Cover Image

Domain-Agnostic Scalable AI Safety Ensuring Framework

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kim, Beomjun, Kim, Kangyeon, Kim, Sunwoo, Shin, Yeonsang, Ahn, Heejin
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Self-Supervised Mixture-of-Experts Framework for Multi-behavior Recommendation
by: Kim, Kyungho, et al.
Published: (2025)

AGDC: Autoregressive Generation of Variable-Length Sequences with Joint Discrete and Continuous Spaces
by: Shin, Yeonsang, et al.
Published: (2026)

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer
by: Hwang, Dongyeong, et al.
Published: (2024)

Deep Learning and Matrix Completion-aided IoT Network Localization in the Outlier Scenarios
by: Kim, Sunwoo
Published: (2025)

Multi-Behavior Recommender Systems: A Survey
by: Kim, Kyungho, et al.
Published: (2025)

ItemRAG: Item-Based Retrieval-Augmented Generation for LLM-Based Recommendation
by: Kim, Sunwoo, et al.
Published: (2025)

Multimodal Cognitive Reframing Therapy via Multi-hop Psychotherapeutic Reasoning
by: Kim, Subin, et al.
Published: (2025)

Feature-Centric Unsupervised Node Representation Learning Without Homophily Assumption
by: Kim, Sunwoo, et al.
Published: (2025)

ExComm: Exploration-Stage Communication for Error-Resilient Agentic Test-Time Scaling
by: Song, Woomin, et al.
Published: (2026)

Autoregressive Score Generation for Multi-trait Essay Scoring
by: Do, Heejin, et al.
Published: (2024)

Test-time Alignment of Diffusion Models without Reward Over-optimization
by: Kim, Sunwoo, et al.
Published: (2025)

PRISM: Breaking the O(n) Memory Wall in Long-Context LLM Inference via O(1) Photonic Block Selection
by: Park, Hyoseok, et al.
Published: (2026)

PASTA: A Scalable Framework for Multi-Policy AI Compliance Evaluation
by: Yang, Yu, et al.
Published: (2026)

Society of Mind Meets Real-Time Strategy: A Hierarchical Multi-Agent Framework for Strategic Reasoning
by: Ahn, Daechul, et al.
Published: (2025)

Effective Test-Time Scaling of Discrete Diffusion through Iterative Refinement
by: Lee, Sanghyun, et al.
Published: (2025)

Scalable and Robust LLM Unlearning by Correcting Responses with Retrieved Exclusions
by: Kim, Junbeom, et al.
Published: (2025)

A Training-Free, Task-Agnostic Framework for Enhancing MLLM Performance on High-Resolution Images
by: Lee, Jaeseong, et al.
Published: (2025)

Peri-LN: Revisiting Normalization Layer in the Transformer Architecture
by: Kim, Jeonghoon, et al.
Published: (2025)

Subtle Risks, Critical Failures: A Framework for Diagnosing Physical Safety of LLMs for Embodied Decision Making
by: Son, Yejin, et al.
Published: (2025)

Dooly: Configuration-Agnostic, Redundancy-Aware Profiling for LLM Inference Simulation
by: Kim, Joon Ha, et al.
Published: (2026)

High-order Equivariant Flow Matching for Density Functional Theory Hamiltonian Prediction
by: Kim, Seongsu, et al.
Published: (2025)

Prompt Complexity Dilutes Structured Reasoning: A Follow-Up Study on the Car Wash Problem
by: Jo, Heejin
Published: (2026)

MambaEye: A Size-Agnostic Visual Encoder with Causal Sequential Processing
by: Choi, Changho, et al.
Published: (2025)

From Pragmas to Partners: A Symbiotic Evolution of Agentic High-Level Synthesis
by: Zhang, Niansong, et al.
Published: (2026)

A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting
by: Park, Young-Jin, et al.
Published: (2024)

Safety-Guided Flow (SGF): A Unified Framework for Negative Guidance in Safe Generation
by: Kim, Mingyu, et al.
Published: (2026)

Exploring Iterative Controllable Summarization with Large Language Models
by: Ryu, Sangwon, et al.
Published: (2024)

From Accuracy to Impact: The Impact-Driven AI Framework (IDAIF) for Aligning Engineering Architecture with Theory of Change
by: Kim, Yong-Woon
Published: (2025)

Towards Guaranteed Safe AI: A Framework for Ensuring Robust and Reliable AI Systems
by: Dalrymple, David "davidad", et al.
Published: (2024)

System 2 Reasoning for Human-AI Alignment: Generality and Adaptivity via ARC-AGI
by: Kim, Sejin, et al.
Published: (2024)

Agent-X: Full Pipeline Acceleration of On-device AI Agents
by: Chung, Jinha, et al.
Published: (2026)

Atom-level Protein Representation Learning Improves Protein Structure Prediction
by: Kim, Taewon, et al.
Published: (2026)

Multi-Facet Blending for Faceted Query-by-Example Retrieval
by: Do, Heejin, et al.
Published: (2024)

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
by: Shin, Sangwoo, et al.
Published: (2024)

Disrupting Cognitive Passivity: Rethinking AI-Assisted Data Literacy through Cognitive Alignment
by: Ahn, Yongsu, et al.
Published: (2026)

Prompt Architecture Determines Reasoning Quality: A Variable Isolation Study on the Car Wash Problem
by: Jo, Heejin
Published: (2026)

MoSSDA: A Semi-Supervised Domain Adaptation Framework for Multivariate Time-Series Classification using Momentum Encoder
by: Kim, Seonyoung, et al.
Published: (2025)

Safety-Preserving PTQ via Contrastive Alignment Loss
by: Wee, Sunghyun, et al.
Published: (2025)

Generative Modeling of Class Probability for Multi-Modal Representation Learning
by: Shin, Jungkyoo, et al.
Published: (2025)

Defending MoE LLMs against Harmful Fine-Tuning via Safety Routing Alignment
by: Kim, Jaehan, et al.
Published: (2025)