Accurate retrieval of human motions is a crucial first step in text-guided human motion modeling and synthesis, as it selects semantically relevant sequences from large datasets and provides grounded references for downstream tasks. Retrieving motions from natural language descriptions remains challenging because sente...
Muhammad Islam, Euijoon Ahn, Usman Naseem et al.· 0 citations
No post-training method achieves all three properties the authors would want from safe alignment at once: refusal that isn't concentrated in a few fragile components, safety gains that don't cost general capability, and safety behavior correctable through small, targeted edits.
Hoang Cuong Nguyen, M. Dras, Usman Naseem· 1 citation
This work synthesizes perspectives from philosophy, cognitive science, and AI to define agency, outline its key properties, and situate it in relation to existing paradigms such as reinforcement learning, symbolic reasoning, Belief–Desire–Intention (BDI) architectures, and embodied cognition.
This work introduces Pak3H1, the first human-validated, culturally contextualized Urdu benchmark suite for 3H alignment, comprising PakAlpaca (helpfulness), PakBeaverTails (harmlessness), and PakTruthfulQA (honesty), and underscores the necessity of human-guided localization for equitable multilingual evaluation.
Abdullah Hashmat, Usman Naseem, Agha Ali Raza· 0 citations
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