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Abstract
stringlengths
36
9.99k
Simplification
stringlengths
14
18.8k
Simplified_from
stringclasses
10 values
Faithfulness
int64
-1
5
Completeness
int64
-1
5
Coherence
int64
-1
5
Simplicity
int64
-1
5
Flesch-Kincaid
float64
0
673
Automated Readability Index
float64
0
860
Gunning Fog
float64
0
186
Linsear Write
float64
0
418
Simplification Score
float64
-0.5
4.99
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are significant in semi-parametric statistics. This paper provides learning rate estimates for additive models using regularized, kernel-based methods. These estimates are competitive, especially in high dimensions, when compared to recent optimal learning rates for non-parametric quantile regression us...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
641.61
834.39
169.54
402.7
4.38
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are important in semiparametric statistics. This paper provides learning rates for regularized kernel methods applied to additive models. These rates compare well, especially in high dimensions, to recent results on optimal learning rates for nonparametric regularized kernel-based quantile regression us...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
3
639.81
831.84
167.04
400.1
3.99
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
This paper provides learning rates for regularized kernel-based methods of additive models, specifically focusing on semiparametric statistics in high dimensions.
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
3
3
3
636.47
828.64
164
399.5
3.18
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are important in semiparametric statistics. This paper discusses learning rates for regularized kernel-based methods used with additive models. These rates perform well, especially in high dimensions, compared to recent results on quantile regression using the Gaussian radial basis function kernel, assu...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
4
641.59
833.24
168.83
402.1
4.46
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are key in semiparametric statistics. This paper shows learning rates for regularized kernel-based methods in additive models. These rates perform well, especially in high dimensions, compared to recent optimal results for nonparametric quantile regression using Gaussian radial basis function kernels. A...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
3
642
834.18
169.68
404.7
4.43
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Simplification failed
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
-1
-1
-1
-1
630.92
823.75
185.2
416.5
-0.5
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are important in statistics. This paper shows how quickly regularized kernel methods learn these models. These learning rates are better than recent results for nonparametric quantile regression, especially when dealing with many variables, if the additive model assumption is correct. An example demonst...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
643.17
835.16
168.93
404.2
4.31
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
Additive models are important in semiparametric statistics. This paper provides learning rates for regularized kernel-based methods applied to additive models. These rates are particularly favorable in high-dimensional settings compared to recent results on optimal learning rates for nonparametric quantile regression u...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
4
639.78
831.45
168.11
400
4.39
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
This article discusses learning rates for regularized kernel based methods in additive models, comparing these to recent results on optimal learning rates for purely nonparametric regularized kernel based quantile regression using the Gaussian radial basis function kernel. The researchers give a concrete example that s...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
4
3
2
633.53
822.92
159.4
385.75
3.26
additive models play an important role in semiparametric statistics . this paper gives learning rates for regularized kernel based methods for additive models . these learning rates compare favourably in particular in high dimensions to recent results on optimal learning rates for purely nonparametric regularized ...
The text discusses how certain models, called additive models, are useful in statistics. This paper looks at how to learn from data using regularized kernel methods for these models. These ways of learning the data work well especially when there are many variables.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
4
4
4
4
647.78
840.7
174.69
409.33
4.09
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We analyzed leptonic decays using a specific decay channel, utilizing a tagged sample collected near the peak production energy in collisions with the CLEO-C detector. We determined the decay constant (mev) with both statistical and systematic uncertainties, after obtaining certain results.
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
4
4
3
3
640.44
833.45
164.14
400.25
3.23
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied the leptonic decay @xmath0 through the channel @xmath1 using data from @xmath2 decays collected near the @xmath3 production energy in @xmath4 collisions with the CLEO-c detector. We obtained @xmath5 and determined the decay constant @xmath6 (in MeV), where uncertainties are statistical first, then systematic...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
4
4
2
643.72
832.7
167.23
400.5
3.68
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
The leptonic decay @xmath0 via the decay channel @xmath1 using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector yields @xmath5 and determines the decay constant @xmath6 mev, where the first uncertainties are statistical and the second a...
