5 papers
Reasoning by Commented Code for Table Question Answering
Seho Pyo, Jiheon Seok, Jaejin Lee
Table Question Answering (TableQA) poses a significant challenge for large language models (LLMs) because conventional linearization of tables often disrupts the two-dimensional re…
MNM : Multi-level Neuroimaging Meta-analysis with Hyperbolic Brain-Text Representations
Seunghun Baek, Jaejin Lee, Jaeyoon Sim +2
Various neuroimaging studies suffer from small sample size problem which often limit their reliability. Meta-analysis addresses this challenge by aggregating findings from differen…
KLAAD: Refining Attention Mechanisms to Reduce Societal Bias in Generative Language Models
Seorin Kim, Dongyoung Lee, Jaejin Lee
Large language models (LLMs) often exhibit societal biases in their outputs, prompting ethical concerns regarding fairness and harm. In this work, we propose KLAAD (KL-Attention Al…
PPMI: Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases
Yubeen Bae, Minchan Kim, Jaejin Lee +4
Large language models (LLMs) are increasingly used as personal agents, accessing sensitive user data such as calendars, emails, and medical records. Users currently face a trade-of…
Attention-based Reinforcement Learning for Combinatorial Optimization: Application to Job Shop Scheduling Problem
Jaejin Lee, Seho Kee, Mani Janakiram +1
Job shop scheduling problems represent a significant and complex facet of combinatorial optimization problems, which have traditionally been addressed through either exact or appro…