collaborators

17 papers

cs.AI2026

ICAE-Bench: Evaluating Coding Agents as Interactive Project Builders

Zhongyuan Peng, Dan Huang, Chuyu Zhang +8

The recent emergence of vibe-coding workflows is changing what coding agents are expected to do. Instead of merely completing code under fully specified instructions, agents are in…

cs.AI2026

SAGE: A Quantitative Evaluation of Socialized Evolution in Agent Ecosystems

Linyue Pan, Yaoming Zhu, Lin Qiu +2

Self-improving language agents are typically evaluated in isolation: an agent attempts a task, receives feedback, and iteratively refines its own behavior. Yet agents increasingly…

cs.CV2026

WBench: A Comprehensive Multi-turn Benchmark for Interactive Video World Model Evaluation

Kaining Ying, Hengrui Hu, Siyu Ren +6

Interactive world models are advancing rapidly, yet existing benchmarks cover only part of the required competencies, leaving no unified standard for systematic evaluation. To fill…

cs.SE2026

SWE-Cycle: Benchmarking Code Agents across the Complete Issue Resolution Cycle

Hao Guan, Lingyue Fu, Shao Zhang +8

As autonomous code agents move toward end-to-end software development, evaluating their practical autonomy becomes critical. Current benchmarks hide friction by testing agents in p…

cs.CV2026

LongCat-Next: Lexicalizing Modalities as Discrete Tokens

Meituan LongCat Team, Bin Xiao, Chao Wang +86

The prevailing Next-Token Prediction (NTP) paradigm has driven the success of large language models through discrete autoregressive modeling. However, contemporary multimodal syste…

cs.SE2026

Automatically Benchmarking LLM Code Agents through Agent-Driven Annotation and Evaluation

Lingyue Fu, Bolun Zhang, Hao Guan +7

Recent advances in code agents have enabled automated software development at the project level, supported by large language models (LLMs). However, existing benchmarks for code ag…