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
4
5
1
634.16
820.49
157.76
382
3.63
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied the leptonic decay using a sample of tagged decays collected near the peak production energy in collisions with the Cleo-c detector. We obtained certain results and determined the decay constant in MeV, considering both statistical and systematic uncertainties.
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
4
4
4
3
642.07
834.77
166
401.5
3.55
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied leptonic decay through a specific channel using tagged decays collected at peak production energy in collisions with the CLEO-C detector. We found results and determined the decay constant of MeV, where the first uncertainties are statistical and the second are systematic.
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
3
4
3
643.13
834.92
167.17
401.25
3.33
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied the leptonic decay of a particle through a specific decay channel using data from tagged decays collected near the production peak energy in collisions with the CLEO-c detector. We determined the decay constant value in MeV, with uncertainties split into statistical and systematic categories.
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
4
4
4
641.41
834.14
165.5
399.5
3.88
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied the decay of a particle into leptons using data from tagged decays collected at a specific energy in collisions with the CLEO-c detector. We found a value of @xmath5 and determined the decay constant @xmath6 MeV, where the first uncertainties are statistical and the second are systematic.
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
4
3
3
643.2
835.67
168.04
400.25
3.35
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We studied the leptonic decay using the @xmath1 channel with tagged @xmath2 decays collected near peak production energy in @xmath4 collisions, detected by CLEO-c. We measured @xmath5 and found the decay constant to be @xmath6 MeV, with statistical uncertainties first and systematic second.
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
3
3
3
636.06
823.51
159.5
386
3.14
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We analyzed leptonic decays via channel decay, in collisions with tagged @xmath2 decays collected near @xmath3 peak production energy in @xmath4 collisions with cleo-c detector. We got a rate and determined the constant at 5 meV, with statistical and systematic uncertainties.
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
4
4
2
3
643.32
834.95
166.09
401.25
3.07
we have studied the leptonic decay @xmath0 , via the decay channel @xmath1 , using a sample of tagged @xmath2 decays collected near the @xmath3 peak production energy in @xmath4 collisions with the cleo - c detector . we obtain @xmath5 and determine the decay constant @xmath6 mev , where the first uncertainties are...
We analyzed lepton decay through channel, using tagged data from CLEO-c detector at peak energy in collisions. We find constants and their uncertainties.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
3
2
3
3
647.06
839.89
172.7
410.25
2.94
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
In 1984, Mateos conjectured that reversing current in a classical deterministic ratchet is linked to bifurcations from chaotic to periodic regimes. Barbi and Salerno (2000) later argued that current reversals can also happen without bifurcations, focusing on the dynamics of one particle rather than an ensemble's statis...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
2
638.07
828.68
163.58
393.38
4.03
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
In 2000, Mateos suggested that current reversal in classical deterministic ratchets relates to transitions from chaotic to periodic behavior. This idea was based on comparing current measurements with bifurcation diagrams for a periodic asymmetric potential. Barbi and Salerno also looked into this in 2000, arguing agai...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
3
643.24
835.28
168.22
404.31
4.17
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
current reversals are associated with bifurcations from chaotic to periodic regimes
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
2
2
2
1
643.05
835.09
167.05
409
1.95
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
In 2000, Mateos conjectured that current reversal in a deterministic ratchet is linked to changes from chaotic to periodic behaviors based on parameter variations in a potential. Barbi and Salerno challenged this by showing that current reversals can happen without these changes, focusing on single-particle dynamics in...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
642.11
833.93
165.7
400.92
4.28
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
In 2000, Mateos suggested that current reversal in a classical deterministic ratchet is linked to changes from chaotic to periodic behaviors. This was based on comparing current and bifurcation diagrams for an asymmetric potential. Barbie and Salerno disputed this in 1988 (2000), arguing that current reversals can occu...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
4
4
3
643.41
834.85
168.8
403.5
3.66
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
Simplification failed
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
-1
-1
-1
-1
630.92
823.75
185.2
416.5
-0.5
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
Mateos proposed that changes in the direction of current in a ratchet system relate to shifts from chaotic to regular behavior. Barbi and Salerno studied this and found current changes can happen even without these shifts. Their studies focused on single particles, while ensemble behavior may differ. This paper examine...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
