๐ Original Info Title: SWE ํ๋ ์ด๊ทธ๋ผ์ด๋ ์ธ๊ณต์ง๋ฅ ์ฝ๋ฉ ์์ด์ ํธ๋ฅผ ์ํ ํฉ์ฑ ํ๋ก์ ํธ ์์ฑ ํ์ดํ๋ผ์ธ ArXiv ID: 2512.12216 Date: Authors: Unknown ๐ Abstract Prior works on training software engineering agents have explored utilizing existing resources such as issues on GitHub โฆ
๐ Original Info Title: ์์คํ ๋ก๊ทธ ์ด์ ํ์ง๋ฅผ ์ํ ์ง์ ๊ฐํ ์๋ฆฌ์น๋ก๊ทธ ํ๋ ์์ํฌ ArXiv ID: 2512.11997 Date: Authors: Unknown ๐ Abstract System logs are a critical resource for monitoring and managing distributed systems, providing insights into failures and anomalous โฆ
๐ Original Info Title: ์คํ์์ค ๋ํ์ธ์ด๋ชจ๋ธ์ ํ์ฉํ ์ง์ ํ๋ ๊ธฐ๋ฐ BPMN ์๋ ์์ฑ ๋ฐฉ๋ฒ ArXiv ID: 2512.12063 Date: Authors: Unknown ๐ Abstract Domain models are central to software engineering, as they enable a shared understanding, guide implementation, and support โฆ
๐ Original Info Title: Cadence ๊ธฐ๋ฐ ์ถ์ฒ ์์คํ ๊ตฌํ ๋ฐ ํ๋ผ๋ฏธํฐ ์ต์ ํ ์ฐ๊ตฌ ArXiv ID: 2512.17733 Date: Authors: Unknown ๐ Abstract Implementation details We implemented Cadence using PyTorch and trained it with the Adam optimizer, setting the learning rate to 0.001. โฆ
๐ Original Info Title: ๊ฑฐ์ธ ๋ชจ๋ ํ๋ ์ด์ด ์ ๋ต์ ๋ชจ๋ฐฉํ๋ ์ ์ธ๊ณต์ง๋ฅ ArXiv ID: 2512.11902 Date: Authors: Unknown ๐ Abstract Enemy strategies in turn-based games should be surprising and unpredictable. This study introduces Mirror Mode, a new game mode where the enemy โฆ
๐ Original Info Title: ๊ณ ๋ ๋ฌธ์ ์ดํด ์ข ํฉ ๋ฒค์น๋งํฌ ArXiv ID: 2512.17756 Date: Authors: Unknown ๐ Abstract Comprehension of ancient texts plays an important role in archaeology and understanding of Chinese history and civilization. The rapid development of large โฆ
๐ Original Info Title: ๋ฎ์ ๋์์ ๊ฐํ ์ธ๊ณผ๋ ฅ: LLM ์ธ๊ณผ ์ถ๋ก ํ๋ผ๋ฏธํฐ์ ์๋ก์ด ํต์ฐฐ ArXiv ID: 2512.11909 Date: Authors: Unknown ๐ Abstract no-MV agents have low leakage b (0-0.1), strong causal strength m 1 , m 2 (0.75-0.99), and midrange priors, while agents with MV or โฆ
๐ Original Info Title: ๋ ๋คํธ์ํฌ ํจํด ํ์ต์ ์ํ ๋ค์ค ์์ญ iEEG ๋ณํ๊ธฐ์ ๊ณต๊ฐ ์ค์ผ์ผ ๊ฐ๋ณ ์๊ธฐ์ง๋ ํ์ต ArXiv ID: 2512.12135 Date: Authors: Unknown ๐ Abstract Intracranial recordings have opened a unique opportunity to simultaneously measure activity across multiregional networks โฆ
๐ Original Info Title: ๋์ ๋ ์ ํธ์ 3์ฐจ์ ๊ทธ๋ํ ๋งคํธ๋ฆญ์ค ๋ณํ์ ํตํ ๋ค์ค ์์ค ํน์ง ์ถ์ถ ๋ฐ ๊ณ ์ ๋ฐ ๋ฐ์ ์์ธก ๋ชจ๋ธ ArXiv ID: 2512.12273 Date: Authors: Unknown ๐ Abstract Prediction of epilepsy based on electroencephalogram (EEG) signals is a rapidly evolving field. Previous studies have โฆ
๐ Original Info Title: ๋ง์ถคํ 3D ์ ์ธต DRAM ์ค๊ณ๋ฅผ ์ํ DreamRAM ๋ชจ๋ธ๋ง ํด ArXiv ID: 2512.12106 Date: Authors: Unknown ๐ Abstract 3D die-stacked DRAM has emerged as a key technology for delivering high bandwidth and high density for applications such as โฆ
๐ Original Info Title: ์๊ด๊ด๊ณ๊ฐ ๋์ ํ ์คํธ ๊ฐ๋ ์์๋ ํด์ ๊ฐ๋ฅํ ํน์ง ํ์ต์ ํ๊ณ ArXiv ID: 2512.15134 Date: Authors: Unknown ๐ Abstract A central goal of interpretability is to recover representations of causally relevant concepts from the activations of neural networks. โฆ
๐ Original Info Title: ์ฐ์ ๊ฐ์ ์ต์ ํ๋ฅผ ์ํ SCOPE ์ธ๊ณผ ํ์ต ๊ธฐ๋ฐ ์์ฐจ ํ๋ก์ธ์ค ๋ชจ๋ํฐ๋ง ArXiv ID: 2512.17629 Date: Authors: Unknown ๐ Abstract Prescriptive Process Monitoring (PresPM) recommends interventions during business processes to optimize key performance indicators โฆ
