June 2025 - Sanghani-faculty - mailman.cs.vt.edu

Information needed re: Participation at the ACM SIGIR Conference July 13-17
by Micale, Barbara 30 Jun '25

30 Jun '25

If you are participating at the ACM SIGiR Conference on Research and Development in Information Retrieval, July 13 to 19, in Padova, Italy, please respond in the Google Form below with the requested information. https://docs.google.com/forms/d/e/1FAIpQLSfY8ch3mPkOsJlb_Vwuad4Mqs3t9MC1KF2… Thank you! Barbara L. Micale Public Relations Specialist Sanghani Center for Artificial Intelligence and Data Analytics<https://sanghani.cs.vt.edu/> Virginia Tech blmicale(a)vt.edu<mailto:blmicale@vt.edu> X (formerlyTwitter): @SanghaniCtrVT

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Information about Participation at the International Conference on Machine Learning (ICML) July 13 to 19
by Micale, Barbara 30 Jun '25

30 Jun '25

If you are participating at the International Conference on Machine Learning (ICML) July 13 to 19, please respond in the Google Form below with the requested information. https://docs.google.com/forms/d/e/1FAIpQLSe3LrtFcBiqYRQlMxQE_AJjEumAbousf3d… Thank you! blm Barbara L. Micale Public Relations Specialist Sanghani Center for Artificial Intelligence and Data Analytics<https://sanghani.cs.vt.edu/> Virginia Tech blmicale(a)vt.edu<mailto:blmicale@vt.edu> X (formerlyTwitter): @SanghaniCtrVT

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Follow Sanghani Center on LinkedIn
by Micale, Barbara 30 Jun '25

30 Jun '25

Good afternooon, As some of you already know, Sanghani Center joined LinkedIn this past February: https://www.linkedin.com/company/sanghani-center-for-ai-da/?viewAsMember=tr… Please consider following us if you haven't already! We are posting regularly and encourage you to tag Sanghani Center in your LinkedIn posts so that we can repost them and/or send us information about conferences/awards etc that we can promote in our posts and tag you. Best, blm Barbara L. Micale Public Relations Specialist Sanghani Center for Artificial Intelligence and Data Analytics<https://sanghani.cs.vt.edu/> Virginia Tech blmicale(a)vt.edu<mailto:blmicale@vt.edu> X (formerlyTwitter): @SanghaniCtrVT

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New journal: ACM Transactions on AI Security and Privacy.
by Kantarcioglu, Murat 25 Jun '25

25 Jun '25

Dear All, I would like to bring your attention to a new journal, ACM Transactions on AI Security and Privacy (TAISAP), for which I will be serving as one of the founding Editors-in-Chief. The journal focuses on developing methods for evaluating and improving the security of AI models, AI-enabled systems, and broader AI environments. Topics include adversarial attacks, technical vulnerabilities in AI, privacy concerns in AI training and deployment, and the use of AI and machine learning in cybersecurity applications such as security operations centers and cyber threat intelligence. The journal is expected to launch in the next few weeks. Once submissions open, please consider submitting extended versions of your conference papers that align with the journal’s scope. For more details, please see the official ACM announcement at the following link: https://www.acm.org/media-center/2025/june/taisap-launch Best Regards, Murat ==================================== Murat Kantarcioglu, Ph.D. Professor, and CCI Faculty Fellow Virginia Tech, Department of Computer Science www.kantarcioglu.net ====================================

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Seminar Announcement [Fri, June 27]: Tengyu Ma (Stanford) on RL for Theorem Proving
by Jin, Ming 25 Jun '25

25 Jun '25

Dear colleagues, On Friday (27th of June 2025), we are hosting a talk in the scope of the AI Agent Frontier Online Seminar. The details for the talk are given below. We invite you to join via zoom if you are interested and feel free to share this invitation with colleagues or students that might find the talk relevant. Talk Title: STP: Self-play LLM Theorem Provers with Iterative Conjecturing and Proving Speaker: Prof. Tengyu Ma (Stanford) Host: Prof. Ming Jin (Virginia Tech) Talk Time: 27 June 2025, 18:00h CEST Time (Amsterdam, Berlin, Rome, Stockholm, Vienna) / 09:00h California time / 12:00h Eastern Time / +1 00:00h Beijing time. Join Zoom Meeting: https://virginiatech.zoom.us/j/88966280094 Meeting ID: 889 6628 0094 Passcode: 487062 Abstract: I will discuss recent works on using RL for theorem proving, especially in the possible future regime where we ran out of high-quality training data. To keep improving the models with limited data, we draw inspiration from mathematicians, who continuously develop new results, partly by proposing novel conjectures or exercises (which are often variants of known results) and attempting to solve them. We design the Self-play Theorem Prover (STP) that simultaneously takes on two roles, conjecturer and prover, each providing training signals to the other. The model achieves state-of-the-art performance among whole-proof generation methods on miniF2F-test (65.0%, pass@3200), Proofnet-test (23.9%, pass@3200) and PutnamBench (8/644, pass@3200). Bio: Prof. Tengyu Ma is an assistant professor of computer science and statistics at Stanford. His research interests broadly include topics in machine learning, algorithms and their theory, such as deep learning, (deep) reinforcement learning, pre-training / foundation models, robustness, non-convex optimization, distributed optimization, and high-dimensional statistics. AI Agent Frontier Online Seminar Homepage: https://sites.google.com/view/ai-agent-seminar/home We welcome researchers and students who are interested in AI agents to join us! To receive relevant seminar information in time, please click the link<https://docs.google.com/forms/d/e/1FAIpQLSdZscp3PMn6qeWcEIZJCAwGzuODvFzKVXE…> to register. Best regards, The AI Agent Frontier Online Seminar organizers -- Ming Jin Assistant Professor Bradley Department of Electrical and Computer Engineering Virginia Tech http://www.jinming.tech<http://www.jinming.tech/>

