RRHF: Rank Responses to Align Language Models with Human Feedback without tears [PDF]
Reinforcement Learning from Human Feedback (RLHF) facilitates the alignment of large language models with human preferences, significantly enhancing the quality of interactions between humans and models. InstructGPT implements RLHF through several stages,
Zheng Yuan +5 more
semanticscholar +1 more source
The Genome Taxonomy Database (GTDB; https://gtdb.ecogenomic.org) provides a phylogenetically consistent and rank normalized genome-based taxonomy for prokaryotic genomes sourced from the NCBI Assembly database.
Donovan H. Parks +5 more
semanticscholar +1 more source
Simultaneously Localize, Segment and Rank the Camouflaged Objects [PDF]
Camouflage is a key defence mechanism across species that is critical to survival. Common strategies for camouflage include background matching, imitating the color and pattern of the environment, and disruptive coloration, disguising body outlines [37].
Y. Lyu +6 more
semanticscholar +1 more source
Robust Recovery of Subspace Structures by Low-Rank Representation [PDF]
In this paper, we address the subspace clustering problem. Given a set of data samples (vectors) approximately drawn from a union of multiple subspaces, our goal is to cluster the samples into their respective subspaces and remove possible outliers as ...
Guangcan Liu +5 more
semanticscholar +1 more source
Guaranteed Minimum-Rank Solutions of Linear Matrix Equations via Nuclear Norm Minimization [PDF]
The affine rank minimization problem consists of finding a matrix of minimum rank that satisfies a given system of linear equality constraints. Such problems have appeared in the literature of a diverse set of fields including system identification and ...
B. Recht, Maryam Fazel, P. Parrilo
semanticscholar +1 more source
An Aligned Rank Transform Procedure for Multifactor Contrast Tests [PDF]
Data from multifactor HCI experiments often violates the assumptions of parametric tests (i.e., nonconforming data). The Aligned Rank Transform (ART) has become a popular nonparametric analysis in HCI that can find main and interaction effects in ...
Lisa Elkin +3 more
semanticscholar +1 more source
HRank: Filter Pruning Using High-Rank Feature Map [PDF]
Neural network pruning offers a promising prospect to facilitate deploying deep neural networks on resource-limited devices. However, existing methods are still challenged by the training inefficiency and labor cost in pruning designs, due to missing ...
Mingbao Lin +6 more
semanticscholar +1 more source
Rank-Normalization, Folding, and Localization: An Improved Rˆ for Assessing Convergence of MCMC (with Discussion) [PDF]
Markov chain Monte Carlo is a key computational tool in Bayesian statistics, but it can be challenging to monitor the convergence of an iterative stochastic algorithm.
Aki Vehtari +4 more
semanticscholar +1 more source
The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices [PDF]
The limitation of using low electron doses in non-destructive cryo-electron tomography of biological specimens can be partially offset via averaging of aligned and structurally homogeneous subsets present in tomograms.
Zhouchen Lin, Minming Chen, Yi Ma
semanticscholar +1 more source
Effects of yeast stress and organic acids on chloropropanols formation in cereal products
A major precursor of monochloropropanediols (MCPDs) in leavened cereal products is glycerol, which is formed as a natural by-product of yeast fermentation. However, yeast metabolism is affected by stresses such as low osmotic pressure from e.g.
C. G Hamlet, P. A Sadd
doaj +1 more source

