collaborators

13 papers

cs.CL2026

Kimi K3: Open Frontier Intelligence

Kimi Team, Tongtong Bai, Yifan Bai +398

We introduce Kimi K3, a 2.8T parameter Mixture-of-Experts model with 104 billion activated parameters, native vision capabilities, and a 1-million-token context window. Kimi K3 is…

cs.CL2026

When Calibration Rankings Reverse: Accuracy-Controlled Evaluation for Fair Comparison of LLMs

Zhichao Yang, Caiqi Zhang, Ruihan Yang +3

Calibration evaluates whether a model confidence aligns with its empirical accuracy. Existing studies often compare the calibration of different large language models using global…

cs.SE2026

GUI Agents for Continual Game Generation

Yixu Huang, Bo Li, Na Li +8

Generating a game is not the same as making one that can be played. Despite advances in code generation, existing approaches treat game generation as one-shot translation from prom…

cs.SE2026

RoadmapBench: Evaluating Long-Horizon Agentic Software Development Across Version Upgrades

Xinbo Xu, Ruihan Yang, Haiyang Shen +13

Coding agents are increasingly deployed in real software development, where a single version iteration requires months of coordinated work across many files. However, most existing…

cs.CL2026

Confidence Estimation for LLMs in Multi-turn Interactions

Caiqi Zhang, Ruihan Yang, Xiaochen Zhu +5

While confidence estimation is a promising direction for mitigating hallucinations in Large Language Models (LLMs), current research overwhelmingly focuses on single-turn settings.…

cs.CV2026

Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Boqiang Zhang, Lei Ke, Ruihan Yang +5

Vision Language Model (VLM) development has largely relied on scaling model size, which hinders deployment on compute-constrained mobile and edge devices such as smartphones and ro…