“SALP-CG reliably helps classify categories and grading sensitivity in online conversational health data across LLMs, offering a practical method for health data governance.”

“Experiential results show that LLMs can reliably convert natural language into structured robot actions; after applying prompt-engineering templates instruction-parsing accuracy improves significantly; as task complexity increases, overall accuracy rate exceeds 88.9% in the highest complexity tests.”

“The author states, "In conclusion, write it in CLAUDE.md. 100%. Seriously. After trying various methods, the most reliable approach is to write directly in CLAUDE.md." They also mention the team's initial excitement and subsequent failure to activate a TDD workflow skill.”

“Standard methods capture the qualitative electride character and many key energetic and structural trends with surprising reliability.”

“Experimental results demonstrate that existing models still exhibit substantial deficiencies in multi-omics analysis, struggling to reliably distinguish fine-grained biomolecular relation types and to generate faithful, robust pathway-level mechanistic explanations.”

“The paper's key finding is that using reduced learning rates for proxy model training yields relative performance that strongly correlates with that of fully tuned large-scale LLM pretraining runs.”

“SourceRank cannot be reliably used to discriminate between benign and malicious packages in real-world scenarios.”

“The AT-Proto prototype telescope has operated stably and reliably in the frigid environment for over two years, demonstrating the significant advantages of this technology in polar astronomical observations.”

“Is anyone seriously using GLM 4.5 Air locally for agentic coding (e.g., having it reliably do 10 to 50 tool calls in a single agent round) and has some hints regarding well-working coding TUIs?”

“The article's abstract or introduction would likely contain key technical details and the specific methods employed, such as the type of 'shortcuts to adiabaticity' used and the experimental or theoretical setup.”

“The paper introduces "intermittent locomotion as a mechanism that allows robots to reliably detect peers that fail to keep up, and disrupt the motion of the swarm."”

“Evaluations with a PRM reveal that hybrid reasoning chains often preserve, and in some cases even improve, final accuracy and logical structure.”

“"To evolve into 'agents that autonomously solve problems' requires more than just calling ChatGPT or Claude from an API. Knowledge of design patterns is essential for creating AI agents that can reliably handle complex tasks, ensure quality, and collaborate with humans."”

“Google's AI assistant Gemini is being tested in Waymo's robotaxis.”

“"Aim: To reliably rotate the daily flow and convert minimal output into stock."”

“We leverage interpolative decoding, representing each dimension of personality as a pair of opposed prompts and employing an interpolation parameter to simulate behavior along the dimension.”

“"Ever since I upgraded to Alexa Plus, Amazon's generative-AI-powered voice assistant, it has failed to reliably run my coffee routine, coming up with a different excuse almost every time I ask."”

“Physical AI is moving from research labs into the real world, powering intelligent robots and autonomous vehicles (AVs) — such as robotaxis — that must reliably sense, reason and act amid unpredictable conditions.”

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“The paper is sourced from ArXiv.”

“The study focuses on the reliability of LLMs in detecting vulnerabilities in JavaScript code.”

“Large Language Models Require Curated Context for Reliable Political Fact-Checking -- Even with Reasoning and Web Search”

“The long tail of edge cases is endless — massive tables split across pages, 100pg+ files, messy handwriting, scribbled signatures, checkboxes represented in 10 different formats, multiple file types… the list just keeps going.”

“We’ve developed a method to assess whether a neural network classifier can reliably defend against adversarial attacks not seen during training. Our method yields a new metric, UAR (Unforeseen Attack Robustness), which evaluates the robustness of a single model against an unanticipated attack, and highlights the need to measure performance across a more diverse range of unforeseen attacks.”

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“We’ve created images that reliably fool neural network classifiers when viewed from varied scales and perspectives. This challenges a claim from last week that self-driving cars would be hard to trick maliciously since they capture images from multiple scales, angles, perspectives, and the like.”