Errors in determining coal quality

Popov, V. K.; Butakova, V. I.; Posokhov, Yu. M.; Rachev, I. L.

doi:10.3103/s1068364x12070071

Coke Chem.

2012

DOI: 10.3103/s1068364x12070071

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Errors in determining coal quality

V. K. Popov

V. I. Butakova

Yu. M. Posokhov

et al.

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Cited by 7 publications

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“…Further, it was suggested that methylene groups are present in the polyene chain, while carboxyl groups predominantly take the form of dicarboxyl chelate structures [50]. These findings pro vided the basis for the SPECTROTEST method of determining coal characteristics (a version of diffuse reflection) [51][52][53]. This method is employed in industrial laboratories and has been incorporated in a GOST State Standard [54].…”

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Polyene model of coal structure

Butakova

2015

Coke Chem.

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The development of the polyene model of coal structure at the Eastern Coal Chemistry Institute (now OAO VUKhIN) between 1975 and 2015 is surveyed. In terms of the polyene model, the vitrinites in coal are amorphous polymers whose monomer component contains cis polyene chains in helical form and trans polyene chains in flat zigzag structures, whose skeleton includes not only polyene systems but also methylene groups. The supermolecular structure of the vitrinites is determined by the molecular interactions between the monomers and includes highly ordered double helices, twin flat zigzag structures, and more complex structures, leading to the formation of globules and flat blocks.

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Polyene model of coal structure

Butakova

2015

Coke Chem.

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Optimization of coal blending operations under uncertainty – robust optimization approach

Amini

Vass

Shahabi

et al. 2019

International Journal of Coal Preparation and Utilization

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Direct preference optimization (DPO) is a successful fine-tuning strategy for aligning large language models with human preferences without the need to train a reward model or employ reinforcement learning. DPO, as originally formulated, relies on binary preference data and fine-tunes a language model to increase the likelihood of a preferred response over a dispreferred response. However, not all preference pairs are equal: while in some cases the preferred response is only slightly better than the dispreferred response, there can be a stronger preference for one response when, for example, the other response includes harmful or toxic content. In this paper, we propose a generalization of DPO, termed DPO with an offset (ODPO), that does not treat every preference pair equally during fine-tuning. Intuitively, ODPO requires the difference between the likelihood of the preferred and dispreferred response to be greater than an offset value. The offset is determined based on the extent to which one response is preferred over another. Our experiments on various tasks suggest that ODPO significantly outperforms DPO in aligning language models, especially when the number of preference pairs is limited.

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Uncertainty in Standard Measurements of Solid Fuels

Possokhov¹

2018

Coke Chem.

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Errors in determining coal quality

Cited by 7 publications

References 0 publications

Polyene model of coal structure

Polyene model of coal structure

Optimization of coal blending operations under uncertainty – robust optimization approach

Uncertainty in Standard Measurements of Solid Fuels

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