Matt Marge
@matt_marge
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Program Manager at @DARPA creating programs in AI. Alum of @SCSatCMU, @EdinburghUni, and @StonyBrookU. Adjunct professor @GUCompLing.
Joined March 2011
The BAA for my first AIE program, FACT (Friction for Accountability in Conversational Transactions), is out! Proposals are due on December 14th. Send in your best ideas on how to mitigate overtrust in conversational AI! AI Forward post on FACT:
linkedin.com
It’s a FACT that humans tend to overtrust AI due to a phenomenon called automation bias. Our Friction for Accountability in Conversational Transactions (FACT) effort will explore human-AI dialogue-...
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Share your best ideas on energy-aware machine learning with the new ML2P (Mapping Machine Learning to Physics) solicitation! Abstracts due Oct. 6.
Mapping Machine Learning to Physics aims to provide warfighters at the tactical edge “energy-aware” machine learning capability that balances performance with energy use. Seeking abstracts for ideas by Oct. 6.
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Check out the great accomplishments from my KMASS program! Proud of the teams and what they achieved.
ICYMI: Don’t just ask an #LLM. Have it push useful info right when you need it. We’ve demo’d tools developed for our #KnowledgeManagement at Scale & Speed (KMASS) program that automatically capture & effectively disseminate workflow knowledge to users: https://t.co/TBZI6vja65
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AI over-reliance is an important issue for conversational agents. Our work supported mainly by the DARPA FACT program proposes introducing positive friction to encourage users to think critically when making decisions. Great team-work all! @matt_marge @convai_uiuc
‼️ Ever wish LLMs would just... slow down for a second? In our latest work, "Better Slow than Sorry: Introducing Positive Friction for Reliable Dialogue Systems", we delve into how strategic delays can enhance dialogue systems. Paper Website: https://t.co/5EIYUsBPSu
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It would be great to study vision-language navigation (VLN): 1⃣ in a dynamic environment; 2⃣ with freeform, sensorimotor-grounded dialogue; 3⃣ to handle unexpected situations. But how? Check out our new #EMNLP2022 Findings paper *DOROTHIE* from the #SLEDLab @Michigan_AI. A🧵
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The research is to be in support of (1) Expeditionary Maneuver and (2) Air/Ground Reconnaissance. Of interest is research about how embodied agents can learn and interact with humans at multiple levels.
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The Army Research Laboratory’s Army Artificial Intelligence Innovation Institute (A2I2) has a new BAA out on Basic and Applied Scientific Research on Artificial Intelligence (AI) and Machine Learning (ML) (section II.A.4.k.):
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Congrats to the new class of ACL fellows, with groundbreaking work in parsing, MT, discourse, grounded NLP, WSD, dialog, multilingual NLP: Joakim Nivre, Qun Liu, Luke Zettlemoyer, Anette Frank, Joyce Chai, Eneko Agirre, Chengqing Zong, Amanda Stent 👏🎉 https://t.co/y4LT4tb1Ge
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Here's the December 2021 release of draft chapters for Speech and Language Processing, just in time for Jim and I to wish you all a Happy New Year! Enjoy!
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SIGdial 2022's site is live: https://t.co/iDdjLGYfKC
#SIGdial2022 will be held in #Edinburgh from the 7th to 9th of September 2022! Tentative dates are: - 12th March, Special Session Proposals - 11th May, Paper Submission - 2nd July, Paper Notification - 17th July, Camera Ready
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We identified question types that the robot could use to learn new concepts with the ARL Human-Robot Dialogue Learning corpus, found here: https://t.co/YzBAigkuZQ Work sponsored by @DoD_BasicRsch as part of the Laboratory University Collaboration Initiative (LUCI) Program.
github.com
Contribute to USArmyResearchLab/ARL-HuRDL development by creating an account on GitHub.
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If you're attending @AcmIcmi, check out our paper Wednesday at 10am ET, "Decision-Theoretic Question Generation for Situated Reference Resolution", presented by Felix Gervits. Great collaboration b/t @ArmyResearchLab, @USNRL, and @hrilab! Paper: https://t.co/bYT6bf2r6h
#icmi2021
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Today, @brianpluss led the group through "Spoken language interaction with robots: Recommendations for future research" by @matt_marge, et al. We pondered how this relates to #argumentation, #conversationalAI and #informationethics. https://t.co/1DYXpvO92N
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Season 2 Episode 2 is out! Ray Mooney (@UTCompSci) on Humans of AI: Stories, Not Stats. Ray talks about how he finds joy in brainstorming ideas with his students, making an impact by doing what one loves, his fascination with the evolution of human intelligence and a lot more
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🎉 Introducing Datasets on arXiv! 🎉 The new "Code & Data" tab shows datasets used and introduced in the paper! Read more: https://t.co/FwacSa3IBy
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