collaborators

6 papers

cs.SE2026

BulkPR-Bench: Benchmarking Queue-Level Governance of Interacting Pull Requests

Zetong Xiong, Qiao Zhao, Jun Zhang +20

Coding-agent benchmarks increasingly cover long-horizon, end-to-end, and interactive development, but typically retain one requested outcome or a fixed change sequence. Sequential…

cs.CL2026

ReasoningLens: Hierarchical Visualization and Diagnostic Auditing for Large Reasoning Models

Jun Zhang, Jiasheng Zheng, Boxi Cao +5

The emergence of Large Reasoning Models has introduced exceptionally long Chain-of-Thought traces, creating a transparency burden where critical logic is often buried under massive…

cs.SE2026

SWE-Future: Forecast-Conditioned Data Synthesis for Future-Oriented Software Engineering Agents

Qiao Zhao, JianYing Qu, Jun Zhang +3

Realistic coding-agent benchmarks often replay public GitHub issues and pull requests, making them vulnerable to overlap with model pretraining, fine-tuning, synthetic-data generat…

cs.SE2026

Code-QA-Bench: Separating Code Reasoning from Documentation Memorization in Repository-Level QA

Jun Zhang, JianYing Qu, Hanwen Du +3

We present Code-QA-Bench, a fully automated framework for synthesizing repository-level code understanding benchmarks that separates genuine code comprehension from documentation r…

cs.CL2026

Where Did This Sentence Come From? Tracing Provenance in LLM Reasoning Distillation

Kaiyuan Liu, Shaotian Yan, Rui Miao +4

Reasoning distillation has attracted increasing attention. It typically leverages a large teacher model to generate reasoning paths, which are then used to fine-tune a student mode…

cs.LG2026

Distribution-Aligned Sequence Distillation for Superior Long-CoT Reasoning

Shaotian Yan, Kaiyuan Liu, Chen Shen +6

In this report, we introduce DASD-4B-Thinking, a lightweight yet highly capable, fully open-source reasoning model. It achieves SOTA performance among open-source models of compara…