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๐Ÿ” jaydeep rade ๐Ÿ“‚ Computer Science
Showing 15202 results for "jaydeep rade" in Computer Science
Computer Science Preprint PDF DOI

Claw-Eval-Live: A Live Agent Benchmark for Evolving Real-World Workflows

Chenxin Li, Zhengyang Tang, Huangxin Lin, Yunlong Lin, Shijue Huang, Shengyuan Liu, Bowen Ye, Rang Li, Lei Li, Benyou Wang, Yixuan Yuan ยท 2026

LLM agents are expected to complete end-to-end units of work across software tools, business services, and local workspaces. Yet many agent benchmarks freeze a curated task set at release time and graโ€ฆ

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Computer Science Preprint PDF DOI

When and How AI Should Assist Brainstorming for AI Impact Assessment

Jarod Govers, Sanja Scepanovic, Daniele Quercia ยท 2026

A key task in AI practice is to assess potential impacts to prevent harm. Current AI tools assisting AI impact assessment have not been designed or evaluated for collaborative team brainstorming, and โ€ฆ

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Computer Science Preprint PDF DOI

How Generative AI Disrupts Search: An Empirical Study of Google Search, Gemini, and AI Overviews

Riley Grossman, Songjiang Liu, Michael K. Chen, Mike Smith, Cristian Borcea, Yi Chen ยท 2026

Generative AI is being increasingly integrated into web search for the convenience it provides users. In this work, we aim to understand how generative AI disrupts web search by retrieving and presentโ€ฆ

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Computer Science Preprint PDF DOI

The Grand Software Supply Chain of AI Systems

Carmine Cesarano, Martin Monperrus ยท 2026

AI systems rest on software with low integrity mechanisms, leaving AI systems exposed across every stage from data acquisition to final inference. This paper makes the AI supply chain a first-class obโ€ฆ

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Computer Science Preprint PDF DOI

From Elastic to Viscoelastic: An EEMD-Enhanced Pulse Transit Time Model for Robust Blood Pressure Estimation

Boyuan Gu, Yijin Yang, Shuaiqi Cheng, Xiaorong Ding ยท 2026

Cuffless blood pressure (BP) estimation based on Pulse Transit Time (PTT) has emerged as a promising solution for continuous health monitoring. However, conventional models relying on the Moens-Kortewโ€ฆ

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Computer Science Preprint PDF DOI

ReVo: A Cross-Layer Reliable Volumetric Videoconferencing System

Ankur Aditya, Diptyaroop Maji, Lingdong Wang, Bhavya Ramakrishna, Ramesh Sitaraman, Prashant Shenoy ยท 2026

Volumetric videoconferencing enables immersive six Degrees of Freedom interactions by jointly transmitting visual appearance and 3D geometry. However, delivering volumetric video over today's networksโ€ฆ

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Computer Science Preprint PDF DOI

Multi-element Persuasion in Social Media Health Communication: Synergistic and Trade-off Effects

Weifeng Zhang, Jipeng Tan, Mengye Yang, Yong Min ยท 2026

Health messages on social media are typically constructed through combinations of source cues, appeals, frames, and evidence, which jointly shape communication and persuasive effects. However, prior rโ€ฆ

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Computer Science Preprint PDF DOI

The Likelihood Ratio Wall: Structural Limits on Accurate Risk Assessment for Rare Violence

Marco Pollanen ยท 2026

Pretrial risk assessment tools are used on over one million U.S. defendants each year, yet their use for predicting rare violent re-offense faces a basic statistical barrier. We derive a universal preโ€ฆ

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Computer Science Preprint PDF DOI

End-to-End and Phase-Level Performance Optimization for Hyperledger Fabric

Pavan Sollu, Aniruddha Mukherjee, Divya Pulivarthi, S.R. Eshwar, Gugan Thoppe, Kshitij Pratihast, Tittu Varghese, Hrishikesh Nashikkar, Yogesh Simmhan ยท 2026

Hyperledger Fabric (HLF) is a modular, permissioned blockchain widely adopted in enterprise settings. Enhancing its throughput and latency remains challenging, as optimization decisions made in one phโ€ฆ

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Computer Science Preprint PDF DOI

Efficient Training on Multiple Consumer GPUs with RoundPipe

Yibin Luo, Shiwei Gao, Huichuan Zheng, Youyou Lu, Jiwu Shu ยท 2026

Fine-tuning Large Language Models (LLMs) on consumer-grade GPUs is highly cost-effective, yet constrained by limited GPU memory and slow PCIe interconnects. Pipeline parallelism combined with CPU offlโ€ฆ

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Computer Science Preprint PDF DOI

Verification and Validation (V&V)-in-the-Loop for RISC-V Design: The Holistic Vision of BZL