3
646.25
838.16
172.46
406.36
4.64
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
In 2000, Mateos suggested that current reversal in a classical deterministic ratchet is linked to changes from chaotic to periodic behavior. This was based on comparing current patterns with bifurcation diagrams for a specific parameter in an asymmetric potential system. However, Barbi and Salerno later argued that cur...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
5
5
4
642.97
835.29
168.09
401.5
4.23
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
Mateos conjectured that current reversal in classical deterministic ratchet was associated with bifurcations from chaotic to periodic regimes, based on comparing current and bifurcation diagram as a function of given parameter for periodic asymmetric potential. Barbi and Salerno investigated Mateos's claim and argue th...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
4
4
2
640.7
832.76
165.91
402.3
3.65
in 84 , 258 ( 2000 ) , mateos conjectured that current reversal in a classical deterministic ratchet is associated with bifurcations from chaotic to periodic regimes . this is based on the comparison of the current and the bifurcation diagram as a function of a given parameter for a periodic asymmetric potential . ...
Mateos and Barbi-Salerno both explored current reversals due to bifurcations, but Mateos' study suggested that these reversals occur regardless of whether there were any changes in the system's chaotic behavior. We investigated this further by examining how currents vary based on ensemble characteristics and conditions...
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
3
3
4
3
642.27
832.8
168.11
401.17
3.06
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study examines how a phase diffuser affects laser light fluctuations (scintillations), considering both spatial and temporal changes in phase caused by the diffuser. The research derives how the scintillation index depends on these finite-time phase variations for long paths. It finds that large phase fluctuation a...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
2
643.97
834.58
168.69
402.33
4.27
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study examines how a random phase diffuser affects laser light fluctuations (scintillations). Both spatial and temporal phase changes from the diffuser are analyzed. For long paths, it's found that larger phase fluctuations reduce the diffuser's ability to suppress scintillations.
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
5
3
646.08
836.92
169.67
407.17
4.58
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied. Not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed. The explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagation pat...
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
644.51
836.75
168.24
403.5
4.45
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study examines how a random phase diffuser affects laser light fluctuations (scintillations). It analyzes both spatial and temporal changes in phase introduced by the diffuser. The research finds that for long distances, scintillation depends on time-limited phase changes. When phase fluctuations are large, this ti...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
645.78
836.58
170.23
407
4.58
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study examines how a random phase diffuser affects laser light fluctuations (scintillations). It looks at both spatial and temporal phase changes caused by the diffuser. For long distances, it finds out how scintillation depends on short-term phase variations. It shows that large phase fluctuations reduce the diffu...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
647.31
838.06
171.71
408.75
4.53
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study examines how a random phase diffuser affects laser light fluctuations (scintillations). Both spatial and temporal phase changes caused by the diffuser are analyzed. The scintillation index's dependence on short-term phase shifts over long paths is found. It's shown that large phase fluctuation amplitudes redu...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
3
645.53
836.25
170.4
406.75
4.32
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
This study examines how a random phase diffuser affects fluctuations in laser light. It analyzes both spatial and temporal phase changes caused by the diffuser. The study finds that the scintillation index depends on phase variations over time, especially for long distances. It also shows that when phase fluctuations a...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
3
646.63
838.21
171.33
406.75
4.38
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
The study looks at how a random phase diffuser affects laser light fluctuations, known as scintillations. Both spatial and temporal phase changes caused by the diffuser are examined. The research finds how the scintillation index depends on short-term phase changes over long distances. It is shown that when phase fluct...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
3
646.84
837.78
172.73
406.38
4.65
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
[The effect] of a [random phase diffuser on fluctuations of laser light (scintillations)] is studied, not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed, and the explicit dependence of the scintillation index on finite-time phase variations for long propagation paths is ob...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
5
4
3
637.11
827.63
160.8
388
3.89
the effect of a random phase diffuser on fluctuations of laser light ( scintillations ) is studied . not only spatial but also temporal phase variations introduced by the phase diffuser are analyzed . the explicit dependence of the scintillation index on finite - time phase variations is obtained for long propagat...
