Dayiheng Liu

No single LLM excels across all dimensions of long-horizon business operations, revealing critical trade-offs in performance metrics like asset growth and fraud avoidance.

Strong 3D perception and competitive motion planning in autonomous driving are achieved without sacrificing general vision-language understanding.

Achieving superior performance with one-third the resources, Qwen3.8-Flash-Next redefines efficiency in large-scale language models.

Released tokenizer vocabularies can yield precise estimates of hidden corpus compositions, revealing insights that were previously obscured.

Native computer use can be achieved at scale, enabling agents to outperform leading systems while significantly enhancing security against adversarial attacks.

HSS-Synth generates 237k high-quality instruction samples that not only outperform existing baselines but also redefine data synthesis for the humanities and social sciences.

BridgeAlign achieves unprecedented alignment in humanities and social sciences, enabling LLMs to excel in both human-preference and knowledge-based tasks simultaneously.

LLMs struggle with financial reasoning under real-world conditions, revealing critical flaws in their ability to handle complex, long-horizon tasks.