activity
20222026
most citedCodeT: Code Generation with Generated Tests

65 citations · 136 across the 30 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.SE2025

AInsteinBench: Benchmarking Coding Agents on Scientific Repositories

Titouan Duston, Shuo Xin, Yang Sun +26

We introduce AInsteinBench, a large-scale benchmark for evaluating whether large language model (LLM) agents can operate as scientific computing development agents within real rese…

cs.SE2025★ 1 cited

From Code Foundation Models to Agents and Applications: A Comprehensive Survey and Practical Guide to Code Intelligence

Jian Yang, Xianglong Liu, Weifeng Lv +68

Large language models (LLMs) have fundamentally transformed automated software development by enabling direct translation of natural language descriptions into functional code, dri…

cs.LG2025

Virtual Width Networks

Seed, Baisheng Li, Banggu Wu +115

We introduce Virtual Width Networks (VWN), a framework that delivers the benefits of wider representations without incurring the quadratic cost of increasing the hidden size. VWN d…

cs.SE2025

SWE-Mirror: Scaling Issue-Resolving Datasets by Mirroring Issues Across Repositories

Junhao Wang, Daoguang Zan, Shulin Xin +3

Creating large-scale verifiable training datasets for issue-resolving tasks is a critical yet notoriously difficult challenge. Existing methods on automating the Gym environment se…

cs.SE2025★ 1 cited

AetherCode: Evaluating LLMs' Ability to Win In Premier Programming Competitions

Zihan Wang, Jiaze Chen, Zhicheng Liu +25

Competitive programming has emerged as a critical benchmark for evaluating the reasoning and coding capabilities of Large Language Models (LLMs). Despite impressive progress on exi…

cs.CL2025★ 1 cited

Seed-Coder: Let the Code Model Curate Data for Itself

ByteDance Seed, Yuyu Zhang, Jing Su +24

Code data in large language model (LLM) pretraining is recognized crucial not only for code-related tasks but also for enhancing general intelligence of LLMs. Current open-source L…

cs.SE2025

Multi-SWE-bench: A Multilingual Benchmark for Issue Resolving

Daoguang Zan, Zhirong Huang, Wei Liu +16

The task of issue resolving is to modify a codebase to generate a patch that addresses a given issue. However, existing benchmarks, such as SWE-bench, focus almost exclusively on P…