Researchers examine how random phase changes affect laser light fluctuations over long distances, considering both space and time effects.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
5
3
3
3
644.64
833.1
172.08
404
3.49
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
We study the generalized form factors of the nucleon, which are related to the moments of the generalized parton distribution functions, in the chiral quark soliton model. We focus on how these form factors change with the pion mass, comparing our results to lattice QCD simulations done in the heavy pion region. Some r...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
4
4
3
644.86
836.73
170.85
401.88
3.98
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
The study aims to clarify the spin structure of nucleons by examining their generalized form factors, which are related to the moments of parton distribution functions within a chiral quark soliton model. Particular attention is given to how pion mass affects predictions, comparing them with lattice QCD simulations in ...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
3
641.32
833.25
167.12
398.38
4
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
The generalized form factors of the nucleon are defined as the x_th moment of the generalized parton distribution functions within the chiral quark soliton model, where we examine the pion mass dependence of final predictions and compare them with lattice qcd simulations.
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
3
3
3
3
635.67
825.17
160.63
387.5
2.64
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
We study the generalized form factors of nucleons, which are related to the moments of generalized parton distribution functions, using the chiral quark soliton model. We focus on how these predictions change with pion mass and compare them to lattice QCD simulations in the heavy pion region. Our findings show that som...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
4
4
4
3
645.01
836.63
170.08
401.5
3.71
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
To understand the spin content of nucleons, we study their generalized form factors, which are moments of parton distribution functions within the chiral quark soliton model. We focus on how predictions change with different pion masses and compare them to lattice QCD results in a region around @xmath2. Some measuremen...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
4
4
3
644.35
835.71
169.82
401.88
3.68
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
To better understand the spin structure of protons, we studied their generalized form factors using a model called the chiral quark soliton model. These form factors are based on parton distribution functions. We focused on how the pion mass affects results and compared them to lattice QCD simulations in a high pion ma...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
4
5
5
4
646.39
838.8
173.08
406.2
4.53
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
We study nucleon structure, specifically the spin of its components, by examining generalized form factors within a chiral quark soliton model. We focus on how predictions change with the pion mass and compare them to lattice QCD simulations with large pion masses. We find some measurable quantities are very sensitive ...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
4
4
3
645.17
836.75
169.46
402.12
3.96
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
To clarify the spin components of the nucleon, we study the generalized form factors using the chiral quark soliton model. These form factors are the zeroth and first moments of the generalized parton distribution functions. We focus on how these predictions depend on the pion mass and compare them with lattice QCD res...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
645.87
837.85
171.8
403.7
4.44
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
We investigate spin contents in nucleons, looking at generalized form factors of nucleons, which are defined as moments of generalized parton distribution functions, using a chiral quark soliton model. Emphasis on pion mass dependence is given, with comparisons to heavy pion region lattice QCD simulations.
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
4
4
3
641.35
833.7
169
401.25
3.83
with a special intention of clarifying the underlying spin contents of the nucleon , we investigate the generalized form factors of the nucleon , which are defined as the @xmath0-th @xmath1-moments of the generalized parton distribution functions , within the framework of the chiral quark soliton model . a particula...
We study how generalized parton distribution functions affect nucleons, focusing on how changes in pion mass influence predictions. We find that these predictions can be very sensitive to such changes.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
3
3
4
3
646.83
837.82
172
407
3.4
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We enhance the existing thresholds for the simplicity of periodic sine functions with dilation, using a Beurling decomposition of the associated coordinate change in terms of shift operators of infinite multiplicity. We also establish precise bounds for the Riesz constant related to this family, addressing gaps in prev...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
4
3
640.31
832.3
163.14
397.25
3.94
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We improve known thresholds for periodically dilated sine functions. Our findings use a Beurling decomposition involving shift operators. We also find better bounds for the Riesz constant. These results fill gaps in existing literature.