๐ Original Info Title: ์ง์ง ์๋์ง ๊ท๋ชจ ๋ถ๋ณ์ฑ ์ฐ๊ตฌ: ๋จ์บ๋ฆฌํฌ๋์ยท์ผ๋ณธ ์นดํ๋ก๊ทธ ๋ถ์๊ณผ ํฉ์ฑ ์๋ฎฌ๋ ์ด์ ArXiv ID: 2512.17615 Date: Authors: Unknown ๐ Abstract We analyze regional earthquake energy statistics from the Southern California and Japan seismic catalogs and find โฆ
๐ Original Info Title: ํ๋ฅ ์ ํธ๋ฆฌ ํ์์ผ๋ก ๊ฐํ๋ ํ์ฐ ์ธ์ด ๋ชจ๋ธ ์ถ๋ก ArXiv ID: 2512.12168 Date: Authors: Unknown ๐ Abstract Diffusion language models (DLMs) have recently emerged as a compelling alternative to autoregressive generation, offering parallel generation โฆ
๐ Original Info Title: AI์ ํจ๊ปํ๋ ์๋ณธ ์บ๋ฆญํฐ ์ฐฝ์: LLM ๊ธฐ๋ฐ ์ญํ ๊ทน ์ฑ๋ด ORIBA์ ์ค๊ณ์ ํ๊ฐ ArXiv ID: 2512.12630 Date: Authors: Unknown ๐ Abstract Fig. 1 . Artists conceptualize original characters (OCs) in their minds before and during constant visual expressions, and โฆ
๐ Original Info Title: ๋๊ท๋ชจ ์ธ์ด๋ชจ๋ธ ์ ์์ ์ํ ์ฌ์ด ์ ์ ์ ๋ต ArXiv ID: 2512.17771 Date: Authors: Unknown ๐ Abstract While the enormous parameter scale endows Large Models (LMs) with unparalleled performance, it also limits their adaptability across specific โฆ
๐ Original Info Title: ๋ฐ๋ฅ๋๋ฉด์ ์ง์๊ทธ๋ํ๋ก ๋ณํํด ์๊ฐ์ฅ์ ์ธ ์ค๋ด ๊ธธ์ฐพ๊ธฐ ์ง์ ArXiv ID: 2512.12177 Date: Authors: Unknown ๐ Abstract Indoor navigation remains a critical challenge for people with visual impairments. The current solutions mainly rely on โฆ
๐ Original Info Title: ์์ค ์ ์ ๋ฐฉ์์ด ๋ํํ ๊ฒ์ ์ฌ์ฉ์์ ์ธ๊ฒ์ด์ง๋จผํธ์ ์ธ์์ ๋ฏธ์น๋ ์ํฅ ArXiv ID: 2512.12207 Date: Authors: Unknown ๐ Abstract Conversational search systems increasingly provide source citations, yet how citation or source presentation formats influence user โฆ
๐ Original Info Title: ์ด์ ๋ฏผ๊ฐํ ๋ณดํ ๊ฒฝ๋ก ํ์์ ์ํ ํซํด ์ํฌํ๋ก์ฐ ArXiv ID: 2512.11896 Date: Authors: Unknown ๐ Abstract Pedestrian heat exposure is a critical health risk in dense tropical cities, yet standard routing algorithms often ignore micro-scale thermal โฆ
๐ Original Info Title: ์์น ์๋ฒ ๋ฉ ์ ๊ฑฐ๋ก ์ปจํ ์คํธ ๊ธธ์ด ํ์ฅ ArXiv ID: 2512.12167 Date: Authors: Unknown ๐ Abstract So far, expensive finetuning beyond the pretraining sequence length has been a requirement for effectively extending the context of language models โฆ
๐ Original Info Title: ํ๋์ ์ด์ฆ ์ฐ์ ์์ ๊ฒฐํฉ์ ํตํ ๋ฌผ๋ฆฌ์ ๋ณด ์ ๊ฒฝ๋ง์ ์์ ์ ๊ณ ์ ๋ฐ ํ์ต ArXiv ID: 2512.17607 Date: Authors: Unknown ๐ Abstract Physics-informed neural networks (PINNs) have recently emerged as a prominent paradigm for solving partial differential equations โฆ
๐ Original Info Title: Arxiv 2601.00912 ArXiv ID: 2601.00912 Date: Authors: Unknown ๐ Abstract ๐ Full Content Something strange is happening with AI-powered search. Ask ChatGPT "What is Notion?" and you'll get a detailed, accurate response. But ask โฆ
๐ Original Info Title: Arxiv 2601.01839 ArXiv ID: 2601.01839 Date: Authors: Unknown ๐ Abstract Despite the growing popularity of AI coding assistants, over 80% of machine learning (ML) projects fail to deliver real business value. This study creates โฆ
๐ Original Info Title: LLM์ ํ์ฉํ ์จํจ๋ก์ง ๊ณต๋ฆฌ ์๋ ์๋ณ๊ณผ OntoAxiom ๋ฒค์น๋งํฌ ์ฐ๊ตฌ ArXiv ID: 2512.05594 Date: Authors: Unknown ๐ Abstract Ontologies are an important tool for structuring domain knowledge, but their development is a complex task that requires โฆ
