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Academic · 약 1분

CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving

arXiv:2602.15645v1 Announce Type: new Abstract: Foundation models, including vision language models, are increasingly used in automated driving to interpret scenes, recommend actions, and generate natural …

Lucas Elbert Suryana, Farah Bierenga, Sanne van Buuren, Pepijn Kooij, Elsefien Tulleners, Federico Scari, Simeon Calvert, Bart van Arem, Arkady Zgonnikov

조회수 50회 02.23

Academic · 약 1분

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

arXiv:2602.15669v1 Announce Type: new Abstract: Current methods for personality control in Large Language Models rely on static prompting or expensive fine-tuning, failing to capture the …

Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin

조회수 19회 02.23

Academic · 약 1분

Recursive Concept Evolution for Compositional Reasoning in Large Language Models

arXiv:2602.15725v1 Announce Type: new Abstract: Large language models achieve strong performance on many complex reasoning tasks, yet their accuracy degrades sharply on benchmarks that require …

Sarim Chaudhry

조회수 44회 02.23

Academic · 약 1분

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems

arXiv:2602.15776v1 Announce Type: new Abstract: In the realm of multi-agent systems, the challenge of \emph{partial observability} is a critical barrier to effective coordination and decision-making. …

Yiqin Yang, Xu Yang, Yuhua Jiang, Ni Mu, Hao Hu, Runpeng Xie, Ziyou Zhang, Siyuan Li, Yuan-Hua Ni, Qianchuan Zhao, Bo Xu

조회수 20회 02.23

Academic · 약 1분

This human study did not involve human subjects: Validating LLM simulations as behavioral evidence

arXiv:2602.15785v1 Announce Type: new Abstract: A growing literature uses large language models (LLMs) as synthetic participants to generate cost-effective and nearly instantaneous responses in social …

Jessica Hullman, David Broska, Huaman Sun, Aaron Shaw

조회수 25회 02.23

Academic · 약 1분

Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings

arXiv:2602.15791v1 Announce Type: new Abstract: Accurate representation of building semantics, encompassing both generic object types and specific subtypes, is essential for effective AI model training …

Suhyung Jang, Ghang Lee, Jaekun Lee, Hyunjun Lee

조회수 20회 02.23

Academic · 약 1분

Developing AI Agents with Simulated Data: Why, what, and how?

arXiv:2602.15816v1 Announce Type: new Abstract: As insufficient data volume and quality remain the key impediments to the adoption of modern subsymbolic AI, techniques of synthetic …

Xiaoran Liu, Istvan David

조회수 52회 02.23

Academic · 약 1분

LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets

arXiv:2602.13209v1 Announce Type: cross Abstract: We introduce LemonadeBench v0.5, a minimal benchmark for evaluating economic intuition, long-term planning, and decision-making under uncertainty in large language …

Aidan Vyas

조회수 49회 02.23

Academic · 약 1분

EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

arXiv:2602.15034v1 Announce Type: cross Abstract: While Large Language Models (LLMs) are reshaping the paradigm of AI for Social Science (AI4SS), rigorously evaluating their capabilities in …

Houping Yue, Zixiang Di, Mei Jiang, Bingdong Li, Hao Hao, Yu Song, Bo Jiang, Aimin Zhou

조회수 22회 02.23

Academic · 약 1분

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis

arXiv:2602.15037v1 Announce Type: cross Abstract: As large language models (LLMs) advance toward expert-level performance in engineering domains, reliable reasoning under user-specified constraints becomes critical. In …

Mayank Ravishankara

조회수 46회 02.23

Academic · 약 1분

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages

arXiv:2602.15038v1 Announce Type: cross Abstract: Multilingual large language models (LLMs) are increasingly deployed in linguistically diverse regions like India, yet most interpretability tools remain tailored …

Mihir Panchal, Deeksha Varshney, Mamta, Asif Ekbal

조회수 20회 02.23

Academic · 약 1분

GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation

arXiv:2602.15039v1 Announce Type: cross Abstract: We present GRACE, a simulation-native agent for autonomous experimental design in high-energy and nuclear physics. Given multimodal input in the …

Justin Hill, Hong Joo Ryoo

조회수 33회 02.23

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전문분석자료

CARE Drive A Framework for Evaluating Reason-Responsiveness of Vision Language Models in Automated Driving

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra

Recursive Concept Evolution for Compositional Reasoning in Large Language Models

GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent Systems

This human study did not involve human subjects: Validating LLM simulations as behavioral evidence

Enhancing Building Semantics Preservation in AI Model Training with Large Language Model Encodings

Developing AI Agents with Simulated Data: Why, what, and how?

LemonadeBench: Evaluating the Economic Intuition of Large Language Models in Simple Markets

EduResearchBench: A Hierarchical Atomic Task Decomposition Benchmark for Full-Lifecycle Educational Research

CircuChain: Disentangling Competence and Compliance in LLM Circuit Analysis

Indic-TunedLens: Interpreting Multilingual Models in Indian Languages

GRACE: an Agentic AI for Particle Physics Experiment Design and Simulation

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