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전체 논문

논문 317개
# Breakthrough in Neural Scaling Law

Personalized Parameter-Efficient Fine-Tuning of Foundation Models for Multimodal Recommendation

Sunwoo Kim, Hyunjin Hwang, Kijung Shin · WWW · 2026
# Breakthrough in Neural Scaling Law

Are Graph Transformers Necessary? Efficient Long-Range Message Passing with Fractal Nodes in MPNNs

Jeongwhan Choi, Seungjun Park, Sumin Park, Sung-Bae Cho, Noseong Park · AAAI · 2026
# Breakthrough in Neural Scaling Law

Learning Posterior Predictive Distributions for Node Classification from Synthetic Graph Priors

Jeongwhan Choi, Jongwoo Kim, Woosung Kang, Noseong Park · ICLR · 2026
# Breakthrough in Neural Scaling Law

Graph Signal Processing Meets Mamba2: Adaptive Filter Bank via Delta Modulation

Yehjin Shin, Seojin Kim, Noseong Park · ICLR · 2026
# Breakthrough in Neural Scaling Law

TF-CADE: Foreground-Concentrated Text-Video Alignment for Zero-Shot Temporal Action Detection

Yearang Lee, Ho-Joong Kim, Seong-Whan Lee · CVPR · 2026
# Breakthrough in Neural Scaling Law

PASCAL: A Phase-Aware Scheduling Algorithm for Serving Reasoning-based Large Language Models

Eunyeong Cho, Jehyeon Bang, Ranggi Hwang, Minsoo Rhu · HPCA · 2026
# Breakthrough in Neural Scaling Law

When to Ensemble: Identifying Token-Level Points for Stable and Fast LLM Ensembling

Heecheol Yun, Kwangmin Ki, Junghyun Lee, Eunho Yang · ICLR · 2026
# Breakthrough in Neural Scaling Law

No Prompt Left Behind: Exploiting Zero-Variance Prompts in LLM Reinforcement Learning via Entropy-Guided Advantage Shaping

Thanh-Long V. Le, Myeongho Jeon, Kim Vu, Viet Lai, Eunho Yang · ICLR · 2026
# Breakthrough in Neural Scaling Law

Beyond RAG vs. Long-Context: Learning Distraction-Aware Retrieval for Efficient Knowledge Grounding

Seongwoong Shim, Myunsoo Kim, Jae Hyeon Cho, Byung-Jun Lee · ICLR · 2026
# Breakthrough in Neural Scaling Law

SCAD: Super-Class-Aware Debiasing for Long-Tailed Semi-Supervised Learning

Sunguk Jang, Jinwoo Jeon, Byung-Jun Lee · ICLR · 2026