선도 연구 주제

전체 논문

NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

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전체 논문

논문 317개
# Breakthrough in Neural Scaling Law

FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment

Myunsoo Kim, Seongwoong Shim, Byung-Jun Lee · CVPR · 2026
# Breakthrough in Neural Scaling Law

An Information Theoretic Evaluation Metric for Strong Unlearning

Dongjae Jeon, Wonje Jeung, Taeheon Kim, Albert No, Jonghyun Choi · AAAI · 2026
# Breakthrough in Neural Scaling Law

A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models

Wonje Jeung, Sangyeon Yoon, Yoonjun Cho, Dongjae Jeon, Sangwoo Shin, Hyesoo Hong, Albert No · ICLR · 2026
# Breakthrough in Neural Scaling Law

Rethinking Benign Relearning: Syntax as the Hidden Driver of Unlearning Failures

Sangyeon Yoon, Hyesoo Hong, Wonje Jeung, Albert No · ICLR · 2026
# Breakthrough in Neural Scaling Law

Memorization In Stable Diffusion Is Unexpectedly Driven by CLIP Embeddings

Bumjun Kim, Albert No · CVPR Findings · 2026
# Breakthrough in Neural Scaling Law

Dependency-Aware Parallel Decoding via Attention for Diffusion LLMs

Bumjun Kim, Dongjae Jeon, Moongyu Jeon, Albert No · ICML · 2026
# Breakthrough in Neural Scaling Law

Preserve-Then-Quantize: Balancing Rank Budgets for Quantization Error Reconstruction in LLMs

Yoonjun Cho, Dongjae Jeon, Soeun Kim, Moongyu Jeon, Albert No · ICML · 2026
# Breakthrough in Neural Scaling Law

dgMARK: Decoding-Guided Watermarking for Diffusion Language Models

Pyo Min Hong, Albert No · ICML · 2026
# Breakthrough in Neural Scaling Law

Combinatorial Rising Bandits

Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok · ICLR · 2026
# Breakthrough in Neural Scaling Law

ChimeraLoRA: Multi-Head LoRA-Guided Synthetic Datasets

Hoyoung Kim, Minwoo Jang, Jabin Koo, Sangdoo Yun, Jungseul Ok · CVPR · 2026