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ACCeLLiuM: Supervised Fine-Tuning for Automated OpenACC Pragma Generation

AnchDrive: Bootstrapping Diffusion Policies with Hybrid Trajectory Anchors for End-to-End Driving

Diffusion-Augmented Contrastive Learning: A Noise-Robust Encoder for Biosignal Representations

FusedANN: Convexified Hybrid ANN via Attribute-Vector Fusion

HiCoLoRA: Addressing Context-Prompt Misalignment via Hierarchical Collaborative LoRA for Zero-Shot DST

A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts

TimeMosaic: Temporal Heterogeneity Guided Time Series Forecasting via Adaptive Granularity Patch and Segment-wise Decoding

Automated Facility Enumeration for Building Compliance Checking using Door Detection and Large Language Models

Dendritic Resonate-and-Fire Neuron for Effective and Efficient Long Sequence Modeling

Comparing RAG and GraphRAG for Page-Level Retrieval Question Answering on Math Textbook

RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation

Distribution-Aligned Decoding for Efficient LLM Task Adaptation

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models

Recent Advancements in Microscopy Image Enhancement using Deep Learning: A Survey

Constructive Conflict-Driven Multi-Agent Reinforcement Learning for Strategic Diversity

Towards a Physics Foundation Model

Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews

Positional Encoding via Token-Aware Phase Attention

Chain or tree? Re-evaluating complex reasoning from the perspective of a matrix of thought

A Two-Stage Strategy for Mitosis Detection Using Improved YOLO11x Proposals and ConvNeXt Classification

JudgeAgent: Knowledge-wise and Dynamic LLM Evaluation with Agent-as-Interviewer

Draw-In-Mind: Rebalancing Designer-Painter Roles in Unified Multimodal Models Benefits Image Editing

Scalable Option Learning in High-Throughput Environments

"She was useful, but a bit too optimistic": Augmenting Design with Interactive Virtual Personas

In-Context Algorithm Emulation in Fixed-Weight Transformers

Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling

Sparse but Wrong: Incorrect L0 Leads to Incorrect Features in Sparse Autoencoders

Conflict-Aware Soft Prompting for Retrieval-Augmented Generation

ERIS: An Energy-Guided Feature Disentanglement Framework for Out-of-Distribution Time Series Classification

StreetReaderAI: Making Street View Accessible Using Context-Aware Multimodal AI

Graph is a Natural Regularization: Revisiting Vector Quantization for Graph Representation Learning

Intuition emerges in Maximum Caliber models at criticality

GTPO and GRPO-S: Token and Sequence-Level Reward Shaping with Policy Entropy

Hallucination to Truth: A Review of Fact-Checking and Factuality Evaluation in Large Language Models

Decentralized Aerial Manipulation of a Cable-Suspended Load using Multi-Agent Reinforcement Learning

SpectrumWorld: Artificial Intelligence Foundation for Spectroscopy

DAMR: Efficient and Adaptive Context-Aware Knowledge Graph Question Answering with LLM-Guided MCTS

Generative Logic: A New Computer Architecture for Deterministic Reasoning and Knowledge Generation

Persona-Augmented Benchmarking: Evaluating LLMs Across Diverse Writing Styles

Hierarchical Graph Neural Network for Compressed Speech Steganalysis

R-Stitch: Dynamic Trajectory Stitching for Efficient Reasoning

The Invisible Leash: Why RLVR May or May Not Escape Its Origin

APTx Neuron: A Unified Trainable Neuron Architecture Integrating Activation and Computation

LoopServe: An Adaptive Dual-phase LLM Inference Acceleration System for Multi-Turn Dialogues

Rethinking the Embodied Gap in Vision-and-Language Navigation: A Holistic Study of Physical and Visual Disparities

KV Cache Steering for Controlling Frozen LLMs

Lightweight MSA Design Advances Protein Folding From Evolutionary Embeddings

Learn Globally, Speak Locally: Bridging the Gaps in Multilingual Reasoning

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions

Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders

Neural-Network solver of ideal MHD equilibria

Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective

Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs

On the Necessity of Output Distribution Reweighting for Effective Class Unlearning

TAMMs: Temporal-Aware Multimodal Model for Satellite Image Change Understanding and Forecasting

Latent Concept Disentanglement in Transformer-based Language Models

Personalized LLM Decoding via Contrasting Personal Preference

Exploiting Block Coordinate Descent for Cost-Effective LLM Model Training

Security Degradation in Iterative AI Code Generation -- A Systematic Analysis of the Paradox

Think With Videos For Agentic Long-Video Understanding

VidBridge-R1: Bridging QA and Captioning for RL-based Video Understanding Models with Intermediate Proxy Tasks

Position: Simulating Society Requires Simulating Thought

AMPED: Adaptive Multi-objective Projection for balancing Exploration and skill Diversification

DriveAction: A Benchmark for Exploring Human-like Driving Decisions in VLA Models

Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement

Dual Branch VideoMamba with Gated Class Token Fusion for Violence Detection

CapSpeech: Enabling Downstream Applications in Style-Captioned Text-to-Speech

Physics-Guided Motion Loss for Video Generation Model

Probing Neural Topology of Large Language Models

InfiMed: Low-Resource Medical MLLMs with Advancing Understanding and Reasoning

Mamba Integrated with Physics Principles Masters Long-term Chaotic System Forecasting

Model-Preserving Adaptive Rounding

DORAEMON: Decentralized Ontology-aware Reliable Agent with Enhanced Memory Oriented Navigation

SDPO: Importance-Sampled Direct Preference Optimization for Stable Diffusion Training

Spectral-inspired Operator Learning with Limited Data and Unknown Physics

BiomedSQL: Text-to-SQL for Scientific Reasoning on Biomedical Knowledge Bases

Beyond the Proxy: Trajectory-Distilled Guidance for Offline GFlowNet Training

Prompting is not Enough: Exploring Knowledge Integration and Controllable Generation on Large Language Models

HD-PiSSA: High-Rank Distributed Orthogonal Adaptation

Can LLMs Alleviate Catastrophic Forgetting in Graph Continual Learning? A Systematic Study

FFT-based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of Large Language Models

From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning

BP-Seg: A graphical model approach to unsupervised and non-contiguous text segmentation using belief propagation

Bottlenecked Transformers: Periodic KV Cache Consolidation for Generalised Reasoning

The Polar Express: Optimal Matrix Sign Methods and Their Application to the Muon Algorithm

Unlearning Isn't Deletion: Investigating Reversibility of Machine Unlearning in LLMs

Learning Flexible Forward Trajectories for Masked Molecular Diffusion

Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems

Attributing Response to Context: A Jensen-Shannon Divergence Driven Mechanistic Study of Context Attribution in Retrieval-Augmented Generation

UniErase: Towards Balanced and Precise Unlearning in Language Models

Octic Vision Transformers: Quicker ViTs Through Equivariance

Intentional Gesture: Deliver Your Intentions with Gestures for Speech

UltraEdit: Training-, Subject-, and Memory-Free Lifelong Editing in Language Models

VocalAgent: Large Language Models for Vocal Health Diagnostics with Safety-Aware Evaluation

Learning Hierarchical Domain Models Through Environment-Grounded Interaction

Shadow-FT: Tuning Instruct Model via Training on Paired Base Model

Structured Relational Representations

Latent Veracity Inference for Identifying Errors in Stepwise Reasoning

Feature Hedging: Correlated Features Break Narrow Sparse Autoencoders

ZeroTuning: Unlocking the Initial Token's Power to Enhance Large Language Models Without Training

A Longitudinal Randomized Control Study of Companion Chatbot Use: Anthropomorphism and Its Mediating Role on Social Impacts

Created by

Haebom

저자

Rose E. Guingrich, Michael S. A. Graziano

사회적 AI 에이전트와의 관계가 인간 관계에 미치는 영향에 대한 연구

개요

본 연구는 소셜 AI 에이전트와의 관계가 증가하는 현상에 주목하여, 이러한 관계가 인간 관계에 미치는 영향을 조사했다. 183명의 참가자를 대상으로 21일 동안 소셜 AI 챗봇과 대화하거나 텍스트 기반 단어 게임을 하도록 무작위 배정했다. 4번의 설문 조사와 2번의 음성 녹음 인터뷰를 통해 참가자들의 사회적 건강과 관계 변화를 추적했다. 연구 결과, 21일 동안의 챗봇과의 상호작용이 대조군과 비교하여 참가자들의 사회적 건강 및 관계에 유의미한 영향을 미치지 않았다. 그러나, 사회적 연결에 대한 욕구가 높은 사람들은 챗봇을 더 의인화하는 경향을 보였다. 챗봇을 더 의인화한 사람들은 챗봇과의 상호작용이 가족 및 친구와의 사회적 상호작용에 더 큰 영향을 미친다고 보고했다. 연구 결과는 인간-AI 상호작용이 인간-인간 사회적 결과에 미치는 영향은 사람들이 AI 에이전트를 의인화하는 정도에 의해 매개되며, 이는 사회적 연결에 대한 욕구와 관련이 있음을 시사했다.

시사점, 한계점

•

21일 동안의 챗봇 상호작용이 전반적인 사회적 건강과 관계에 부정적인 영향을 미치지 않았다.

•

사회적 연결에 대한 욕구가 높은 사람들은 챗봇을 더 의인화하며, 이러한 경향성이 인간-인간 관계에 영향을 미칠 수 있다.

•

의인화가 인간-AI 상호작용이 인간-인간 관계에 미치는 영향의 중요한 매개체임을 확인했다.

•

21일이라는 짧은 기간의 연구로 장기적인 영향은 파악하기 어렵다.

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연구 대상이 특정 인구 집단으로 제한되어 일반화에 한계가 있을 수 있다.

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챗봇과의 상호작용 방식(텍스트 기반)이 제한적이며, 다양한 상호작용 방식을 고려하지 못했다.

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