๐ Original Info Title: ArXiv ID: 2512.12168 Date: Authors: Unknown ๐ Abstract Diffusion language models (DLMs) have recently emerged as a compelling alternative to autoregressive generation, offering parallel generation and improved global coherence. โฆ
๐ Original Info Title: ArXiv ID: 2512.12068 Date: Authors: Unknown ๐ Abstract Variational Quantum Algorithms (VQAs) are promising for near-and intermediate-term quantum computing, but their execution cost is substantial. Each task requires many โฆ
๐ Original Info Title: ArXiv ID: 2512.16511 Date: Authors: Unknown ๐ Abstract Accurate intrinsic decomposition of face images under unconstrained lighting is a prerequisite for photorealistic relighting, high-fidelity digital doubles, and โฆ
๐ Original Info Title: ArXiv ID: 2512.12216 Date: Authors: Unknown ๐ Abstract Prior works on training software engineering agents have explored utilizing existing resources such as issues on GitHub repositories to construct software engineering tasks โฆ
๐ Original Info Title: ArXiv ID: 2512.17667 Date: Authors: Unknown ๐ Abstract Modern HTTPS mechanisms such as Encrypted Client Hello (ECH) and encrypted DNS improve privacy but remain vulnerable to website fingerprinting (WF) attacks, where โฆ
๐ Original Info Title: ArXiv ID: 2512.12066 Date: Authors: Unknown ๐ Abstract Current safety evaluations of large language models rely on single-shot testing, implicitly assuming that model responses are deterministic and representative of the โฆ
๐ Original Info Title: ArXiv ID: 2512.12121 Date: Authors: Unknown ๐ Abstract We introduce MixtureKit, a modular open-source framework for constructing, training, and analyzing Mixture-of-Experts (MoE) models from arbitrary pretrained or fine-tuned โฆ
๐ Original Info Title: ArXiv ID: 2512.17771 Date: Authors: Unknown ๐ Abstract While the enormous parameter scale endows Large Models (LMs) with unparalleled performance, it also limits their adaptability across specific tasks. Parameter-Efficient โฆ
๐ Original Info Title: ArXiv ID: 2512.12273 Date: Authors: Unknown ๐ Abstract Prediction of epilepsy based on electroencephalogram (EEG) signals is a rapidly evolving field. Previous studies have traditionally applied 1D processing to the entire EEG โฆ
๐ Original Info Title: ArXiv ID: 2512.11909 Date: Authors: Unknown ๐ Abstract no-MV agents have low leakage b (0-0.1), strong causal strength m 1 , m 2 (0.75-0.99), and midrange priors, while agents with MV or weak EA show higher b (0.15-0.62) and โฆ
๐ Original Info Title: ArXiv ID: 2512.12135 Date: Authors: Unknown ๐ Abstract Intracranial recordings have opened a unique opportunity to simultaneously measure activity across multiregional networks in the human brain. Recent works have focused on โฆ
๐ Original Info Title: ArXiv ID: 2512.11997 Date: Authors: Unknown ๐ Abstract System logs are a critical resource for monitoring and managing distributed systems, providing insights into failures and anomalous behavior. Traditional log analysis โฆ
๐ Original Info Title: ArXiv ID: 2512.17615 Date: Authors: Unknown ๐ Abstract We analyze regional earthquake energy statistics from the Southern California and Japan seismic catalogs and find scale-invariant energy distributions characterized by an โฆ