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
4
647.89
840.03
174.36
412.5
4.59
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
2
2
2
641.4
834.21
166.17
401
2.65
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We improved the known limits for how well the family of periodically dilated sine functions can be represented by simpler mathematical bases. Our results use a Beurling decomposition involving shift operators with infinite possibilities to change coordinates. We also found more accurate bounds for a specific constant, ...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
4
4
645.02
837.28
169.65
405.38
4.42
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We improve known limits for the family of periodically stretched sine functions. Our work uses a Beurling decomposition to handle changes in coordinates with shift operators. We also find better bounds for the Riesz constant related to this family. These results fix gaps in existing research.
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
4
4
4
648.6
841.12
174.44
410.75
4.35
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We have improved the known thresholds for the basisness of a family of periodically dilated sine functions. Our work uses a Beurling decomposition of the coordinate change involving infinite shift operators. We also found better bounds for the Riesz constant related to this family. These results fill gaps in previous r...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
5
4
647.31
840.33
170.97
408.5
4.78
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We found better limits for identifying basic functions within a group of sine functions that are repeatedly expanded. This relies on breaking down the relevant coordinate change using operators that shift infinitely. We also found sharper limits for a constant related to this group of functions. These results resolve u...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
646.44
838.58
173.19
409.25
4.55
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We improve the known limits for when a family of sine functions, which are periodically stretched, form a basis. Our work uses a Beurling decomposition that breaks down changes in coordinates using shift operators with infinite multiplicity. We also refine the bounds on the Riesz constant for this family. These results...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
3
646.86
839.36
173.28
408.88
4.69
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We are improving known thresholds for periodic sine basisness functions, using Beurling decomposition to determine shift operators with infinite multiplicity. We're also determining refined bounds on Riesz constants associated to this family, sealing gaps in existing literature.
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
4
4
4
2
640.44
832.18
163.46
401.25
3.36
we improve the currently known thresholds for basisness of the family of periodically dilated @xmath0-sine functions . our findings rely on a beurling decomposition of the corresponding change of coordinates in terms of shift operators of infinite multiplicity . we also determine refined bounds on the riesz consta...
We improved known thresholds for periodic sine functions, using a complex shift-based method and found new bounds on Riesz constants. These findings fill gaps in existing literature.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
4
4
4
3
648.18
838.41
174.67
409.25
3.95
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Memory in synapses is crucial for human learning and thinking. Recently, it has been discovered that biological synapses can strengthen and weaken over time, depending on the frequency of input stimulus. This behavior can be used to create adaptable artificial neuromorphic systems. In this paper, researchers compare th...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
4
5
5
4
644.56
837.29
170.67
404.17
4.4
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Synaptic memory is crucial for learning and thinking in humans. Traditionally, non-volatile long-term changes have been used in nanoelectronic synapses for neuromorphic applications. Recent neuroscience findings show that biological synapses undergo temporary strengthening followed by long-term enhancement when the sti...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
5
4
642.94
833.71
169.5
406.57
4.59
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
the magnetization dynamics of a magnetic tunnel junction are similar to short - term plasticity and long - term potentiation observed in biological synapses
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
4
2
2
4
639.95
832.8
162.65
398.5
2.58
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Synaptic memory is crucial for learning and thinking in humans. Traditionally, changes in nanoelectronic synapses were used to mimic long-term memory changes, but new research shows that biological synapses strengthen temporarily before stabilizing if the input stimulus is frequent enough. This process of strengthening...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
4
644.27
835.15
171.76
405.17
4.66
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Synaptic memory helps humans learn and think. Usually, long-lasting changes are used in nanoelectronic synapses for brain-like applications. Recent findings show that biological synapses strengthen temporarily first, then permanently if the input signal is frequent enough. This could make neuromorphic systems more adap...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
5
4
4
647.34
837.79
174.66
409.36
4.32
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Simplification failed
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
-1
-1
-1
-1
630.92
823.75
185.2
416.5
-0.5
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Synaptic memory is key to learning and thinking. Recent neuroscience shows that biological synapses strengthen temporarily, then potentially long-term if stimulated often. This can inspire new computer architectures. This paper shows that a magnetic tunnel junction (MTJ) behaves like synapses, showing both short-term a...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
