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PID用于LVLMs:A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models Lixin Xiu ⋅ Xufang Luo ⋅ Hideki Nakayama

PID用于LVLMs:A Comprehensive Information-Decomposition Analysis of Large Vision-Language Models Lixin Xiu ⋅ Xufang Luo ⋅ Hideki Nakayama

冗余信息计算方法：V. Griffith, E. K. Chong, R. G. James, C. J. Ellison, and J. P. Crutchfield, Intersection information based on common randomness, Entropy 16, 1985 (2014).

冗余信息计算方法：1.V. Griffith, E. K. Chong, R. G. James, C. J. Ellison, and J. P. Crutchfield, Intersection information based on common randomness, Entropy 16, 1985 (2014).

R. A. Ince, Measuring multivariate redundant information with pointwise common change in surprisal, Entropy 19, 318 (2017).

2.R. A. Ince, Measuring multivariate redundant information with pointwise common change in surprisal, Entropy 19, 318 (2017).

N. Bertschinger, J. Rauh, E. Olbrich, J. Jost, and N. Ay, Quantifying unique information, Entropy 16, 2161 (2014).

3.N. Bertschinger, J. Rauh, E. Olbrich, J. Jost, and N. Ay, Quantifying unique information, Entropy 16, 2161 (2014).

A. Kolchinsky, A novel approach to the partial information decomposition, Entropy 24, 403 (2022)

4.A. Kolchinsky, A novel approach to the partial information decomposition, Entropy 24, 403 (2022)

A. B. Barrett, Exploration of synergistic and redundant information sharing in static and dynamical gaussian systems, Physical Review E 91, 052802 (2015).

5.A. B. Barrett, Exploration of synergistic and redundant information sharing in static and dynamical gaussian systems, Physical Review E 91, 052802 (2015).

C. Finn and J. T. Lizier, Pointwise partial information decomposition using the specificity and ambiguity lattices, Entropy 20, 297 (2018).

6.C. Finn and J. T. Lizier, Pointwise partial information decomposition using the specificity and ambiguity lattices, Entropy 20, 297 (2018).

R. G. James, J. Emenheiser, and J. P. Crutchfield, Unique information via dependency constraints, Journal of Physics A: Mathematical and Theoretical 52, 014002 (2018).

7.R. G. James, J. Emenheiser, and J. P. Crutchfield, Unique information via dependency constraints, Journal of Physics A: Mathematical and Theoretical 52, 014002 (2018).

Lyu, Aobo, Andrew Clark, and Netanel Raviv. "Explicit formula for partial information decomposition." 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024.

8.Lyu, Aobo, Andrew Clark, and Netanel Raviv. "Explicit formula for partial information decomposition." 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024.

信息原子的数值计算程序：https://towardsdatascience.com/what-is-partial-information-decomposition-and-how-features-interact-a713456a1029/链接中提到了作为信息论实验的Dit库

信息原子的数值计算程序：1.https://towardsdatascience.com/what-is-partial-information-decomposition-and-how-features-interact-a713456a1029/

James et al., (2018). dit: a Python package for discrete information theory. Journal of Open Source Software, 3(25), 738, https://doi.org/10.21105/joss.00738

2.Dit库：James et al., (2018). dit: a Python package for discrete information theory. Journal of Open Source Software, 3(25), 738, https://doi.org/10.21105/joss.00738

还有专门实现PID计算的pietromarchesi库：https://github.com/pietromarchesi/pidpy

3.专门实现PID计算的pietromarchesi库：https://github.com/pietromarchesi/pidpy