Seonghyeon Ye
21 papers · 2021–2025 · 8 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(12)
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(2)
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Mega-Team Β· Squad
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The Questioner
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Unstoppable Β· Bronze
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Century Club Β· Bronze
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Prolific Year Β· Productive
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Keyword Collector
(88)
Top co-authors
Research topics
Machine Learning
(15)
Natural Language Processing
(15)
Artificial Intelligence
(12)
Resources & Methods
(11)
Deep Learning
(10)
Learning Types Β· Machine Learning
(10)
Core AI
(9)
Learning Types Β· Deep Learning
(7)
Learning Paradigms
(6)
Generation
(4)
Models
(4)
Application Areas
(3)
Optimization & Theory
(3)
Reinforcement Learning
(2)
Robotics
(2)
Keywords
language model
(5)
instruction following
(4)
large language model
(4)
zero-shot generalization
(3)
zero-shot learning
(3)
instruction tuning
(3)
continual learning
(2)
knowledge updating
(2)
transfer learning
(2)
temporal knowledge
(2)
few-shot learning
(2)
world knowledge
(2)
generalization
(2)
robot manipulation
(2)
chain of thought
(2)
language model evaluation
(1)
factual knowledge
(1)
unsupervised pretraining
(1)
multimodal learning
(1)
text generation
(1)
Papers
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025
DreamGen: Unlocking Generalization in Robot Learning through Video World Models
CoRL 2025
FLARE: Robot Learning with Implicit World Modeling
CoRL 2025
Latent Action Pretraining from Videos
ICLR 2025
Magma: A Foundation Model for Multimodal AI Agents
CVPR 2025
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
NAACL 2025
Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models
NAACL 2024
Consent in Crisis: The Rapid Decline of the AI Data Commons
NeurIPS 2024
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
ICLR 2024
How Do Large Language Models Acquire Factual Knowledge During Pretraining?
NeurIPS 2024
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
EMNLP 2024
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
AAAI 2024
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
EMNLP 2024
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
EMNLP 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
ICLR 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
EMNLP 2022
Towards Continual Knowledge Learning of Language Models
ICLR 2022
Dimensional Emotion Detection from Categorical Emotion
EMNLP 2021
Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
EMNLP 2021