Instruction-following benchmarks remain predominantly English-centric, leaving a critical evaluation gap for the hundreds of millions of Indic language speakers...
Small language models (SLMs) offer compelling advantages in cost, latency, and adaptability, but have so far lagged behind larger models on long-horizon softwar...
Understanding the geometry of learned distributions is fundamental to improving and interpreting diffusion models, yet systematic tools for exploring their land...
Despite the extensive literature on training loss functions, the evaluation of generalization on the validation set remains underexplored. In this work, we cond...
Automated test generation is essential for software quality assurance, with coverage rate serving as a key metric to ensure thorough testing. Recent advancement...
The optimization of complex medical appointment scheduling remains a significant operational challenge in multi-center healthcare environments, where clinical s...
Differentially private federated learning faces a fundamental tension: privacy protection mechanisms that safeguard client data simultaneously create quantifiab...
The rapid advancement of large language models (LLMs) has led to a significant increase in automated tools in the software engineering, capable of performing va...
Scaling long-context capabilities is crucial for Multimodal Large Language Models (MLLMs). However, real-world multimodal datasets are extremely heterogeneous. ...
Neural routing solvers (NRSs) that leverage deep learning to tackle vehicle routing problems have demonstrated notable potential for practical applications. By ...
!https://cdn.platum.kr/wp-content/uploads/2026/02/socar-1024x545.png 2025년 실적 요약 - 연간 영업이익: 232억 원 연결 기준 – 6개 분기 연속 영업흑자 유지 - 연간 매출액: 4,707억 원 전년 대비 9.0% 증가 - 매...
Originally from the small Balkan country of Montenegro, Strahinja Strajo Janjusevic says his life has unfolded in unexpected ways, for which he is deeply gratef...
