Daily Arxiv

전 세계에서 발간되는 인공지능 관련 논문을 정리하는 페이지 입니다.
본 페이지는 Google Gemini를 활용해 요약 정리하며, 비영리로 운영 됩니다.
논문에 대한 저작권은 저자 및 해당 기관에 있으며, 공유 시 출처만 명기하면 됩니다.

IG Parser: A Software Package for the Encoding of Institutional Statements using the Institutional Grammar

One-Step Offline Distillation of Diffusion-based Models via Koopman Modeling

J4R: Learning to Judge with Equivalent Initial State Group Relative Policy Optimization

Evaluating the efficacy of LLM Safety Solutions : The Palit Benchmark Dataset

From Assistants to Adversaries: Exploring the Security Risks of Mobile LLM Agents

Leveraging LLM Inconsistency to Boost Pass@k Performance

Sinusoidal Initialization, Time for a New Start

Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding

Any-to-Any Learning in Computational Pathology via Triplet Multimodal Pretraining

Predicting Turn-Taking and Backchannel in Human-Machine Conversations Using Linguistic, Acoustic, and Visual Signals

ChromFound: Towards A Universal Foundation Model for Single-Cell Chromatin Accessibility Data

IP Leakage Attacks Targeting LLM-Based Multi-Agent Systems

RoboFAC: A Comprehensive Framework for Robotic Failure Analysis and Correction

LLM-DSE: Searching Accelerator Parameters with LLM Agents

Online Iterative Self-Alignment for Radiology Report Generation

Reachability Barrier Networks: Learning Hamilton-Jacobi Solutions for Smooth and Flexible Control Barrier Functions

Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts

BioCube: A Multimodal Dataset for Biodiversity Research

One Shot Dominance: Knowledge Poisoning Attack on Retrieval-Augmented Generation Systems

TCC-Bench: Benchmarking the Traditional Chinese Culture Understanding Capabilities of MLLMs

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

GRoQ-Loco: Generalist and Robot-agnostic Quadruped Locomotion Control using Offline Datasets

Who You Are Matters: Bridging Topics and Social Roles via LLM-Enhanced Logical Recommendation

Artificial Intelligence Bias on English Language Learners in Automatic Scoring

Learning Long-Context Diffusion Policies via Past-Token Prediction

Fast Text-to-Audio Generation with Adversarial Post-Training

Unified Continuous Generative Models

Can LLM-based Financial Investing Strategies Outperform the Market in Long Run?

Technical Report: Quantifying and Analyzing the Generalization Power of a DNN

Prompting Large Language Models for Training-Free Non-Intrusive Load Monitoring

On-Device LLM for Context-Aware Wi-Fi Roaming

Efficient Fine-Tuning of Quantized Models via Adaptive Rank and Bitwidth

Understanding University Students' Use of Generative AI: The Roles of Demographics and Personality Traits

Adaptive Thinking via Mode Policy Optimization for Social Language Agents

LLM-hRIC: LLM-empowered Hierarchical RAN Intelligent Control for O-RAN

On the Boolean Network Theory of Datalog$^\neg$

Learning to Reason under Off-Policy Guidance

How Effective Can Dropout Be in Multiple Instance Learning ?

Learning Joint ID-Textual Representation for ID-Preserving Image Synthesis

Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations

Cross-Document Cross-Lingual NLI via RST-Enhanced Graph Fusion and Interpretability Prediction

S1-Bench: A Simple Benchmark for Evaluating System 1 Thinking Capability of Large Reasoning Models

Beyond Self-Reports: Multi-Observer Agents for Personality Assessment in Large Language Models

Scaling Video-Language Models to 10K Frames via Hierarchical Differential Distillation

Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decoding

Breaking Language Barriers in Visual Language Models via Multilingual Textual Regularization

LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions

Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis

CRCE: Coreference-Retention Concept Erasure in Text-to-Image Diffusion Models

LED: LLM Enhanced Open-Vocabulary Object Detection without Human Curated Data Generation

MirrorShield: Towards Universal Defense Against Jailbreaks via Entropy-Guided Mirror Crafting

HICD: Hallucination-Inducing via Attention Dispersion for Contrastive Decoding to Mitigate Hallucinations in Large Language Models

RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs

Language Models, Graph Searching, and Supervision Adulteration: When More Supervision is Less and How to Make More More

Cost-Optimal Grouped-Query Attention for Long-Context Modeling

Beyond Matryoshka: Revisiting Sparse Coding for Adaptive Representation

On the Vulnerability of Concept Erasure in Diffusion Models

Char-mander Use mBackdoor! A Study of Cross-lingual Backdoor Attacks in Multilingual LLMs

SQLong: Enhanced NL2SQL for Longer Contexts with LLMs

DiffSampling: Enhancing Diversity and Accuracy in Neural Text Generation

TreeCut: A Synthetic Unanswerable Math Word Problem Dataset for LLM Hallucination Evaluation

