collaborators

6 papers

cs.CV2026

WildHandBench: A Benchmark for Handwritten Text Understanding that Challenges MLLMs and Humans

Jun Zhang, Qiao Zhao, Cheng Cui +6

While the top model on OmniDocBench now reaches 96.34% overall on printed-document parsing, the ability of current models to handle challenging handwritten documents remains largel…

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.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…

cs.CL2025

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…