4
5
5
4
646.21
836.68
171.54
409.75
4.5
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
Synaptic memory plays a key role in human learning and thinking. Traditionally, long-term plasticity changes in nanoelectronic synapses were thought to be non-volatile for neuromorphic applications. However, recent neuroscience findings show that biological synapses first experience temporary strengthening, followed by...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
3
642.25
833.31
168.06
402.79
4.34
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
The memory in our brain is made up of two elements; one for short term memory and another for long term. There are many neuroscience studies which have shown that when we expose the synapses to a certain frequency, there can be an increase or decrease in memory strength depending on how often we repeat the stimuli. Sim...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
3
3
3
3
645.83
837.92
170.36
402.38
3.01
synaptic memory is considered to be the main element responsible for learning and cognition in humans . although traditionally non - volatile long - term plasticity changes have been implemented in nanoelectronic synapses for neuromorphic applications , recent studies in neuroscience have revealed that biological sy...
In humans, synaptic memory is crucial for learning and thinking. Recent neuroscience shows that synapses strengthen temporarily when there are frequent enough input signals. This can help create smarter and faster artificial neural systems.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
5
3
4
4
647.16
838.06
175.58
411.17
4.08
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper explores a method for recognizing objects in 3D images without extensive searches or optimization. The goal is to position the model near the correct pose (place, orientation, and size) so that the model's boundaries are close to the object's boundaries in the image. This is achieved through: (a) creating a ...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
637.32
828.14
163.39
391.88
4.15
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper explores methods to automatically recognize objects in 3D images without complex searches or optimization. It aims to position a shape model close to the correct pose (position, orientation, scale) in a single attempt, ensuring model boundaries align closely with object boundaries. The approach uses prior sh...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
5
4
637
827.33
163.67
393.75
4.28
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper investigates using prior shape models and the concept of ball scale ( b - scale ) ways of automatically recognizing objects in 3D images without performing elaborate searches or optimization.
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
5
2
2
638.36
830.23
166.12
397
3.32
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper explores using prior shape models and ball scale (b-scale) to automatically recognize objects in 3D images without complex searches or optimization. The goal is to quickly position a model close to the correct pose (position, orientation, and scale) so that its boundaries match the object boundaries in the i...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
635.43
826
161.5
388.25
4.14
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper looks at ways to automatically recognize objects in 3D images using shape models and ball scale (b-scale) without needing complex searches or optimization. The goal is to quickly place a model close to the correct position, orientation, and scale in an image so that the model boundaries match the object boun...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
4
642.36
834.45
169.75
401.14
4.49
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper looks at using prior shape models and ball scale (b-scale) to automatically recognize 3D objects in images without needing complex searches or optimizations. The aim is to place a model in the right pose (position, orientation, scale) in a single attempt so that the model's boundaries closely match the objec...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
5
5
636.03
826.48
163.26
389.75
4.4
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This research explores a method for automatically recognizing objects in 3D images using existing shape models and a 'ball scale' (b-scale) concept, avoiding complex searches. The goal is to quickly place a model near the correct position, orientation, and scale so its boundaries align with the object's boundaries in t...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
5
636.07
826.68
162.09
389.12
4.4
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
This paper explores methods to automatically recognize objects in 3D images without complex searches or optimization. It aims to place a model close to the correct position, orientation, and size in an image so that its edges align with object boundaries. This is done using three main ideas: (1) building a shape model ...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
639.07
830.47
165.78
396.5
4.06
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
The goal is to automatically recognize objects in 3d images without performing elaborate searches or optimization by placing a model in a single shot close to the right pose (position, orientation, and scale) using prior shape models and the concept of ball scale (b - scale). This is achieved via a semi-automatic const...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
5
4
3
631.88
822.56
157.39
382.17
3.88
this paper investigates , using prior shape models and the concept of ball scale ( b - scale ) , ways of automatically recognizing objects in 3d images without performing elaborate searches or optimization . that is , the goal is to place the model in a single shot close to the right pose ( position , orientation , ...
