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The overwhelming success of GPT-4 in early 2023 highlighted the transformative potential of large language models (LLMs) across various sectors, including national security.
Are we winning? a brief history of military operations assessment
Emily Mushen and Jonathan Schroden · 2014
Earlier work this paper cites.
The pentagon’s ’terminator conundrum’: Robots that could kill on their own
John Markoff and Matthew Rosenberg · 2016
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How to build a virtual clausewitz
Aaron Bazin · 2017
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A unified approach to interpreting model predictions
Scott M Lundberg and Su-In Lee · 2017
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Summary of the 2018 national defense strategy of the united states of america
Jim Mattis · 2018
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Joint doctrine note 1-18
US Joint Chiefs of Staff · 2018
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This looks like that: deep learning for interpretable image recognition
Chaofan Chen, Oscar Li, Daniel Tao, Alina Barnett, Cynthia Rudin, and Jonathan K Su · 2019
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Detecting fake news for reducing misinformation risks using analytics approaches
Chaowei Zhang, Ashish Gupta, Christian Kauten, Amit V Deokar, and Xiao Qin · 2019
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Joint Publication 5-0: Joint Planning
US Joint Chiefs of Staff · 2020
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Russian trolls outsource disinformation campaigns to africa
Emma Woollacott · 2020
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Spinning language models: Risks of propaganda-as-a-service and countermeasures
Eugene Bagdasaryan and Vitaly Shmatikov · 2022
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Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang · 2022
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We’ll never have a model of an ai major-general: Artificial intelligence, command decisions, and kitsch visions of war
C. Hunter and B. E. Bowen · 2022
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Joint publication 3-0: Joint operations
US Joint Chiefs of Staff · 2022
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Emergent abilities of large language models
Jason Wei, Yi Tay, Rishi Bommasani, Colin Raffel, Barret Zoph, Sebastian Borgeaud, Dani Yogatama, Maarten Bosma, Denny Zhou, Donald Metzler, et al · 2022
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Executive order 14110: Safe, secure, and trustworthy development and use of artificial intelligence, October 2023
Joe Biden · 2023
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Sparks of artificial general intelligence: Early experiments with gpt-4
Sébastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al · 2023
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Booookscore: A systematic exploration of book-length summarization in the era of llms
Yapei Chang, Kyle Lo, Tanya Goyal, and Mohit Iyyer · 2023
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Can llm-generated misinformation be detected?
Canyu Chen and Kai Shu · 2023
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Vinicius G Goecks and Nicholas R Waytowich · 2023
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Josh A Goldstein, Girish Sastry, Micah Musser, Renee DiResta, Matthew Gentzel, and Katerina Sedova · 2023
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Nato on the hunt for new ai cognitive agent
John Harper · 2023
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Automated Information Warfare: For and Against Saturation Attacks
Jwen Fai Low · 2023
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Are emergent abilities in large language models just in-context learning?
Sheng Lu, Irina Bigoulaeva, Rachneet Sachdeva, Harish Tayyar Madabushi, and Iryna Gurevych · 2023
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Recent advances in natural language processing via large pre-trained language models: A survey
Bonan Min, Hayley Ross, Elior Sulem, Amir Pouran Ben Veyseh, Thien Huu Nguyen, Oscar Sainz, Eneko Agirre, Ilana Heintz, and Dan Roth · 2023
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TIDE Hackathon: Spotlight on the Wargaming LLM Challenge
NATO Allied Command Transformation · 2023
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Adversarial machine learning: A taxonomy and terminology of attacks and mitigations
Alina Oprea and Apostol Vassilev · 2023
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Gpt-4 is exciting and scary
Kevin Roose · 2023
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Stochastic llms do not understand language: Towards symbolic, explainable and ontologically based llms
Walid S Saba · 2023
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The Return of Great Powers: Russia, China, and the End of American Exceptionalism
Jim Sciutto · 2023
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Air force and defense department using ai and llm with humans
Sindhu Sundar · 2023
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Nato leverages mitre’s ai expertise
Catherine Trifiletti · 2023
Cited alongside, same era.
Does human collaboration enhance the accuracy of identifying llm-generated deepfake texts?
Adaku Uchendu, Jooyoung Lee, Hua Shen, Thai Le, Dongwon Lee, et al · 2023
Cited alongside, same era.
Dod data analytics and ai adoption strategy
U.S. Department of Defense · 2023
Cited alongside, same era.
Inside task force lima’s exploration of 180-plus generative ai use cases for dod
Brandi Vincent · 2023
Cited alongside, same era.
