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๐Ÿ” yi zhao ๐Ÿ“‚ Computer Science
Showing 122 results for "yi zhao" in Computer Science
Computer Science Preprint PDF DOI

Hot Fixing in the Wild

Carol Hanna, Karine Even-Mendoza, W.B. Langdon, Mar Zamorano Lopez, Justyna Petke, Federica Sarro ยท 2026

Despite the operational importance of hot fixes, large-scale evidence on how they reshape routine maintenance workflows, particularly in the era of autonomous coding agents, remains limited. We analysโ€ฆ

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Computer Science Preprint PDF DOI

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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Computer Science Preprint PDF DOI

Praxy Voice: Voice-Prompt Recovery + BUPS for Commercial-Class Indic TTS from a Frozen Non-Indic Base at Zero Commercial-Training-Data Cost

Venkata Pushpak Teja Menta ยท 2026

Commercial TTS systems produce near-native Indic audio, but the best open-source bases (Chatterbox, Indic Parler-TTS, IndicF5) trail them on measured phonological dimensions, and the most widely adoptโ€ฆ

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Computer Science Preprint PDF DOI

PaperMind: Benchmarking Agentic Reasoning and Critique over Scientific Papers in Multimodal LLMs

Yanjun Zhao, Tianxin Wei, Jiaru Zou, Xuying Ning, Yuanchen Bei, Lingjie Chen, Simmi Rana, Wendy H. Yang, Hanghang Tong, Jingrui He ยท 2026

Understanding scientific papers requires more than answering isolated questions or summarizing content. It involves an integrated reasoning process that grounds textual and visual information, interprโ€ฆ

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Computer Science Preprint PDF DOI

CODO: An Automated Compiler for Comprehensive Dataflow Optimization

Weichuang Zhang, Yiquan Wang, Xinzhou Zhang, Chi Zhang, Yu Feng, Xiaofeng Hou, Chao Li, Jieru Zhao, Minyi Guo ยท 2026

FPGAs are well-suited for dataflow architectures that process data in a streaming or pipelined manner, thus satisfying the high computational and communication demands of emerging applications. Howeveโ€ฆ

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Designing Ethical Learning for Agentic AI: Toegye Yi Hwang's Ethical Emotion Regulation Framework

Ji Yeon Kim ยท 2026

Agentic AI systems capable of autonomous goal setting and proactive intervention introduce new challenges for regulating moral-emotional processes in learning environments. Existing frameworks typicalโ€ฆ

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Approximating Gains-from-Trade in Matching Markets

Moshe Babaioff, Aviad Rubinstein, Xizhi Tan, Kangning Wang ยท 2026

A central challenge in mechanism design is to develop truthful trade mechanisms that maximize the expected gains-from-trade (GFT) in two-sided markets with strategic agents. As achieving the full GFT โ€ฆ

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The Li-Chao Tree: Algorithm Specification and Analysis

Chao Li ยท 2026

The Li-Chao tree (LICT) was first introduced in lecture as an efficient data structure for dynamic lower envelope maintenance. In the years since, it has achieved widespread adoption within the competโ€ฆ

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Learning Sparsifying Transforms for mmWave Communication via $\ell^4$-Norm Maximization

Sueda Taner, Christoph Studer ยท 2026

The high directionality of wave propagation at millimeter-wave (mmWave) carrier frequencies results in only a small number of significant transmission paths between user equipments and the basestationโ€ฆ

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Sampling Permutations with Cell Probes is Hard

Yaroslav Alekseev, Mika Goos, Konstantin Myasnikov, Artur Riazanov, Dmitry Sokolov ยท 2025

Suppose we are given an infinite sequence of input cells, each initialized with a uniform random symbol from $[n]$. How hard is it to output a sequence in $[n]^n$ that is close to a uniform random perโ€ฆ

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Holographic MIMO Empowered NOMA-ISAC for 6G: Rate-Splitting Enhanced Near-Field Modeling, Multi-Objective Optimization, and Statistical Performance Validation

Sumita Majhi ยท 2025

Holographic multiple-input multiple-output (MIMO) systems with extremely large apertures enable transformational capabilities for sixth-generation (6G) integrated sensing and communications (ISAC). Hoโ€ฆ

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The Coding Limits of Robust Watermarking for Generative Models

Danilo Francati, Yevin Nikhel Goonatilake, Shubham Pawar, Daniele Venturi, Giuseppe Ateniese ยท 2025

We ask a basic question about cryptographic watermarking for generative models: to what extent can a watermark remain reliable when an adversary is allowed to corrupt the encoded signal? To study thisโ€ฆ

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A Simple and Robust Protocol for Distributed Counting

Edith Cohen, Moshe Shechner, Uri Stemmer ยท 2025

We revisit the distributed counting problem, where a server must continuously approximate the total number of events occurring across $k$ sites while minimizing communication. The communication compleโ€ฆ

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PGTuner: An Efficient Framework for Automatic and Transferable Configuration Tuning of Proximity Graphs

Hao Duan, Yitong Song, Bin Yao, Anqi Liang ยท 2025

Approximate Nearest Neighbor Search (ANNS) plays a crucial role in many key areas. Proximity graphs (PGs) are the leading method for ANNS, offering the best balance between query efficiency and accuraโ€ฆ

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GPT-OSS-20B: A Comprehensive Deployment-Centric Analysis of OpenAI's Open-Weight Mixture of Experts Model

Deepak Kumar, Divakar Yadav, Yash Patel ยท 2025

We present a single-GPU (H100, bf16) evaluation of GPT-OSS-20B (Mixture-of-Experts; 20.9B total, approx. 3.61B active) against dense baselines Qwen3-32B and Yi-34B across multiple dimensions. We measuโ€ฆ

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A simple analysis of a quantum-inspired algorithm for solving low-rank linear systems

Tyler Chen, Junhyung Lyle Kim, Archan Ray, Shouvanik Chakrabarti, Dylan Herman, Niraj Kumar ยท 2025

We describe and analyze a simple algorithm for sampling from the solution $\mathbf{x}^* := \mathbf{A}^+\mathbf{b}$ to a linear system $\mathbf{A}\mathbf{x} = \mathbf{b}$. We assume access to a samplerโ€ฆ

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Tight Efficiency Bounds for the Probabilistic Serial and Related Mechanisms

Jugal Garg, Yixin Tao, Laszlo A. Vegh ยท 2025

The Probabilistic Serial (PS) mechanism -- also known as the simultaneous eating algorithm -- is a canonical solution for the random assignment problem under ordinal preferences. It guarantees envy-frโ€ฆ

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Align is not Enough: Multimodal Universal Jailbreak Attack against Multimodal Large Language Models

Youze Wang, Wenbo Hu, Yinpeng Dong, Jing Liu, Hanwang Zhang, Richang Hong ยท 2025

Large Language Models (LLMs) have evolved into Multimodal Large Language Models (MLLMs), significantly enhancing their capabilities by integrating visual information and other types, thus aligning morโ€ฆ

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From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents

Tobias Lindenbauer, Georg Groh, Hinrich Schutze ยท 2025

We introduce CTIM-Rover, an AI agent for Software Engineering (SE) built on top of AutoCodeRover (Zhang et al., 2024) that extends agentic reasoning frameworks with an episodic memory, more specificalโ€ฆ

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Efficient Online Random Sampling via Randomness Recycling

Thomas L. Draper, Feras A. Saad ยท 2025

This article studies the fundamental problem of using i.i.d. coin tosses from an entropy source to efficiently generate random variables $X_i \sim P_i$ $(i \ge 1)$, where $(P_1, P_2, \dots)$ is a randโ€ฆ

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