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EVINCE (Entropy and Variation IN Conditional Exchanges) is a novel framework for optimizing multi-LLM dialogues using conditional statistics and information theory.
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Shannon, C. E · 1948
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Information Theory and Statistics
Kullback, S · 1951
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Axiomatic derivation of the principle of maximum entropy and the principle of minimum cross-entropy
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Critical Thinking: What Every Person Needs to Survive in a Rapidly Changing World
Paul, R. and Binker, A. J. A · 1990
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Adaptive Mixtures of Local Experts
Jacobs, R. A., Jordan, M. I., Nowlan, S. J., and Hinton, G. E · 1991
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Divergence measures based on the shannon entropy
Lin, J · 1991
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A decision-theoretic generalization of on-line learning and an application to boosting
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The earth mover’s distance as a metric for image retrieval
Rubner, Y., Tomasi, C., and Guibas, L. J · 2000
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Diversity creation methods: a survey and categorisation
Brown, G., Wyatt, J. L., Harris, R., and Yao, X · 2005
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Optimal Transport: Old and New , volume 338
Villani, C · 2008
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The Thinker’s Guide to the Art of Asking Essential Questions
Elder, L. and Paul, R · 2010
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Fair and Balanced? Quantifying Media Bias through Crowdsourced Content Analysis
Budak, C., Goel, S., and Rao, J. M · 2016
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RACE: Large-scale ReAding comprehension dataset from examinations
Lai, G., Xie, Q., Liu, H., Yang, Y., and Hovy, E · 2017
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Refuel: exploring sparse features in deep reinforcement learning for fast disease diagnosis
Peng, Y.-S., Tang, K.-F., Lin, H.-T., and more · 2018
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Kaggle Disease Symptoms Description Dataset, 2020
Patil, P · 2020
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Burden of serious harms from diagnostic error in the usa
Newman-Toker, D. E., Nassery, N., and et al · 2021
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An explanation of in-context learning as implicit bayesian inference
Xie, S. M., Raghunathan, A., Liang, P., and Ma, T · 2021
Debate helps supervise unreliable experts, 2023
Michael, J., Mahdi, S., Rein, D., Petty, J., Dirani, J., Padmakumar, V., and Bowman, S. R · 2023
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OpenAI · 2023
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Wikipedia · 2023
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Cooperation, competition, and maliciousness: Llm-stakeholders interactive negotiation, 2024
Abdelnabi, S., Gomaa, A., Sivaprasad, S., Schönherr, L., and Fritz, M · 2024
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Anthropic · 2024
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Serious Harm From Diagnostic Error in US Healthcare Systems: Estimate of Its Magnitude and Cost
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Chan, C.-M., Chen, W., Su, Y., Yu, J., Xue, W., Zhang, S., Fu, J., and Liu, Z · 2023
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Improving language model negotiation with self-play and in-context learning from ai feedback, 2023
Fu, Y., Peng, H., Khot, T., and Lapata, M · 2023
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Encouraging divergent thinking in large language models through multi-agent debate, 2023
Liang, T., He, Z., Jiao, W., Wang, X., Wang, Y., Wang, R., Yang, Y., Tu, Z., and Shi, S · 2023
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