Sajjad Ahmed, Alexander Kropotov, Roberto Ignacio Genovese, Bernat Homs, Eloi Merino, Francesco Urbani, Henrique Yano, Ivan Diaz, Joan Gracia Fernandez, Matteo Toselli, Muhammad Imran, Muhammad Abu Bakar Umar Haider Iqbal, Nadeem Yaseen, Quswar Abid, Shaista Cheema, Samuel Sanchez, Daniel Garcia, Joan Cabre, Mostafa Elyasi, Fernando Ayats, Miquel Moreto, Teresa Cervero, Oscar Palomar, Behzad Salami ยท 2026

The Barcelona Zetascale Lab (BZL) project aims to strengthening Europe's capacity in the design and manufacture of RISC-V based high-performance computing chips. In this context, we present a holisticโ€ฆ

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Computer Science Preprint PDF DOI

GMT: A Geometric Multigrid Transformer Solver for Microstructure Homogenization

Yu Xing, Yang Liu, Tianyang Xue, Lin Lu ยท 2026

Lattice metamaterials enable lightweight, multifunctional structures, yet homogenization-based evaluation of their effective properties remains computationally expensive. Neural surrogates offer speedโ€ฆ

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Meta-Learning and Targeted Differential Privacy to Improve the Accuracy-Privacy Trade-off in Recommendations

Peter Mullner, Dominik Kowald, Markus Schedl, Elisabeth Lex ยท 2026

Balancing differential privacy (DP) with recommendation accuracy is a key challenge in privacy-preserving recommender systems, since DP-noise degrades accuracy. We address this trade-off at both the dโ€ฆ

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Computer Science Preprint PDF DOI

Towards a Frugal Photosynthesis Sensing Toolkit for Data-Driven Plant Science Education and Exploration

Qitong Li, Raj Nileshbhai Dave, Rhema Amanda Phiri, Leo Zhang, Xiaoyu Zheng, Ariana Blake, Livia Ford, Sarah Jones, Susan R. Strickler, Nivedita Arora ยท 2026

Rapid environmental change and advances in data-driven analysis highlight the need not only to use computational tools, but also to foster understanding of the natural world and inspire creativity. Phโ€ฆ

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Computer Science Preprint PDF DOI

eDySec: A Deep Learning-based Explainable Dynamic Analysis Framework for Detecting Malicious Packages in PyPI Ecosystem

Sk Tanzir Mehedi, Raja Jurdak, Chadni Islam, Abu Bakar Siddique Mahi, Gowri Ramachandran ยท 2026

The security of open-source software repositories is increasingly threatened by next-gen software supply chain attacks. These attacks include multiphase malware execution, remote access activation, anโ€ฆ

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Computer Science Preprint PDF DOI

OpenSOC-AI: Democratizing Security Operations with Parameter Efficient LLM Log Analysis

Chaitanya Vilas Garware, Sharif Noor Zisad ยท 2026

Small and medium sized businesses (SMBs) face an escalating cybersecurity threat landscape, yet most lack the resources to staff full Security Operations Centers (SOCs) or deploy enterprise grade deteโ€ฆ

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Computer Science Preprint PDF DOI

Hierarchical Long-Term Semantic Memory for LinkedIn's Hiring Agent

Zhentao Xu, Shangjing Zhang, Emir Poyraz, Yvonne Li, Ye Jin, Xie Lu, Xiaoyang Gu, Karthik Ramgopal, Praveen Kumar Bodigutla, Xiaofeng Wang ยท 2026

Large Language Model (LLM) agents are increasingly used in real-world products, where personalized and context-aware user interactions are essential. A central enabler of such capabilities is the agenโ€ฆ

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Computer Science Preprint PDF DOI

Designing Rewards for Rewarding Designs: Demonstrating the Impact of Rewards on the Creative Design Process

Surabhi S Nath, Vindula Jayawardana, Monica Van, Matt Klenk, Shabnam Hakimi ยท 2026

The creative design process involves transforming abstract goals into concrete outcomes through a series of decisions made under constraints. While such processes are commonly shaped by feedback like โ€ฆ

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Computer Science Preprint PDF DOI

Three Models of RLHF Annotation: Extension, Evidence, and Authority

Steve Coyne ยท 2026

Preference-based alignment methods, most prominently Reinforcement Learning with Human Feedback (RLHF), use the judgments of human annotators to shape large language model behaviour. However, the normโ€ฆ

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Verifying Provenance of Digital Media: Why the C2PA Specifications Fall Short

Enis Golaszewski, Neal Krawetz, Alan T. Sherman, Edward Zieglar, Sai K. Matukumalli, Roberto Yus, Carson L. Kegley, Michael Barthel, William Bowman, Bharg Barot, Kaur Kullman ยท 2026

The rapid rise of generative AI has made it easy to create convincing fake media at scale. In response, an industrial coalition has developed the Coalition for Content Provenance and Authenticity (C2Pโ€ฆ

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