“The framework reduces runtime from 84 to 48 hr on the same CPU platform and to 7 hr on an NVIDIA A100 GPU, while producing results consistent with those from the original pipeline.”

“ConfigTuner demonstrates up to a 1.36x increase in throughput compared to Megatron-LM.”

“The algorithm's runtime scaling is O(N4^N), a significant improvement over the brute-force approach.”

“DynaFix repairs 186 single-function bugs, a 10% improvement over state-of-the-art baselines, including 38 bugs previously unrepaired.”

“Preguss enables highly automated RTE-freeness verification for real-world programs with over a thousand LoC, with a reduction of 80.6%~88.9% human verification effort.”

“Unifico reduces binary size overhead from ~200% to ~10%, whilst eliminating the stack transformation overhead during ISA migration.”

“The paper shows that, for arbitrary small ε>0, there exists an algorithm for IPs with m constraints that runs in f(m,ε)⋅poly(|I|) time, and returns a near-feasible solution that violates the constraints by at most εΔ.”

“The framework yields UNSAT certificates for a collection of anchored subfamilies. We also report pronounced runtime variability across configurations, including heavy-tailed behavior that currently dominates the computational effort and motivates further encoding refinements.”

“The paper provides the first provable poly-time unbiased estimators for counting traces, a problem of considerable importance when allocating model checking resources.”

“Community-IM++ achieves near-greedy influence spread at up to 100 times lower runtime, while outperforming Community-IM and degree heuristics.”

“Yggdrasil achieves up to $3.98\times$ speedup over state-of-the-art baselines.”

“The model provides amortized predictions of conditional distributions over any arbitrary points in the data. Compared to previous NP models, our model is simple to implement and can be used to sample from conditional distributions using an ODE solver, without requiring auxiliary conditioning methods.”

“The paper introduces the EnCoMSAS tool, which allows to gather the energy consumed by distributed software applications and enables the evaluation of energy consumption of SAS variants at runtime.”

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“The running time of our algorithm for the global minimum cut problem is asymptotically better than the fastest sequential deterministic global minimum cut algorithm.”

“Error mitigation is achieved by appending a six-parameter trainable Gaussian recovery layer comprising local phase rotations and displacements, optimized by minimizing a quadratic loss on the signal-mode quadratures.”

“The model autonomously rejects approximately 70% of the training distribution and concentrates 95% of runtime execution on a single-bank strategy.”

“Active VGC dynamically manages runtime objects using a concurrent mark and sweep strategy tailored for parallel workloads, reducing pause times by up to 30 percent compared to generational collectors in multithreaded benchmarks.”

“LogosQ leverages Rust static analysis to eliminate entire classes of runtime errors, particularly in parameter-shift rule gradient computations for variational algorithms.”

“MQNS supports runtime-configurable purification, swapping, memory management, and routing, within a unified qubit lifecycle and integrated link-architecture models.”

“Building agents with the Claude...”

“We start by initializing and inspecting the GraphBit runtime, then define a realistic customer-support ticket domain with typed data structures and deterministic, offline-executable tools.”

“This series introduces a new runtime standby ABI to allow firing Modern Standby firmware notifications that modify hardware appearance from userspace without suspending the kernel.”

“CFIghter automatically repairs 95.8% of unintended CFI violations in the util-linux codebase while retaining strict enforcement at over 89% of indirect control-flow sites.”

“Unified inference API”

“Nvidia isn't just buying a chip. They are admitting that one architecture cannot solve both problems.”

“MEGA-PCC achieves superior rate-distortion performance and runtime efficiency compared to both traditional and learning-based baselines.”

“Only 68.3% of projects execute out-of-the-box, with substantial variation across languages (Python 89.2%, Java 44.0%). We also find a 13.5 times average expansion from declared to actual runtime dependencies, revealing significant hidden dependencies.”

“QFWP achieves lower RMSE and higher directional accuracy at all batch sizes, while QLSTM reaches the highest throughput at batch size 64, revealing a clear speed accuracy Pareto frontier.”

“Cerberus utilizes multi-agent reasoning and coverage-guided exploration.”

“The article is sourced from ArXiv, suggesting it's a peer-reviewed research paper.”

“The article's focus is on cross-version analysis and implications for memory forensics.”

“Inside Gemini Deep Research Agent and Interactions API.”

“The research focuses on 'Reasoning-Style Poisoning of LLM Agents via Stealthy Style Transfer'.”

“Focuses on operator fallbacks in heterogeneous systems.”

“FutureWeaver focuses on planning test-time compute for multi-agent systems.”

“The article's core revolves around 'mode-conditioning,' implying a methodology focused on runtime adjustments.”

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“LLM inference that gets faster as you use it. Our runtime-learning accelerator adapts continuously to your workload, delivering 500 TPS on DeepSeek-V3.1, a 4x speedup over baseline performance without manual tuning.”

“Convo-Lang: LLM Programming Language and Runtime”

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“The model is simply token embeddings that are average pooled... While the results are not impressive compared to transformer models, they perform well on MTEB benchmarks compared to word embedding models (which they are most similar to), while being much smaller in size (smallest model, 32k vocab, 64-dim is only 4MB).”

“Siddhika introduces Qualcomm's AI Hub, a platform developed to simplify the process of testing and optimizing AI models across different devices.”

“The article likely includes technical details about the implementation and performance gains achieved.”

“SD4J – Stable Diffusion pipeline in Java using ONNX Runtime”

“The article likely contains technical details about the implementation and performance gains achieved by using ONNX Runtime.”

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“Marvin aims to build AI functions that utilize an LLM as a runtime.”

“The article likely contains quotes from Hugging Face developers or researchers, possibly highlighting the performance improvements or ease of use of the Optimum+ONNX Runtime integration.”

“We discuss the trade-offs between delivering accuracy or quality and the kind of runtime characteristics that you require as a service provider, in the context of engineering and delivering a service at the scale of Azure Speech.”