๐ Original Info Title: ArXiv ID: 2512.17607 Date: Authors: Unknown ๐ Abstract Physics-informed neural networks (PINNs) have recently emerged as a prominent paradigm for solving partial differential equations (PDEs), yet their training strategies โฆ
๐ Original Info Title: ArXiv ID: 2512.12501 Date: Authors: Unknown ๐ Abstract Generative Artificial Intelligence (AI) has created unprecedented opportunities for creative expression, education, and research. Text-to-image systems such as DALLโขE, โฆ
๐ Original Info Title: ArXiv ID: 2512.15134 Date: Authors: Unknown ๐ Abstract A central goal of interpretability is to recover representations of causally relevant concepts from the activations of neural networks. The quality of these concept โฆ
๐ Original Info Title: ArXiv ID: 2512.12106 Date: Authors: Unknown ๐ Abstract 3D die-stacked DRAM has emerged as a key technology for delivering high bandwidth and high density for applications such as high-performance computing, graphics, and โฆ
๐ Original Info Title: ArXiv ID: 2512.11902 Date: Authors: Unknown ๐ Abstract Enemy strategies in turn-based games should be surprising and unpredictable. This study introduces Mirror Mode, a new game mode where the enemy AI mimics the personal โฆ
๐ Original Info Title: ArXiv ID: 2512.12177 Date: Authors: Unknown ๐ Abstract Indoor navigation remains a critical challenge for people with visual impairments. The current solutions mainly rely on infrastructure-based systems, which limit their โฆ
๐ Original Info Title: ArXiv ID: 2512.12167 Date: Authors: Unknown ๐ Abstract So far, expensive finetuning beyond the pretraining sequence length has been a requirement for effectively extending the context of language models (LM). In this work, we โฆ
๐ Original Info Title: ArXiv ID: 2512.12548 Date: Authors: Unknown ๐ Abstract Patch foraging involves the deliberate and planned process of determining the optimal time to depart from a resource-rich region and investigate potentially more beneficial โฆ
๐ Original Info Title: ArXiv ID: 2512.17678 Date: Authors: Unknown ๐ Abstract Selecting compact and informative gene subsets from single-cell transcriptomic data is essential for biomarker discovery, improving interpretability, and cost-effective โฆ
๐ Original Info Title: ArXiv ID: 2512.12207 Date: Authors: Unknown ๐ Abstract Conversational search systems increasingly provide source citations, yet how citation or source presentation formats influence user engagement remains unclear. We conducted โฆ
๐ Original Info Title: ArXiv ID: 2512.17733 Date: Authors: Unknown ๐ Abstract Implementation details We implemented Cadence using PyTorch and trained it with the Adam optimizer, setting the learning rate to 0.001. The batch size was fixed at 2048, โฆ
๐ Original Info Title: ArXiv ID: 2512.12063 Date: Authors: Unknown ๐ Abstract Domain models are central to software engineering, as they enable a shared understanding, guide implementation, and support automated analyses and modeldriven development. โฆ
๐ Original Info Title: ArXiv ID: 2512.12128 Date: Authors: Unknown ๐ Abstract This paper presents the largest known benchmark dataset for road damage assessment and road alignment, and provides 18 baseline models trained on the CRASAR-U-DRIODs โฆ
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