1 citations · 1 across the 2 of their papers we have counts for
7 papers
Soohak: A Mathematician-Curated Benchmark for Evaluating Research-level Math Capabilities of LLMs
Guijin Son, Seungone Kim, Catherine Arnett +73
Following the recent achievement of gold-medal performance on the IMO by frontier LLMs, the community is searching for the next meaningful and challenging target for measuring LLM…
Learning to Translate Noise for Robust Image Denoising
Inju Ha, Donghun Ryou, Seonguk Seo +1
Deep learning-based image denoising techniques often struggle with poor generalization performance to out-of-distribution real-world noise. To tackle this challenge, we propose a n…
Fine-Grained Captioning of Long Videos through Scene Graph Consolidation
Sanghyeok Chu, Seonguk Seo, Bohyung Han
Recent advances in vision-language models have led to impressive progress in caption generation for images and short video clips. However, these models remain constrained by their…
Revisiting Machine Unlearning with Dimensional Alignment
Seonguk Seo, Dongwan Kim, Bohyung Han
Machine unlearning, an emerging research topic focusing on compliance with data privacy regulations, enables trained models to remove the information learned from specific data. Wh…
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling
Seonguk Seo, Bohyung Han
Group distributionally robust optimization, which aims to improve robust accuracies -- worst-group and unbiased accuracies -- is a prominent algorithm used to mitigate spurious cor…
Metric Compatible Training for Online Backfilling in Large-Scale Retrieval
Seonguk Seo, Mustafa Gokhan Uzunbas, Bohyung Han +2
Backfilling is the process of re-extracting all gallery embeddings from upgraded models in image retrieval systems. It inevitably requires a prohibitively large amount of computati…