The paper examines ways to automatically identify objects in 3D images without complex searches, using existing shape models and B-scale technology. It aims for precise placement of a model close to the object's position, orientation, and scale within an image.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
5
2
4
4
642.96
836.3
170
403.5
3.58
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Scientists have found new objects in known planetary systems using long-term observations and precise radial velocity measurements. Many of the discovered extrasolar planets have highly eccentric orbits, which raises questions about the likelihood of other planets existing in these systems. The researchers studied six ...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
4
645.04
836.52
170.65
403.25
4.63
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Long-term observations with precise radial velocity measurements have helped discover more planets in known systems. Many extrasolar planets have very eccentric orbits, making it uncertain if additional planets could exist there. We studied six systems with highly eccentric planets: HD 3651, HD 37605, HD 45350, HD 8060...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
4
646.71
838.8
173.55
405.42
4.52
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
highly eccentric orbits are highly likely to be associated with additional planets in these systems
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
2
2
2
2
643.68
837.66
169.33
406
2.15
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Long-term observations with precise measurements have led to finding more objects in known planetary systems. Many detected extrasolar planets have unusual, stretched-out orbits, making us wonder if these systems could have other planets too. We studied six such systems—HD 3651, HD 37605, HD 45350, HD 80606, HD 89744, ...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
647.02
838.32
173.47
404.17
4.62
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Long-term monitoring with high precision has helped find more objects in known planetary systems. Many of these planets have unusual, elongated orbits, making it unclear if they can host additional planets. Six systems with a highly eccentric planet were studied: HD 3651, HD 37605, HD 45350, HD 80606, HD 89744, and 16 ...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
4
4
4
647.93
839.68
173.64
405.2
4.29
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Long-term observations and precise measurements of planetary movements helped find more planets in known solar systems. Many of these planets have very elliptical orbits, making scientists wonder if there could be other planets in those systems. We looked at six systems with planets that have extremely stretched orbits...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
4
4
4
4
647.57
839.15
173.91
404.75
4.02
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
By studying planets with unusual orbits, we looked for other planets in six star systems: HD 3651, HD 37605, HD 45350, HD 80606, HD 89744, and 16 Cyg B. We used updated data and computer simulations to search for stable regions where other planets could exist. Our results suggest short-period planets might be possible ...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
3
4
4
646.26
837.3
171.56
401
3.89
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Long-term observations with high precision in measuring radial velocity have made it possible to find more objects in known planetary systems. Many of the detected exoplanets have very elliptical orbits, which makes us wonder if these systems can have more planets. We studied six systems that each have a planet with a ...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
4
645.33
837.05
170.7
401.58
4.61
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
A long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems. Many of the extrasolar planets detected have highly eccentric orbits, which raises the question of how likely those systems are to host additional planets. We investigate six systems ...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
2
642.12
833.54
166.7
397.1
4.13
long time coverage and high radial velocity precision have allowed for the discovery of additional objects in known planetary systems . many of the extrasolar planets detected have highly eccentric orbits , which raises the question of how likely those systems are to host additional planets . we investigate six sy...
Advanced observations found more planets, especially those with unusual orbits. We studied six systems where an eccentric planet is detected and look for additional planets or determine stability using simulations.