Combating misinformation in the era of generative ai models
Danni Xu, Shaojing Fan, and Mohan Kankanhalli · 2023
Cited alongside, same era.
Characterizing political bias in automatic summaries: A case study of trump and biden
Karen Zhou and Chenhao Tan · 2023
Large language models: A survey
Shervin Minaee, Tomas Mikolov, Narjes Nikzad, Meysam Chenaghlu, Richard Socher, Xavier Amatriain, and Jianfeng Gao · 2024
Closest in time.
Ai-powered russian network spreads fake news
Phil Muncaster · 2024
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Mahjabin Nahar, Haeseung Seo, Eun-Ju Lee, Aiping Xiong, and Dongwon Lee · 2024
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Nato 2022 strategic concept
NATO · 2024
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Air force unveils new generative ai platform
Anastasia Obis · 2024
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U.s. navy not ready to set sail on ai just yet
Brian O’Connell · 2024
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Cited alongside, same era.
U.s. intelligence agencies’ embrace of generative ai is at once wary and urgent, 2024
Frank Bajak · 2024
Cited alongside, same era.
The us and australia need generative ai to give their forces a vital edge
Ylli Bajraktari · 2024
Cited alongside, same era.
Large language models in wargaming: Methodology application and robustness
Yuwei Chen and Shiyong Chu · 2024
Cited alongside, same era.
Us air force hackathon: How large language models will revolutionize usaf flight test
Jordan Conner, Luis Moros, Riley Livermore, Danny Riley, Troy Soileau, Ben Faircloth, Tim Lortz, and Li Yu · 2024
Cited alongside, same era.
Google makes adjustments to ai overviews after a rocky rollout
Michael Dobuski · 2024
Cited alongside, same era.
Human-like few-shot learning via bayesian reasoning over natural language
Kevin Ellis · 2024
Cited alongside, same era.
Closest in time.
Is llm-as-a-judge robust? investigating universal adversarial attacks on zero-shot llm assessment
Vyas Raina, Adian Liusie, and Mark Gales · 2024
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Guidance on the use of generative ai and large language models
Jane O. Rathbun · 2024
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North korean hackers take phishing efforts to next level with ai tools
Shreyas Reddy · 2024
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Escalation risks from language models in military and diplomatic decision-making
Juan-Pablo Rivera, Gabriel Mukobi, Anka Reuel, Max Lamparth, Chandler Smith, and Jacquelyn Schneider · 2024
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Bravo 11 hackathon trip report
Justin Ross · 2024
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Are emergent abilities of large language models a mirage?
Rylan Schaeffer, Brando Miranda, and Sanmi Koyejo · 2024
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Applying large language models to dod software acquisition: An initial experiment
Douglas Schmidt and John Robert · 2024
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Us army experimenting with generative ai chatbots in war games: Report, 2024
Science Desk · 2024
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Ai-powered autonomous weapons risk geopolitical instability and threaten ai research
Riley Simmons-Edler, Ryan Badman, Shayne Longpre, and Kanaka Rajan · 2024
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Cia adopts microsoft’s generative ai model for sensitive data analysis, 2024
Peter Suciu · 2024
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Baidu’s ernie bot better at accuracy than chatgpt but lingers in politics
Azmi Tamin · 2024
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Task force lima and gpt
TF Lima · 2024
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DoD Responsible AI (RAI) Strategy and Implementation Pathway, 2022
US Department of Defense · 2024
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Political declaration on responsible military use of artificial intelligence and autonomy
U.S. Department of State · 2024
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Darpa aims to develop ai autonomy applications warfighters can trust, 2024
David Vergun · 2024
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Air and space forces lean into data-informed decision making
Brandi Vincent · 2024
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How marine corps university is experimenting with generative ai in simulations and wargaming, 2023c
Brandi Vincent · 2024
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Task force lima preps new space for generative ai experimentation
Brandi Vincent · 2024
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Cdao developing ‘classification guide’ for large language models
Brandi Vincent · 2024
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Dell: Generating reactions and explanations for llm-based misinformation detection
Herun Wan, Shangbin Feng, Zhaoxuan Tan, Heng Wang, Yulia Tsvetkov, and Minnan Luo · 2024
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A survey on game playing agents and large models: Methods, applications, and challenges
Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, and Börje F Karlsson · 2024
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From task structures to world models: what do llms know?
Ilker Yildirim and LA Paul · 2024
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How People Are Really Using GenAI
Marc Zao-Sanders · 2024
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Benchmarking large language models for news summarization
Tianyi Zhang, Faisal Ladhak, Esin Durmus, Percy Liang, Kathleen McKeown, and Tatsunori B Hashimoto · 2024
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