activity
20242026
most citedQwen2.5-Coder Technical Report

45 citations · 45 across the 14 of their papers we have counts for

collaborators

14 papers

cs.LG2026

Learning Dynamics of Logits Debiasing for Long-Tailed Semi-Supervised Learning

Yue Cheng, Jiajun Zhang, Xiaohui Gao +2

Long-tailed distributions are prevalent in real-world semi-supervised learning (SSL), where pseudo-labels tend to favor majority classes, leading to degraded generalization. While…

cs.LG2026

Qwen-CUA: Native Computer Use for (almost) Everything

Dunjie Lu, Shuai Bai, Tianyi Bai +42

Native computer use offers a general interface for agents to operate almost any software available to people, but requires long-horizon state tracking, large-scale interactive expe…

cs.AI2026

Mechanistically Interpreting the Role of Sample Difficulty in RLVR for LLMs

Yue Cheng, Jiajun Zhang, Xiaohui Gao +3

Reinforcement Learning with Verifiable Reward (RLVR) is empirically shown to notably enhance the reasoning performance of large language models (LLMs), particularly in mathematics…

cs.AI2026

Benchmarking the Limits of In-Context Reinforcement Learning for Ad-Hoc Teamwork

Yuheng Jing, Kai Li, Ziwen Zhang +8

In-Context Reinforcement Learning (ICRL) has enabled foundation agents to adapt instantaneously to novel tasks, yet its efficacy in Ad-Hoc Teamwork (AHT)-where coordination with un…

cs.CV2026

Do All Vision Transformers Need Registers? A Cross-Architectural Reassessment

Spiros Baxevanakis, Platon Karageorgis, Ioannis Dravilas +1

Training Vision Transformers (ViTs) presents significant challenges, one of which is the emergence of artifacts in attention maps, hindering their interpretability. Darcet et al. (…

cs.CL2026

Qwen3-Coder-Next Technical Report

Ruisheng Cao, Mouxiang Chen, Jiawei Chen +17

We present Qwen3-Coder-Next, an open-weight language model specialized for coding agents. Qwen3-Coder-Next is an 80-billion-parameter model that activates only 3 billion parameters…

cs.CL2026

Scaling Agentic Verifier for Competitive Coding

Zeyao Ma, Jing Zhang, Xiaokang Zhang +9

Large language models (LLMs) have demonstrated strong coding capabilities but still struggle to solve competitive programming problems correctly in a single attempt. Execution-base…

cs.SE2026

Evaluating and Achieving Controllable Code Completion in Code LLM

Jiajun Zhang, Zeyu Cui, Lei Zhang +7

Code completion has become a central task, gaining significant attention with the rise of large language model (LLM)-based tools in software engineering. Although recent advances h…

cs.SE2026

From Completion to Editing: Unlocking Context-Aware Code Infilling via Search-and-Replace Instruction Tuning

Jiajun Zhang, Zeyu Cui, Jiaxi Yang +9

The dominant Fill-in-the-Middle (FIM) paradigm for code completion is constrained by its rigid inability to correct contextual errors and reliance on unaligned, insecure Base model…

cs.DC2026

MegaFlow: Large-Scale Distributed Orchestration System for the Agentic Era

Lei Zhang, Mouxiang Chen, Ruisheng Cao +16

The rapid development of interactive and autonomous AI systems signals our entry into the agentic era. Training and evaluating agents on complex agentic tasks such as software engi…

cs.CL2025

PlotCraft: Pushing the Limits of LLMs for Complex and Interactive Data Visualization

Jiajun Zhang, Jianke Zhang, Zeyu Cui +7

Recent Large Language Models (LLMs) have demonstrated remarkable proficiency in code generation. However, their ability to create complex visualizations for scaled and structured d…

cs.CL2025

SWE-Flow: Synthesizing Software Engineering Data in a Test-Driven Manner

Lei Zhang, Jiaxi Yang, Min Yang +6

We introduce **SWE-Flow**, a novel data synthesis framework grounded in Test-Driven Development (TDD). Unlike existing software engineering data that rely on human-submitted issues…

cs.CL2024

ExecRepoBench: Multi-level Executable Code Completion Evaluation

Jian Yang, Jiajun Zhang, Jiaxi Yang +9

Code completion has become an essential tool for daily software development. Existing evaluation benchmarks often employ static methods that do not fully capture the dynamic nature…

cs.CL2024★ 45 cited

Qwen2.5-Coder Technical Report

Binyuan Hui, Jian Yang, Zeyu Cui +21

In this report, we introduce the Qwen2.5-Coder series, a significant upgrade from its predecessor, CodeQwen1.5. This series includes six models: Qwen2.5-Coder-(0.5B/1.5B/3B/7B/14B/…