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Academic · 약 1분

Does Unification Come at a Cost? Uni-SafeBench: A Safety Benchmark for Unified Multimodal Large Models

arXiv:2604.00547v1 Announce Type: new Abstract: Unified Multimodal Large Models (UMLMs) integrate understanding and generation capabilities within a single architecture. While this architectural unification, driven by …

Zixiang Peng, Yongxiu Xu, Qinyi Zhang, Jiexun Shen, Yifan Zhang, Hongbo Xu, Yubin Wang, Gaopeng Gou

조회수 30회 04.03

Academic · 약 1분

More Human, More Efficient: Aligning Annotations with Quantized SLMs

arXiv:2604.00586v1 Announce Type: new Abstract: As Large Language Model (LLM) capabilities advance, the demand for high-quality annotation of exponentially increasing text corpora has outpaced human …

Jiayu Wang, Junyoung Lee

조회수 79회 04.03

Academic · 약 1분

Collaborative AI Agents and Critics for Fault Detection and Cause Analysis in Network Telemetry

arXiv:2604.00319v1 Announce Type: new Abstract: We develop algorithms for collaborative control of AI agents and critics in a multi-actor, multi-critic federated multi-agent system. Each AI …

Syed Eqbal Alam, Zhan Shu

조회수 92회 04.03

Academic · 약 1분

Signals: Trajectory Sampling and Triage for Agentic Interactions

arXiv:2604.00356v1 Announce Type: new Abstract: Agentic applications based on large language models increasingly rely on multi-step interaction loops involving planning, action execution, and environment feedback. …

Shuguang Chen, Adil Hafeez, Salman Paracha

조회수 189회 04.03

Academic · 약 1분

CircuitProbe: Predicting Reasoning Circuits in Transformers via Stability Zone Detection

arXiv:2604.00716v1 Announce Type: new Abstract: Transformer language models contain localized reasoning circuits, contiguous layer blocks that improve reasoning when duplicated at inference time. Finding these …

Rajkiran Panuganti

조회수 28회 04.03

Academic · 약 1분

CRIT: Graph-Based Automatic Data Synthesis to Enhance Cross-Modal Multi-Hop Reasoning

arXiv:2604.01634v1 Announce Type: new Abstract: Real-world reasoning often requires combining information across modalities, connecting textual context with visual cues in a multi-hop process. Yet, most …

Junyoung Sung, Seungwoo Lyu, Minjun Kim, Sumin An, Arsha Nagrani, Paul Hongsuck Seo

조회수 36회 04.03

Academic · 약 1분

Efficient and Principled Scientific Discovery through Bayesian Optimization: A Tutorial

arXiv:2604.01328v1 Announce Type: new Abstract: Traditional scientific discovery relies on an iterative hypothesise-experiment-refine cycle that has driven progress for centuries, but its intuitive, ad-hoc implementation …

Zhongwei Yu, Rasul Tutunov, Alexandre Max Maraval, Zikai Xie, Zhenzhi Tan, Jiankang Wang, Zijing Li, Liangliang Xu, Qi Yang, Jun Jiang, Sanzhong Luo, Zhenxiao Guo, Haitham Bou-Ammar, Jun Wang

조회수 50회 04.03

Academic · 약 1분

Think Twice Before You Write -- an Entropy-based Decoding Strategy to Enhance LLM Reasoning

arXiv:2604.00018v1 Announce Type: cross Abstract: Decoding strategies play a central role in shaping the reasoning ability of large language models (LLMs). Traditional methods such as …

Jiashu He, Meizhu Liu, Olaitan P Olaleye, Amit Agarwal, M. Avendi, Yassi Abbasi, Matthew Rowe, Hitesh Laxmichand Patel, Paul Li, Tao Sheng, Sujith Ravi, Dan Roth

조회수 58회 04.03

Academic · 약 1분

Preference Guided Iterated Pareto Referent Optimisation for Accessible Route Planning

arXiv:2604.00795v1 Announce Type: new Abstract: We propose the Preference Guided Iterated Pareto Referent Optimisation (PG-IPRO) for urban route planning for people with different accessibility requirements …

Paolo Speziali, Arno De Greef, Mehrdad Asadi, Willem R\"opke, Ann Now\'e, Diederik M. Roijers

조회수 40회 04.03

Academic · 약 1분

JetPrism: diagnosing convergence for generative simulation and inverse problems in nuclear physics

arXiv:2604.01313v1 Announce Type: new Abstract: High-fidelity Monte Carlo simulations and complex inverse problems, such as mapping smeared experimental observations to ground-truth states, are computationally intensive …

Zeyu Xia, Tyler Kim, Trevor Reed, Judy Fox, Geoffrey Fox, Adam Szczepaniak

조회수 48회 04.03

Academic · 약 1분

Training In-Context and In-Weights Mixtures Via Contrastive Context Sampling

arXiv:2604.01601v1 Announce Type: new Abstract: We investigate training strategies that co-develop in-context learning (ICL) and in-weights learning (IWL), and the ability to switch between them …

Deeptanshu Malu, Deevyanshu Malu, Aditya Nemiwal, Sunita Sarawagi

조회수 40회 04.03

Academic · 약 1분

CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift

arXiv:2604.01845v1 Announce Type: new Abstract: Multivariate time-series anomaly detection (MTSAD) aims to identify deviations from normality in multivariate time-series and is critical in real-world applications. …

HyunGi Kim, Jisoo Mok, Hyungyu Lee, Juhyeon Shin, Sungroh Yoon

조회수 67회 04.03

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