1 citations · 1 across the 4 of their papers we have counts for
5 papers
Blackboard Intelligence Can Surpass Autoregressive on Globally Constrained Problems
Woosang Jeon, Jaeyeon Kim, Sham Kakade +6
Next-token prediction has driven remarkable progress in large language models, yet a growing body of evidence suggests that they can struggle on problems governed by complex global…
FRAME: Factored Retrieval via Attribute Readouts for Object-Centric Scene Memory
Woosang Jeon, Sanghyeok Choi, Minwoo Kim +2
Language-guided robots need persistent scene memories to follow instructions, revisit objects, and resolve references to objects encountered over time. While much of language-guide…
Multi-Drafter Speculative Decoding with Alignment Feedback
Taehyeon Kim, Hojung Jung, Se-Young Yun
Speculative decoding (SD) accelerates large language model (LLM) inference by using a smaller model to draft future tokens, which are then verified by the target LLM. This preserve…
SocraticKG: Knowledge Graph Construction via QA-Driven Fact Extraction
Sanghyeok Choi, Woosang Jeon, Kyuseok Yang +1
Constructing Knowledge Graphs (KGs) from unstructured text provides a structured framework for knowledge representation and reasoning, yet current LLM-based approaches struggle wit…
Knowledge Synthesis of Photosynthesis Research Using a Large Language Model
Seungri Yoon, Woosang Jeon, Sanghyeok Choi +2
The development of biological data analysis tools and large language models (LLMs) has opened up new possibilities for utilizing AI in plant science research, with the potential to…