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Yejin Choi — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Yejin Choi
19
papers ·
255
citations ·
77
h-index
Korea Institute of Industrial Technology
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Is Reinforcement Learning (Not) for Natural Language Processing: Benchmarks, Baselines, and Building Blocks for Natural Language Policy Optimization
2022 · 54 citations
Quark: Controllable Text Generation with Reinforced Unlearning
2022 · 45 citations
Do Embodied Agents Dream of Pixelated Sheep: Embodied Decision Making using Language Guided World Modelling
2023 · 9 citations
RewardBench: Evaluating Reward Models for Language Modeling
2024 · 5 citations
From Supervision to Exploration: What Does Protein Language Model Learn During Reinforcement Learning?
2025 · 1 citations
BroRL: Scaling Reinforcement Learning via Broadened Exploration
2025
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
2025
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
2025
Top co-authors
Ximing Lu
· 4
Hannaneh Hajishirzi
· 3
Prithviraj Ammanabrolu
· 3
Jack Hessel
· 2
Jan Kautz
· 2
Mingjie Liu
· 2
Pavlo Molchanov
· 2
Shizhe Diao
· 2
Aaron Tu
· 1
Alane Suhr
· 1
Bill Yuchen Lin
· 1
Cesar de la Fuente-Nunez
· 1
Topics
Model-Based RL
RLHF & Alignment
Exploration
Policy Gradient
Value-Based
Safe RL
Game AI