Mind the Gap: Towards Generalizable Autonomous Penetration Testing via Domain Randomization and Meta-Reinforcement Learningby Shicheng…
MISR: Measuring Instrumental Self-Reasoning in Frontier Modelsby Kai Fronsdal, David LindnerFirst submitted to arxiv on:…
BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batchingby Zhen…
Optimizing Large Language Models for Turkish: New Methodologies in Corpus Selection and Trainingby H. Toprak…
Mind the Gap: Examining the Self-Improvement Capabilities of Large Language Modelsby Yuda Song, Hanlin Zhang,…
Efficient LLM Inference using Dynamic Input Pruning and Cache-Aware Maskingby Marco Federici, Davide Belli, Mart…
Yi-Lightning Technical Reportby Alan Wake, Bei Chen, C.X. Lv, Chao Li, Chengen Huang, Chenglin Cai,…
Quantifying perturbation impacts for large language modelsby Paulius Rauba, Qiyao Wei, Mihaela van der SchaarFirst…
STEP: Enhancing Video-LLMs’ Compositional Reasoning by Spatio-Temporal Graph-guided Self-Trainingby Haiyi Qiu, Minghe Gao, Long Qian,…
Libra: Leveraging Temporal Images for Biomedical Radiology Analysisby Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond…