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๐Ÿ” sanjay kumar palit ๐Ÿ“‚ Computer Science
Showing 320 results for "sanjay kumar palit" in Computer Science
Computer Science Preprint PDF DOI

Distributed Santa Claus via Global Rounding

Tijn de Vos, Leo Wennmann, Malte Baumecker, Yannic Maus, Florian Schager ยท 2026

In this paper, we consider the Santa Claus problem in the CONGEST model. This NP-hard problem can be modeled as a bipartite graph of children and gifts where an edge indicates that a child desires a gโ€ฆ

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PSP: An Interpretable Per-Dimension Accent Benchmark for Indic Text-to-Speech

Venkata Pushpak Teja Menta ยท 2026

Standard text-to-speech (TTS) evaluation measures intelligibility (WER, CER) and overall naturalness (MOS, UTMOS) but does not quantify accent. A synthesiser may score well on all four yet sound non-nโ€ฆ

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SSG: Logit-Balanced Vocabulary Partitioning for LLM Watermarking

Chenxi Gu, Xiaoning Du, John Grundy ยท 2026

Watermarking has emerged as a promising technique for tracing the authorship of content generated by large language models (LLMs). Among existing approaches, the KGW scheme is particularly attractive โ€ฆ

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ECCFROG522PP: An Enhanced 522 bit Weierstrass Elliptic Curve

Victor Duarte Melo ยท 2026

This paper presents ECCFROG522PP, a 522-bit prime-field elliptic curve in short Weierstrass form, designed with a focus on deterministic generation and public reproducibility. The central design princโ€ฆ

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From Distance to Angle: One-Shot Detection Under Isotropic Multivariate Cauchy Noise

Yen-Chi Lee ยท 2026

We study one-shot detection under isotropic multivariate Cauchy noise using finite constellations, with emphasis on the geometric mechanisms governing symbol-level reliability. Under isotropic Cauchy โ€ฆ

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An Unconditional Barrier for Proving Multilinear Algebraic Branching Program Lower Bounds

Deepanshu Kush ยท 2026

Since the breakthrough superpolynomial multilinear formula lower bounds of Raz (Theory of Computing 2006), proving such lower bounds against multilinear algebraic branching programs (mABPs) has been aโ€ฆ

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Sima AIunty: Caste Audit in LLM-Driven Matchmaking

Atharva Naik, Shounok Kar, Varnika Sharma, Ashwin Rajadesingan, Koustuv Saha ยท 2026

Social and personal decisions in relational domains such as matchmaking are deeply entwined with cultural norms and historical hierarchies, and can potentially be shaped by algorithmic and AI-mediatedโ€ฆ

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Near-Optimal Bounds for Parameterized Euclidean k-means

Vincent Cohen-Addad, Karthik C. S., David Saulpic, Chris Schwiegelshohn ยท 2026

The $k$-means problem is a classic objective for modeling clustering in a metric space. Given a set of points in a metric space, the goal is to find $k$ representative points so as to minimize the sumโ€ฆ

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Constructing Weakly Terminating Interface Protocols

Debjyoti Bera, Tim A.C. Willemse ยท 2026

Interfaces play a central role in determining compatible component compositions by prescribing permissible interactions between a service provider (server) and its consumers (clients). The high degreeโ€ฆ

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Purifying Generative LLMs from Backdoors without Prior Knowledge or Clean Reference

Jianwei Li, Jung-Eun Kim ยท 2026

Backdoor attacks pose severe security threats to large language models (LLMs), where a model behaves normally under benign inputs but produces malicious outputs when a hidden trigger appears. Existingโ€ฆ

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When Relaxation Does Not Help: RLDCs with Small Soundness Yield LDCs

Kuan Cheng, Xin Li, Songtao Mao ยท 2026

Locally decodable codes (LDCs) are error correction codes that allow recovery of any single message symbol by probing only a small number of positions from the (possibly corrupted) codeword. Relaxed lโ€ฆ

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Two NP-hard Extensions of the Spearman Footrule even for a Small Constant Number of Voters

Martin Durand ยท 2026

The Spearman footrule is a voting rule that takes as input voter preferences expressed as rankings. It outputs a ranking that minimizes the sum of the absolute differences between the position of eachโ€ฆ

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Workflow-Level Design Principles for Trustworthy GenAI in Automotive System Engineering

Chih-Hong Cheng, Brian Hsuan-Cheng Liao, Adam Molin, Hasan Esen ยท 2026

The adoption of large language models in safety-critical system engineering is constrained by trustworthiness, traceability, and alignment with established verification practices. We propose workflow-โ€ฆ

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One Color Makes All the Difference in the Tractability of Partial Coloring in Semi-Streaming

Avinandan Das ยท 2026

This paper investigates the semi-streaming complexity of \textit{$k$-partial coloring}, a generalization of proper graph coloring. For $k \geq 1$, a $k$-partial coloring requires that each vertex $v$ โ€ฆ

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NESSiE: The Necessary Safety Benchmark -- Identifying Errors that should not Exist

Johannes Bertram, Jonas Geiping ยท 2026

We introduce NESSiE, the NEceSsary SafEty benchmark for large language models (LLMs). With minimal test cases of information and access security, NESSiE reveals safety-relevant failures that should noโ€ฆ

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How to check in continually over 4,000 days on an online learning platform? An empirical experience and a practical solution

Jialiang Lin ยท 2026

The check-in service is often provided as an incentive system by online learning platforms to help users establish a learning routine and achieve accomplishment. However, according to the questionnairโ€ฆ

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QEIL v2: Heterogeneous Computing for Edge Intelligence via Roofline-Derived Pareto-Optimal Energy Modeling and Multi-Objective Orchestration

Satyam Kumar, Saurabh Jha ยท 2026

Deploying large language models (LLMs) on heterogeneous edge devices demands frameworks that jointly optimize energy efficiency, inference quality, and reliability. Our prior QEIL v1 (Kumar & Jha, 202โ€ฆ

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VibeTensor: System Software for Deep Learning, Fully Generated by AI Agents

Bing Xu, Terry Chen, Fengzhe Zhou, Tianqi Chen, Yangqing Jia, Vinod Grover, Haicheng Wu, Wei Liu, Craig Wittenbrink, Wen-mei Hwu, Roger Bringmann, Ming-Yu Liu, Luis Ceze, Michael Lightstone, Humphrey Shi ยท 2026

VIBETENSOR is an open-source research system software stack for deep learning, generated by LLM-powered coding agents under high-level human guidance. In this paper, "fully generated" refers to code pโ€ฆ

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Tables or Sankey Diagrams? Investigating User Interaction with Different Representations of Simulation Parameters

Choro Ulan uulu, Mikhail Kulyabin, Katharina M Zeiner, Jan Joosten, Nuno Miguel Martins Pacheco, Filippos Petridis, Rebecca Johnson, Jan Bosch, Helena Holmstrom Olsson ยท 2026

Understanding complex parameter dependencies is critical for effective configuration and maintenance of software systems across diverse domains - from Computer-Aided Engineering (CAE) to cloud infrastโ€ฆ

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Progress on the Courtade-Kumar Conjecture: Optimal High-Noise Entropy Bounds and Generalized Coordinate-wise Mutual Information

Adel Javanmard, David P. Woodruff ยท 2026

The Courtade-Kumar conjecture posits that dictatorship functions maximize the mutual information between the function's output and a noisy version of its input over the Boolean hypercube. We present tโ€ฆ

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