Seungone Kim
22 papers · 2022–2025 · 8 venues · across top CS/AI venues
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Dynamic Duo
(10)
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Research topics
Artificial Intelligence
(18)
Natural Language Processing
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Resources & Methods
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Machine Learning
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Learning Types · Machine Learning
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Deep Learning
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Application Areas
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Generation
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Models
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Applications · Natural Language Processing
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Computer Vision
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Keywords
large language model
(11)
language model
(5)
instruction following
(5)
instruction tuning
(4)
model evaluation
(3)
chain of thought
(3)
language model evaluation
(3)
zero-shot learning
(2)
benchmark evaluation
(2)
fine-grained evaluation
(2)
text classification
(1)
language model adaptation
(1)
text generation
(1)
commonsense knowledge
(1)
transfer learning
(1)
multilingual nlp
(1)
llm evaluation
(1)
preference alignment
(1)
few-shot learning
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dialogue safety
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Papers
Better Instruction-Following Through Minimum Bayes Risk
ICLR 2025
Bridging the Data Provenance Gap Across Text, Speech, and Video
ICLR 2025
Evaluating Language Models as Synthetic Data Generators
ACL 2025
KMMLU: Measuring Massive Multitask Language Understanding in Korean
NAACL 2025
LLM-as-an-Interviewer: Beyond Static Testing Through Dynamic LLM Evaluation
ACL 2025
Measuring Sycophancy of Language Models in Multi-turn Dialogues
EMNLP 2025
Pangea: A Fully Open Multilingual Multimodal LLM for 39 Languages
ICLR 2025
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
NAACL 2025
Aligning to Thousands of Preferences via System Message Generalization
NeurIPS 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
LangBridge: Multilingual Reasoning Without Multilingual Supervision
ACL 2024
Language Models as Compilers: Simulating Pseudocode Execution Improves Algorithmic Reasoning in Language Models
EMNLP 2024
Multi-Task Inference: Can Large Language Models Follow Multiple Instructions at Once?
ACL 2024
Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
EMNLP 2024
Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models
ICLR 2024
Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation
ACL 2024
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards
EMNLP 2024
CoTEVer: Chain of Thought Prompting Annotation Toolkit for Explanation Verification
EACL 2023
Exploring the Benefits of Training Expert Language Models over Instruction Tuning
ICML 2023
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning
EMNLP 2023
Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization
COLING 2022