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Yejin Choi — most-cited papers & profile · Large Language Models
← authors
·
overview
Yejin Choi
36
papers ·
733
citations ·
77
h-index
Korea Institute of Industrial Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Quantifying Language Models' Sensitivity To Spurious Features In Prompt Design Or: How I Learned To Start Worrying About Prompt Formatting
2023 · 662 citations
Symbolic Working Memory Enhances Language Models For Complex Rule Application
2024 · 20 citations
The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning
2023 · 10 citations
HALoGEN: Fantastic LLM Hallucinations and Where to Find Them
2025 · 5 citations
When to Trust Context: Self-Reflective Debates for Context Reliability
2025
WildHallucinations: Evaluating Long-form Factuality in LLMs with Real-World Entity Queries
2024
Impossible Distillation: from Low-Quality Model to High-Quality Dataset & Model for Summarization and Paraphrasing
2023
Tailoring Self-Rationalizers with Multi-Reward Distillation
2023
Tuning Language Models by Proxy
2024
RewardBench: Evaluating Reward Models for Language Modeling
2024
Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing
2024
Top co-authors
Abhilasha Ravichander
· 3
Bill Yuchen Lin
· 3
Khyathi Chandu
· 3
Ximing Lu
· 3
Liwei Jiang
· 2
Melanie Sclar
· 2
Noah A. Smith
· 2
Nouha Dziri
· 2
Yulia Tsvetkov
· 2
Yuntian Deng
· 2
Aaron Chan
· 1
Alisa Liu
· 1
Topics
Evaluation
Safety & Alignment
Training Techniques
Prompting
Fine-Tuning
Model Architecture
Vision-Language
In-Context Learning
Efficiency
Reinforcement Learning