164 citations · 174 across the 6 of their papers we have counts for
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cs.CL2026
Rubric Rewards from Item Response Theory
Milad Yazdani, Yaser Souri, Xiren Zhou +4
Many language tasks have no single answer that can be checked automatically. Rubrics provide criteria for judging responses to these tasks. For reinforcement learning, the resultin…
cs.CL2025★ 7 cited
Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAs
Microsoft, :, Abdelrahman Abouelenin +73
We introduce Phi-4-Mini and Phi-4-Multimodal, compact yet highly capable language and multimodal models. Phi-4-Mini is a 3.8-billion-parameter language model trained on high-qualit…
cs.CL2023★ 164 cited
Language Is Not All You Need: Aligning Perception with Language Models
Shaohan Huang, Li Dong, Wenhui Wang +15
A big convergence of language, multimodal perception, action, and world modeling is a key step toward artificial general intelligence. In this work, we introduce Kosmos-1, a Multim…