3 papers
cs.LG2026
GlueNN: gluing patchwise analytic solutions with neural networks
Doyoung Kim, Donghee Lee, Hye-Sung Lee +2
In the analysis of complex physical systems, the objective often extends beyond merely computing a numerical solution to capturing the precise crossover between different regimes a…
cs.CV2025
BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?
DoYoung Kim, Jin-Seop Lee, Noo-ri Kim +2
Recent advances in model compression have highlighted the potential of low-bit precision techniques, with Binary Neural Networks (BNNs) attracting attention for their extreme effic…
cs.CL2025
References Indeed Matter? Reference-Free Preference Optimization for Conversational Query Reformulation
Doyoung Kim, Youngjun Lee, Joeun Kim +4
Conversational query reformulation (CQR) has become indispensable for improving retrieval in dialogue-based applications. However, existing approaches typically rely on reference p…