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20242026
most citedOneBit: Towards Extremely Low-bit Large Language Models

8 citations · 23 across the 57 of their papers we have counts for

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5 papers · 1 filter

cs.SE2026

Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards

Tianhao Niu, Ziyu Han, Qiguang Chen +5

Automatic data visualization generation has advanced rapidly with multi-modal large language models, yet existing efforts largely focus on static charts and overlook the interactiv…

cs.SE2026

MEnvAgent: Scalable Polyglot Environment Construction for Verifiable Software Engineering

Chuanzhe Guo, Jingjing Wu, Sijun He +10

The evolution of Large Language Model (LLM) agents for software engineering (SWE) is constrained by the scarcity of verifiable datasets, a bottleneck stemming from the complexity o…

cs.SE2025

Automated Snippet-Alignment Data Augmentation for Code Translation

Zhiming Zhang, Qingfu Zhu, Xianzhen Luo +3

Code translation aims to translate the code from its source language to the target language and is used in various software development scenarios. Recent developments in Large Lang…

cs.SE2025

ReF Decompile: Relabeling and Function Call Enhanced Decompile

Yunlong Feng, Bohan Li, Xiaoming Shi +2

The goal of decompilation is to convert compiled low-level code (e.g., assembly code) back into high-level programming languages, enabling analysis in scenarios where source code i…

cs.SE2024

Self-Constructed Context Decompilation with Fined-grained Alignment Enhancement

Yunlong Feng, Dechuan Teng, Yang Xu +5

Decompilation transforms compiled code back into a high-level programming language for analysis when source code is unavailable. Previous work has primarily focused on enhancing de…