Attention Mechanism for LLM-based Agents Dynamic Diffusion under Information Asymmetry

Robust Adaptation of Large Multimodal Models for Retrieval Augmented Hateful Meme Detection

R2-KG: General-Purpose Dual-Agent Framework for Reliable Reasoning on Knowledge Graphs

DeepResonance: Enhancing Multimodal Music Understanding via Music-centric Multi-way Instruction Tuning

MomentSeeker: A Task-Oriented Benchmark For Long-Video Moment Retrieval

EquiBench: Benchmarking Large Language Models' Understanding of Program Semantics via Equivalence Checking

EssayJudge: A Multi-Granular Benchmark for Assessing Automated Essay Scoring Capabilities of Multimodal Large Language Models

Uncovering Untapped Potential in Sample-Efficient World Model Agents

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models

CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation

AI-driven Personalized Privacy Assistants: a Systematic Literature Review

Early Risk Prediction of Pediatric Cardiac Arrest from Electronic Health Records via Multimodal Fused Transformer

Online Scheduling for LLM Inference with KV Cache Constraints

Uni-Retrieval: A Multi-Style Retrieval Framework for STEM's Education

Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation

Latent Action Learning Requires Supervision in the Presence of Distractors

Redefining Machine Unlearning: A Conformal Prediction-Motivated Approach

On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning

People who frequently use ChatGPT for writing tasks are accurate and robust detectors of AI-generated text

NBDI: A Simple and Effective Termination Condition for Skill Extraction from Task-Agnostic Demonstrations

MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents

Building Symbiotic AI: Reviewing the AI Act for a Human-Centred, Principle-Based Framework

TiEBe: Tracking Language Model Recall of Notable Worldwide Events Through Time

xLSTM-SENet: xLSTM for Single-Channel Speech Enhancement

A Separable Self-attention Inspired by the State Space Model for Computer Vision

Cross-model Transferability among Large Language Models on the Platonic Representations of Concepts

KunServe: Efficient Parameter-centric Memory Management for LLM Serving

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension

Can LLMs be Good Graph Judge for Knowledge Graph Construction?

RoCoDA: Counterfactual Data Augmentation for Data-Efficient Robot Learning from Demonstrations

Rate, Explain and Cite (REC): Enhanced Explanation and Attribution in Automatic Evaluation by Large Language Models

Knowledge-Guided Prompt Learning for Request Quality Assurance in Public Code Review

Scaling Stick-Breaking Attention: An Efficient Implementation and In-depth Study

M-RewardBench: Evaluating Reward Models in Multilingual Settings

Unlearning Backdoor Attacks for LLMs with Weak-to-Strong Knowledge Distillation

RATE: Causal Explainability of Reward Models with Imperfect Counterfactuals

Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning

Large Continual Instruction Assistant

TopoTune : A Framework for Generalized Combinatorial Complex Neural Networks

Resource Allocation for RIS-Assisted CoMP-NOMA Networks using Reinforcement Learning

Created by

Haebom

저자

Muhammad Umer, Muhammad Ahmed Mohsin, Huma Ghafoor, Syed Ali Hassan

개요

본 논문은 6G 무선 네트워크의 데이터 전송률, 주파수 효율, 커버리지 향상을 위해 STAR-RIS, CoMP, NOMA 기술의 시너지 효과를 연구합니다. STAR-RIS를 전략적으로 배치하여 간섭을 완화하고 신호 강도를 높이며, 셀 가장자리 사용자의 커버리지를 확장하는 성능 향상을 분석합니다. STAR-RIS 요소의 자원 공유 전략을 탐구하고, 현실적인 채널 조건 하에서 STAR-RIS 기반 CoMP-NOMA 네트워크의 이점을 정량화하기 위한 분석적 프레임워크를 개발하여 에르고딕 속도 및 단절 확률과 같은 주요 성능 지표를 도출합니다. 또한, 에너지 효율적인 설계 방법을 제시하고, 항공 RIS 기반 CoMP-NOMA 네트워크에서 심층 강화 학습(DRL) 기술을 적용하여 네트워크 합계 속도를 극대화하고 사용자 QoS 요구 사항을 충족하는 방안을 탐색합니다.

시사점, 한계점

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시사점:

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STAR-RIS, CoMP, NOMA 기술의 시너지 효과를 활용한 6G 무선 네트워크 설계에 대한 통찰력 제공.

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STAR-RIS 기반 CoMP-NOMA 네트워크의 성능 향상 및 에너지 효율 향상 방안 제시.

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DRL 기반 지능형 및 적응형 최적화를 통한 네트워크 성능 향상 가능성 제시.

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한계점:

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실제 환경에서의 실험 검증 부족.

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제안된 알고리즘의 복잡도 및 계산 비용에 대한 분석 부족.

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다양한 채널 모델 및 시나리오에 대한 포괄적인 성능 평가 부족.

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