“What if instead of manually firefighting every drift and miss, your agents could adapt themselves? Not replace engineers, but handle the continuous tuning that burns time without adding value.”

“The article's content is missing, thus a direct quote cannot be provided.”

“By selectively flipping a fraction of samples from...”

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“Article URL: https://spectrum.ieee.org/ai-coding-degrades”

“I am building an UI ai agent, with gemini 3.0-preview... now out of a sudden my agent's performance has gone down by a big margin, it works but it has lost the performance...”

“ModEn-Hub-style orchestration sustains about 90% teleportation success while the baseline degrades toward about 30%.”

“Sensor-only detection outperforms full fusion by 8.3 percentage points (93.08% vs. 84.79% F1-score), challenging the assumption that additional modalities invariably improve performance.”

“Full-stack libraries and compilers are the most defect-prone categories due to circuit, gate, and transpilation-related issues, while simulators are mainly affected by measurement and noise modeling errors.”

“The $R$ and $ρ$ of $Cu/Ge/SiO_2$ films were found to degrade much more slowly than similar characteristics of $Cu/SiO_2$ films of the same thickness.”

“LightningDiT-XL/1+IG achieves FID=1.34 which achieves a large margin between all of these methods. Combined with CFG, LightningDiT-XL/1+IG achieves the current state-of-the-art FID of 1.19.”

“Key findings demonstrate that sub-goal decomposition and irrelevant premise filtering critically influence final problem-solving accuracy, whereas Chain-of-Thought prompting unexpectedly degrades performance in some tasks.”

“Latent autoregression induces latent trajectories that are significantly more compatible with the Gaussian-process prior and exhibit greater long-horizon stability.”

“RL-tuned models maintain more stable behavioral profiles and resist collapse in reasoning skills, whereas SFT models exhibit sharper drift and overfit to surface patterns.”

“Out-of-distribution prompts can manipulate the routing strategy such that all tokens are consistently routed to the same set of top-$k$ experts, which creates computational bottlenecks.”

“Even minor prompt modifications, such as the substitution or insertion of a single word, can cause substantial degradation in semantic fidelity and temporal dynamics, highlighting critical vulnerabilities in current T2V diffusion models.”

“The Infini-attention model achieves up to 31% higher accuracy than the baseline at a 16,384-token context.”

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“DDSPO directly derives per-timestep supervision from winning and losing policies when such policies are available. In practice, we avoid reliance on labeled data by automatically generating preference signals using a pretrained reference model: we contrast its outputs when conditioned on original prompts versus semantically degraded variants.”

“What has your experience been with using q8 KV cache and a vision model? Would you say it’s good enough or does it ruin outputs?”

“GRPO recovers in-distribution performance but degrades cross-dataset transferability.”

“Conversations still seem to break down once you get into the hundreds of thousands of tokens.”

“Unfortunately for images of people it does lose facial likeness over time.”

“The paper aims to uniquely identify unknown spatial anomalies -- interpreted as zones of habitat degradation -- and their associated ecological parameters in multi-species predator-prey systems.”

“MTL significantly degrades regression performance (resistivity $R^2$: 0.897 $ o$ 0.844; hardness $R^2$: 0.832 $ o$ 0.694, $p < 0.01$) but improves classification (amorphous F1: 0.703 $ o$ 0.744, $p < 0.05$; recall +17%).”

“Instruction-following capabilities improve substantially (+46% to +75% in IFEval for Llama-3.2-1B and 3B models).”

“Anyone with an understanding of business and product management would get this, immediately. Yet a lot of these performance benchmarks and hype articles don't even mention this at all.”

“CRC consistently improves accuracy, while an in-depth ablation study confirms that its core safety mechanisms ensure exceptionally high non-degradation rates (NDR), making CRC a correction framework suited for safe and reliable deployment.”

“The paper demonstrates that small tweaks to the training procedure with very little overhead can virtually eliminate the problem of catastrophic forgetting.”

“Heterogeneous fragmentation of empty sites in moderately degraded habitats can function as a potent cooperation-promoting mechanism even in the presence of initially more favorable strategies.”

“Performance drops by up to 40% in high-density settings, and Python and JavaScript show distinct failure modes, with models exhibiting severe "under-counting".”

“By concentrating adversarial perturbations on these positions, we achieve semantic degradation comparable to global methods while using substantially smaller budgets. More importantly, across multiple representative VLMs, such selective attacks convert 35-49% of benign outputs into harmful ones, exposing a more critical safety risk.”

“In order to operate large language models at a practical cost, quantization technology that reduces the number of bits of data is indispensable.”

“DT-GAN consistently recovers underlying structure and exhibits stable behavior under identical optimization budgets where a standard GAN degrades.”

“Our primary objective is to mitigate bifurcation-related issues by preprocessing the training data to enhance reconstruction quality, particularly for small-scale network architectures.”

“A surge of AI-generated content is frustrating Pinterest users and left some questioning whether the platform still works at all.”

“PHANTOM achieves over 90\% attack success rate under optimal conditions and maintains 60-80\% effectiveness even in degraded environments.”

“The research focuses on real-time streamable generative speech restoration.”

“The study focuses on the effects of speech enhancement on modern medical ASR systems.”

“In neural networks, some neurons end up outputting near-zero activations across all inputs. These so-called “dead neurons” degrade model capacity because those parameters are effectively wasted, and they weaken generalization by reducing the diversity of learned features.”

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“"Increasing input tokens can paradoxically decrease LLM performance."”

“Model performance is non-uniform across context lengths, including state-of-the-art GPT-4.1, Claude 4, Gemini 2.5, and Qwen3 models.”

“We explore how RAG, contrary to some expectations, can inadvertently degrade model safety.”

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