…Identity-Aware Human Motion and Shape Joint Generation (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face…
…Safe and abliterated targets separate with AUROC values between 0.89 and 1.00, target identity is the dominant variance component (η^2 approx 0.52), and severity profiles stabilize by ten…
…LLMs towards Identities through Humor (2026) Please give a thumbs up to this comment if you found it helpful! If you want recommendations for any Paper on Hugging Face checkout this Space…
…Through comprehensive evaluations of state-of-the-art VLMs, we identify stress-specific failure modes and reveal that different physical factors degrade different embodied capabilities, which are often obscured by aggregate accuracy…
…response granularity and non-negligible sampling latency. In this paper, we study a more aggressive setting: frame-wise autoregression with only 1--2 sampling steps. In this regime, we identify the initialization…
…We release SWE-WebDev Bench as a community benchmark to enable such replication and help platform builders identify and address these gaps. Code and benchmark resources are available at: https://github.com…
…structurally identical ISO, OWASP, CWE, or NIST citations. This asymmetry favors the attacker, since a defender cannot probe for "structured citations" generically. We characterize the attack across base-model scale and family…
…Ziqian Zhong on Jun 9 Carnegie Mellon University Authors: , , , , , Abstract Researchers identify widespread vulnerabilities in agent benchmark verification systems and develop an automated iterative process using LLM agents to create robust verifiers…
…To validate this claim and identify its causes, we study the effects of model scaling on a synthetic setup consisting of a mixture of tasks that show monotonic scaling curves. The results…
…We identify premature stopping as a major weakness and show that consistency verification mitigates it. CausaLab therefore separates predictive success from causal understanding and exposes current LLM agents' limits as experimental causal…