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
4
2
4
4
642.89
835.78
168
405
3.31
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We examine the equilibrium configurations of swarms of biological organisms, looking at both external forces and internal forces that result from interactions between individual organisms. Starting with a discrete dynamical model, we develop a continuum description in terms of population density. Equilibrium solutions ...
mixtral_8x7b_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
4
639.34
831.87
162.82
400.39
4.33
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We study equilibrium configurations of swarming organisms under external and pairwise internal forces using a discrete dynamical model, deriving a variational description for the population density continuum. Equilibrium solutions are energy functional extrema, satisfying Fredholm integral equations. We determine condi...
DeepSeek-R1-Distill-Qwen-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
5
5
4
3
638.43
830.61
162.99
402.21
3.97
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces ,
smollm2_360m_data_pdframe_fixed.pkl_metrics.pkl
5
1
2
2
638.17
831.07
164
404
2.39
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We study how groups of biological organisms, like locust swarms, balance external forces (like wind) and internal interactions to reach a stable state. Starting with a model that tracks individual movements over time, we create a continuous representation of the population's density. The stable states are found by iden...
hf.co__unsloth__phi-4-GGUF_F16_data_pdframe_fixed.pkl_metrics.pkl
5
5
5
3
643.83
835.46
168.59
402.94
4.41
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We study how groups of biological organisms form stable patterns due to outside forces and interactions among themselves. Starting with a model for individual organisms, we create a mathematical description for the overall population's density. Stable solutions are found by minimizing an energy function and solving a s...
hf.co__unsloth__Mistral-Small-24B-Instruct-2501-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
4
646.21
838.4
170.79
407.06
4.5
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We examine stable group arrangements of swarming organisms influenced by external and internal forces using a simple model. We describe these group arrangements with a continuous population density model. Stable solutions are found by analyzing energy functions and solving integral equations. We determine conditions fo...
hf.co__unsloth__QwQ-32B-GGUF_Q2_K_data_pdframe.pkl_metrics.pkl
4
5
4
4
646.31
838.35
170.24
406.83
4.24
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We studied stable arrangements of swarming organisms influenced by external and internal forces. Starting with a step-by-step model, we created a continuous description of the population. These stable arrangements are found by minimizing an energy functional and solving an integral equation. We determined conditions fo...
hf.co__unsloth__gemma-3-27b-it-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
5
4
644.84
837.69
169.06
406.95
4.68
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We study how swarms of biological organisms reach balance when influenced by external forces and internal interactions. Starting with a discrete model, we develop a continuous description of population density using a variational method. The balanced states are solutions to an integral equation and can be local or glob...
hf.co__unsloth__DeepSeek-R1-Distill-Llama-70B-GGUF_Q4_K_M_data_pdframe.pkl_metrics.pkl
5
5
4
3
643.33
835.6
167.24
403.33
4.14
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
A model for swarming biological organisms equilibrium configuration with exogenous forces and pairwise endogenous forces. Equilibrium solutions are the extrema of an energy functional, and are described by Fredholm integral equations. Local minima, global minima, and minimas with respect to infinitesimal displacements ...
Starling-LM-7B-alpha-GGUF_Q2_K_data_pdframe_fixed.pkl_metrics.pkl
5
3
3
3
638.34
831.98
161.64
397.17
3.18
we study equilibrium configurations of swarming biological organisms subject to exogenous and pairwise endogenous forces . beginning with a discrete dynamical model , we derive a variational description of the corresponding continuum population density . equilibrium solutions are extrema of an energy functional , ...
We examine how groups of swarming organisms arrange themselves in balance under external and internal influences. Starting from a basic model, we transform it into an equation for the overall population density. These stable configurations are found to be points where energy is at its lowest. We also discover when thes...
qwen2.5_3b_data_pdframe_fixed.pkl_metrics.pkl
4
5
4
4
645.77
837.6
172.11
405.07
4.23
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This repository contains the unfiltered synthetic data created in the our thesis Training Language Models on Synthetic Data for Scientific Text Simplification. It contains 200000 simplifications that were created based on 20000 arXiv abstracts, one from each of our 10 simplifiers. This dataset also contains the scoring for each simplification based on our methodology in our work.

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