Sullam Jeoung
13 papers · 2022–2026 · 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 ↓+4 more ↓ Show less ↑
🌉 Interdisciplinary Bridge · Gold 🗺️ Taxonomy Completionist (29) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 👥 Mega-Team · Squad
❓
The Questioner
🔥
Unstoppable · Bronze
💎
Century Club · Bronze
🗃️
Keyword Collector
(68)
Top co-authors
Research topics
Artificial Intelligence
(8)
Machine Learning
(8)
Natural Language Processing
(8)
Core AI
(8)
Application Areas
(5)
Resources & Methods
(5)
Deep Learning
(3)
Applications
(2)
Core Methods
(2)
Learning Types
(2)
Optimization & Theory
(2)
Interdisciplinary
(1)
Knowledge & Reasoning
(1)
Education
(1)
Generation
(1)
Keywords
large language model
(6)
language model
(2)
gender bia
(2)
bias detection
(2)
relation extraction
(1)
prompt engineering
(1)
natural language processing
(1)
text summarization
(1)
text mining
(1)
toxicity detection
(1)
gradient descent
(1)
learning performance
(1)
semantic network
(1)
benchmark dataset
(1)
bias mitigation
(1)
narrative generation
(1)
debiasing method
(1)
vision-language model
(1)
text prompt
(1)
knowledge extraction
(1)
Papers
PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
EACL 2026
SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL
ACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
Examining Alignment of Large Language Models through Representative Heuristics: the case of political stereotypes
ICLR 2025
Semantic Networks Extracted from Students’ Think-Aloud Data are Correlated with Students’ Learning Performance
EMNLP 2025
Tales of Morality: Comparing Human- and LLM-Generated Moral Stories from Visual Cues
EMNLP 2025
Beyond Binary Gender Labels: Revealing Gender Bias in LLMs through Gender-Neutral Name Predictions
ACL 2024
Detection and Mitigation of the Negative Impact of Dataset Extractivity on Abstractive Summarization
ACL 2023
Examining the Causal Impact of First Names on Language Models: The Case of Social Commonsense Reasoning
ACL 2023
StereoMap: Quantifying the Awareness of Human-like Stereotypes in Large Language Models
EMNLP 2023
Unlearning Bias in Language Models by Partitioning Gradients
ACL 2023
Raison d’être of the benchmark dataset: A Survey of Current Practices of Benchmark Dataset Sharing Platforms
ACL 2022
What changed? Investigating Debiasing Methods using Causal Mediation Analysis
NAACL 2022