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Knowing the effect of an intervention is critical for human decision-making, but current approaches for causal effect estimation rely on manual data collection and structuring, regardless of the causal assumptions.
Estimating causal effects of tone in online debates
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The estimation of causal effects from observational data
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Towards a human-like open-domain chatbot
Adiwardana, D., Luong, M.-T., So, D. R., Hall, J., Fiedel, N., Thoppilan, R., Yang, Z., Kulshreshtha, A., Nemade, G., Lu, Y., et al. (2020) · 2001
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Recipes for building an open-domain chatbot
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The MineThatData E-Mail Analytics And Data Mining Challenge
Hillstrom, K. (2008) · 2008
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Causal effects of linguistic properties
Pryzant, R., Card, D., Jurafsky, D., Veitch, V., and Sridhar, D. (2020) · 2010
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Natural Experiments in the Social Sciences: A Design-Based Approach
Dunning, T. (2012) · 2012
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The R&D cost of a new medicine
Mestre-Ferrandiz, J., Sussex, J., and Towse, A. (2012) · 2012
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Miao, W., Liu, L., Tchetgen, E. T., and Geng, Z. (2015) · 2015
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Estimating the effect of exercising on users’ online behavior
Falavarjani, S. M., Hosseini, H., Noorian, Z., and Bagheri, E. (2017) · 2017
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Forward study: evaluating the comparative effectiveness of onabotulinumtoxina and topiramate for headache prevention in adults with chronic migraine
Rothrock, J. F., Adams, A. M., Lipton, R. B., Silberstein, S. D., Jo, E., Zhao, X., Blumenfeld, A. M., and Group, F. S. I. (2019) · 2019
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The framework for fda’s real-world evidence program
Schurman, B. (2019) · 2019
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X5 Retail Hero: Uplift Modeling for Promotional Campaign
X5 (2019) · 2019
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The pushshift reddit dataset
Baumgartner, J., Zannettou, S., Keegan, B., Squire, M., and Blackburn, J. (2020) · 2020
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Efficacy and safety of once-weekly semaglutide 1.0 mg vs once-daily liraglutide 1.2 mg as add-on to 1–3 oral antidiabetic drugs in subjects with type 2 diabetes (sustain 10)
Capehorn, M., Catarig, A.-M., Furberg, J., Janez, A., Price, H., Tadayon, S., Vergès, B., and Marre, M. (2020) · 2020
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Text and causal inference: A review of using text to remove confounding from causal estimates
Keith, K., Jensen, D., and O’Connor, B. (2020) · 2020
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Bayesian topic regression for causal inference
Ahrens, M., Ashwin, J., Calliess, J.-P., and Nguyen, V. (2021) · 2021
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Identification and estimation of treatment and interference effects in observational studies on networks
Forastiere, L., Airoldi, E. M., and Mealli, F. (2021) · 2021
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Tirzepatide versus semaglutide once weekly in patients with type 2 diabetes
Frías, J. P., Davies, M. J., Rosenstock, J., Pérez Manghi, F. C., Fernández Landó, L., Bergman, B. K., Liu, B., Cui, X., and Brown, K. (2021) · 2021
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How to make causal inferences using texts
Egami, N., Fong, C. J., Grimmer, J., Roberts, M. E., and Stewart, B. M. (2022) · 2022
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Causal inference in natural language processing: Estimation, prediction, interpretation and beyond
Feder, A., Keith, K. A., Manzoor, E., Pryzant, R., Sridhar, D., Wood-Doughty, Z., Eisenstein, J., Grimmer, J., Reichart, R., Roberts, M. E., et al. (2022) · 2022
Rct rejection sampling for causal estimation evaluation
Keith, K. A., Feldman, S., Jurgens, D., Bragg, J., and Bhattacharya, R. (2023) · 2023
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Causal reasoning and large language models: Opening a new frontier for causality
Kıcıman, E., Ness, R., Sharma, A., and Tan, C. (2023) · 2023
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Big five personality traits: The 5-factor model of personality. simply psychology
Lim, A. (2023) · 2023
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Can large language models build causal graphs?
Long, S., Schuster, T., Piché, A., de Montreal, U., Research, S., et al. (2023) · 2023
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Language models (mostly) know what they know
Kadavath, S., Conerly, T., Askell, A., Henighan, T., Drain, D., Perez, E., Schiefer, N., Hatfield-Dodds, Z., DasSarma, N., Tran-Johnson, E., Johnston, S., El-Showk, S., Jones, A., Elhage, N., Hume, T., Chen, A., Bai, Y., Bowman, S., Fort, S., Ganguli, D., Hernandez, D., Jacobson, J., Kernion, J., Kravec, S., Lovitt, L., Ndousse, K., Olsson, C., Ringer, S., Amodei, D., Brown, T., Clark, J., Joseph, N., Mann, B., McCandlish, S., Olah, C., and Kaplan, J. (2022) · 2022
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Causal inference under approximate neighborhood interference
Leung, M. P. (2022) · 2022
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Erenumab versus topiramate for the prevention of migraine–a randomised, double-blind, active-controlled phase 4 trial
Reuter, U., Ehrlich, M., Gendolla, A., Heinze, A., Klatt, J., Wen, S., Hours-Zesiger, P., Nickisch, J., Sieder, C., Hentschke, C., et al. (2022) · 2022
Cited alongside, same era.
Causal inference from text: A commentary
Sridhar, D. and Blei, D. (2022) · 2022
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Zero-shot causal graph extrapolation from text via llms
Antonucci, A., Piqué, G., and Zaffalon, M. (2023) · 2023
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Large language models for biomedical causal graph construction
Arsenyan, V. and Shahnazaryan, D. (2023) · 2023
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Ban, T., Chen, L., Wang, X., and Chen, H. (2023) · 2023
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Lu, S. and Ding, P. (2023) · 2023
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Personalized decision making–a conceptual introduction
Mueller, S. and Pearl, J. (2023) · 2023
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Applying large language models for causal structure learning in non small cell lung cancer
Naik, N., Khandelwal, A., Joshi, M., Atre, M., Wright, H., Kannan, K., Hill, S., Mamidipudi, G., Srinivasa, G., Bifulco, C., et al. (2023) · 2023
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Randomized trials vs real-world evidence: how can both inform decision-making?
Sheldrick, R. C. (2023) · 2023
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Causal-discovery performance of chatgpt in the context of neuropathic pain diagnosis
Tu, R., Ma, C., and Zhang, C. (2023) · 2023
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Causal inference using llm-guided discovery
Vashishtha, A., Reddy, A. G., Kumar, A., Bachu, S., Balasubramanian, V. N., and Sharma, A. (2023) · 2023
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Efficient guided generation for llms
Willard, B. T. and Louf, R. (2023) · 2023
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Causal parrots: Large language models may talk causality but are not causal
Willig, M., Zecevic, M., Dhami, D. S., and Kersting, K. (2023) · 2023
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Efficiently programming large language models using sglang
Zheng, L., Yin, L., Xie, Z., Huang, J., Sun, C., Yu, C. H., Cao, S., Kozyrakis, C., Stoica, I., Gonzalez, J. E., Barrett, C., and Sheng, Y. (2023) · 2023
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Llama 3 model card
AI@Meta (2024) · 2024
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Efficient causal graph discovery using large language models
Jiralerspong, T., Chen, X., More, Y., Shah, V., and Bengio, Y. (2024) · 2024
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Judea pearl, ai, and causality: What role do statisticians play?
Pearl, J. (2023) · 2024
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