“A small number of samples can poison LLMs of any size.”

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

“An intellectual property lawyer says OpenAI is "putting itself at great risk" with this approach.”

“The article highlights the model's ability to sample a move distribution instead of crunching Stockfish lines, and its 'Stockfish-trained' nature, meaning it imitates Stockfish's choices without using the engine itself. It also mentions temperature sweet-spots for different model styles.”

“The author is working on a disease prediction model with a small tabular dataset and is questioning the feasibility of using classical ML techniques.”

“The paper proposes using the gradient cosine similarity of low-confidence examples to predict data efficiency based on a small number of labeled samples.”

“The introduction of a transformation strain limit, beyond which the material is fully martensitic and behaves elastically, leading to a distinctive behavior in which the region of localized damage widens, yielding a delay of fracture.”

“BatteryAgent effectively corrects misclassifications on hard boundary samples, achieving an AUROC of 0.986, which significantly outperforms current state-of-the-art methods.”

“The LLM-based extractor achieves higher accuracy with fewer labeled samples, whereas the Sentence-BERT with SVM classifiers provides significantly lower latency suitable for real-time operation.”

“DARFT suppresses strong distractors and sharpens decision boundaries without additional supervision.”

“The paper proposes a novel sparse-penalization framework for high-dimensional Pconf classification.”

“Rectangular samples with $L_x eq L_y$ host a finite spin polarization, which vanishes in the symmetric limit $L_x=L_y$ and in the thermodynamic limit.”

“GARDO's key insight is that regularization need not be applied universally; instead, it is highly effective to selectively penalize a subset of samples that exhibit high uncertainty.”

“The conductivity exhibits heavy-tailed fluctuations characterized by a power-law decay with exponent $α\approx 2.3$--$2.5$, indicating a finite mean but a divergent variance.”

“The findings reveal a surprising dichotomy: while the number of samples needed to accurately tilt a bounded random vector increases polynomially in the tilt amount, it increases at a super polynomial rate for unbounded distributions.”

“The paper claims an enhanced convergence rate of order $\mathcal{O}(h)$ in the $L^2$-Wasserstein distance, significantly improving the existing order-half convergence.”

“The paper proposes a variant of the SAC algorithm that parameterizes the policy with flow-based models, leveraging their rich expressiveness.”

“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.”

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“By leveraging large language models (LLMs) to generate additional training data, we improved performance and demonstrated that morph resolution significantly enhances live streaming regulation.”

“FedORA formulates the removal of certain samples or labels as a constrained optimization problem solved using a primal-dual framework.”

“The paper introduces the first specialized dataset for weak signal feature learning, containing 13,158 spectral samples, and proposes a dual-view representation and a PDVFN model.”

“If you are looking to understand the lyrics to your favorite songs, turn to Genius, a crowdsourced website of lyrical annotations.”

“OLS can withstand up to $k \ll \sqrt{np}/\log n$ sample removals while remaining robust and achieving the same error rate.”

“The title suggests a focus on theoretical analysis within the field of probability and statistics, specifically related to Markov processes and the Wasserstein distance.”

“Samples influenced by spurious features tend to exhibit a dispersed distribution in the learned feature space.”

“Both quantum models produced samples with lower average minimum distances to the true distribution compared to the LSTM, with the QCBM achieving the most favorable metrics.”

“The method achieves state-of-the-art performance in indoor benchmarks under constrained training conditions.”

“This exploratory, p-value-adjacent approach to validating the data universe (train and hold out split) resamples different holdout choices many times to create a histogram to shows where your split lies.”

“Self-E is the first from-scratch, any-step text-to-image model, offering a unified framework for efficient and scalable generation.”

“The study demonstrates that the hybrid field coupling of the IR illumination with a polymer nanosphere and a metallic AFM probe is nearly as strong as the plasmonic coupling in case of a gold nanosphere.”

“The paper proposes rules for rebalancing that gate trades through magnitude-based thresholds and posterior activation probabilities, thereby trading off expected tracking error against turnover and portfolio size.”

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“Pixio is a self-supervised vision model that extends MAE, and features including patch tokens + class tokens can be easily extracted.”

“LLMの精度を高める方法の一つとして「プロンプトエンジニアリング」があります。(One way to improve the accuracy of LLMs is "prompt engineering.")”

“Conceptually I understand neural networks, back propagation, etc, but I have ZERO experience with Keras, PyTorch, and TensorFlow. And when I read code samples, it seems vastly different than any modeling pipeline based in scikit-learn.”

“The paper focuses on multi-layer confidence scoring for identifying out-of-distribution samples, adversarial attacks, and in-distribution misclassifications.”

“The article's context is a research paper on ArXiv.”

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“The paper is available on ArXiv.”

“The paper focuses on out-of-distribution (OOD) detection.”

“The article's focus is on using the Hellinger loss function in the context of GANs.”

“The article's source is ArXiv.”

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