector
(97)
Top co-authors
Research topics
Machine Learning
(15)
Artificial Intelligence
(14)
Core AI
(13)
Natural Language Processing
(10)
Deep Learning
(7)
Learning Types · Machine Learning
(7)
Applications
(6)
Application Areas
(5)
Core Methods
(5)
Architectures
(4)
Resources & Methods
(4)
Learning Paradigms
(3)
Interdisciplinary
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Keywords
large language model
(8)
language model
(3)
transfer learning
(2)
in-context learning
(2)
text classification
(2)
content moderation
(2)
ideological bia
(2)
subjective annotation
(2)
instruction tuning
(2)
semi-supervised learning
(1)
embedding learning
(1)
benchmark evaluation
(1)
knowledge transfer
(1)
preference alignment
(1)
contrastive learning
(1)
sentiment analysis
(1)
topic modeling
(1)
domain adaptation
(1)
link prediction
(1)
social media analysis
(1)
Papers
BigTokDetect: A Clinically-Informed Vision–Language Modeling Framework for Detecting Pro-Bigorexia Videos on TikTok
EACL 2026
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models’ Posteriors
NAACL 2025
Estimating Causal Effects of Text Interventions Leveraging LLMs
IJCNLP 2025
Humans Hallucinate Too: Language Models Identify and Correct Subjective Annotation Errors With Label-in-a-Haystack Prompts
EMNLP 2025
Improving and Assessing the Fidelity of Large Language Models Alignment to Online Communities
NAACL 2025
STEER-BENCH: A Benchmark for Evaluating the Steerability of Large Language Models
EMNLP 2025
Capturing Perspectives of Crowdsourced Annotators in Subjective Learning Tasks
NAACL 2024
Community-Cross-Instruct: Unsupervised Instruction Generation for Aligning Large Language Models to Online Communities
EMNLP 2024
Don’t Blame the Data, Blame the Model: Understanding Noise and Bias When Learning from Subjective Annotations
EACL 2024
How Susceptible are Large Language Models to Ideological Manipulation?
EMNLP 2024
Reading Between the Tweets: Deciphering Ideological Stances of Interconnected Mixed-Ideology Communities
EACL 2024
Whose Emotions and Moral Sentiments do Language Models Reflect?
ACL 2024
ALCAP: Alignment-Augmented Music Captioner
EMNLP 2023
Infusing Knowledge from Wikipedia to Enhance Stance Detection
ACL 2022
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
EMNLP 2021
Speaker Turn Modeling for Dialogue Act Classification
EMNLP 2021
MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing
ICML 2019
Deep Context: A Neural Language Model for Large-scale Networked Documents
IJCAI 2017