VANCOUVER, BC / ACCESS Newswire / January 26, 2026 /Marimaca Copper Corp. ("Marimaca Copper" or the "Company") (TSX:MARI)(ASX ...
This paper studies the fair influence maximization problem with efficient algorithms. In particular, given a graph G, a community structure C consisting of disjoint communities, and a budget k, the ...
I propose implementing the unbiased KL divergence estimator with importance sampling correction as described in the DeepSeek-V3.2 paper (Equation 7). Currently, GRPOTrainer calculates the per-token KL ...
When reduced-sugar gummy startup Häppy Candy debuted last fall it launched a free sampling campaign online supported by nano-influencers to help drive foot traffic to local retailers, gather consumer ...
Sampling from probability distributions with known density functions (up to normalization) is a fundamental challenge across various scientific domains. From Bayesian uncertainty quantification to ...
The acceptance sampling plan (ASP) is a statistical tool used in industry for quality control to determine the quality of products by selecting a specified number for testing in order to accept or ...
SITE Centers considers portions of the information in this press release to be forward-looking statements within the meaning of Section 27A of the Securities Act of 1933 and Section 21E of the ...
Reinforcement learning from human feedback RLHF is essential for ensuring quality and safety in LLMs. State-of-the-art LLMs like Gemini and GPT-4 undergo three training stages: pre-training on large ...
Predicting the timing of phenological events is important in agriculture, especially high-revenue products. A project sponsored by USDA-ARS had the objective of adapting a previously developed model ...
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