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Requesting Information about Participation at Participation at the International AAAI Conference on Web and Social Media (ICWSM) June 23 - 26
by Micale, Barbara 18 Jun '25

18 Jun '25

If you are participating at the International AAAI Conference on Web and Social Media (ICWSM) June 23 - 26, please respond to the requested information in the Google Form below. Thank you. https://docs.google.com/forms/d/e/1FAIpQLSfY8ch3mPkOsJlb_Vwuad4Mqs3t9MC1KF2… Barbara L. Micale Public Relations Specialist Sanghani Center for Artificial Intelligence and Data Analytics<https://sanghani.cs.vt.edu/> Virginia Tech blmicale(a)vt.edu<mailto:blmicale@vt.edu> X (formerlyTwitter): @SanghaniCtrVT

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FW: June 2025 Newsletter - LDC
by Brian Mayer 16 Jun '25

16 Jun '25

From: Ldc-customers1 <ldc-customers1-bounces(a)ldc.upenn.edu> On Behalf Of Penn LDC Sent: Monday, June 16, 2025 10:44 AM To: Penn LDC <ldc(a)ldc.upenn.edu> Subject: June 2025 Newsletter - LDC In this newsletter: LDC data and commercial technology development New publications: Chinese Sentence Pattern Structure Treebank <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025T06&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969179 424%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=at2Nv2nro9uc OeoH0TcM8aYAJuk6vIjAAz0UtCXdCvY%3D&reserved=0> IWSLT 2022-2023 Shared Task Training, Development and Test Set <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025S05&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969210 864%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=hQRBX9ZxTn9O u%2BkBaL70SOJEabOrE7fW%2FunH%2Bux6q2Y%3D&reserved=0> KAIROS Schema Learning Complex Event Annotation <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025T07&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969238 264%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=V5WPWg6P5mq7 bDq%2BVEeuCkkpySsxhTca0g9F2LmxUjw%3D&reserved=0> _____ LDC data and commercial technology development For-profit organizations are reminded that an LDC membership is a pre-requisite for obtaining a commercial license to almost all LDC databases. Non-member organizations, including non-member for-profit organizations, cannot use LDC data to develop or test products for commercialization, nor can they use LDC data in any commercial product or for any commercial purpose. LDC data users should consult corpus-specific license agreements for limitations on the use of certain corpora. Visit the Licensing <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fwww.ldc.u penn.edu%2Fdata-management%2Fusing%2Flicensing&data=05%7C02%7Cmayer2%40vt.ed u%7Cd2c8a7eb02714d12640708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0% 7C0%7C638856819969263140%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlY iOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C% 7C&sdata=hYi2er0z%2BGxkrCwsOJsrqTpqXm563vu%2FMG0dR3rAezY%3D&reserved=0> page for further information. _____ New publications: <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025T06&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969288 543%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=lQ%2Fpk%2Fu4 2xZnC9svPAD2MfoN%2BYdXLkI%2FlKSSXcV9%2Bkg%3D&reserved=0> Chinese Sentence Pattern Structure Treebank was developed at <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenglish.b nu.edu.cn%2F&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d12640708ddace495 a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969313588%7CUnknown %7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsI kFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=zsfNqSYYPEtfN0tXCtWjgihcN kVaXQ1KJ5f0BjSLiUQ%3D&reserved=0> Beijing Normal University and <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fenglish.p ku.edu.cn%2F&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d12640708ddace495 a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969337817%7CUnknown %7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsI kFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=%2F%2BXho78x0nKgJl7y4xUFN XvYzyW32vVq5whuzOPTZBU%3D&reserved=0> Peking University. It contains 5,016 sentences and 119,627 tokens syntactically annotated following the concept of sentence constituent analysis which emphasizes sentence pattern structure. The source data consists of 27 chapters extracted from modern Mandarin and ancient Chinese works. There are three annotation layers: lexical sense and structural mode for dynamic words; syntactic structure for clauses; and inter-clause relation within complex sentence and sentence clusters. These structures can be visualized using the <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fgithub.co m%2Fbnucip%2Fjbwviewer&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126407 08ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969362511 %7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJ XaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=ziMHOmoQeE4gLi7 4CD3UXHQ9nVoFpjC4E%2FVPJd6ALHY%3D&reserved=0> Jbw-viewer tool which is included in the release. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for $250. * <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025S05&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969385 941%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=bNPVCKMGLG0w rbIg7pqnb9XSCKBTP%2F82PO3p%2FeLJWlY%3D&reserved=0> IWSLT 2022 - 2023 Shared Task Training, Development and Test Set was developed by LDC and contains 210 hours of <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025S05&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969403 668%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=Kh4IKLIDlBci cj%2F2Z3elwhXaXjLk520QzuT%2Bu7%2FaJwQ%3D&reserved=0> Tunisian Arabic conversational telephone speech, transcripts, English translations, speaker metadata, and documentation. This material constitutes the training, development, and test data used in the International Conference on Spoken Language Translation (IWSLT) <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fiwslt.org %2F2022%2Fdialect&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d12640708dda ce495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969421031%7CUn known%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4z MiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=NGgmHmCSVhHOLkOjp5sv ewqsRuPE%2Bmc9YSryo2r0cqY%3D&reserved=0> Dialectal Speech Translation task (2022) and the <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fiwslt.org %2F2023%2Flow-resource&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126407 08ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969446531 %7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJ XaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=iM6XkpFNNq5Llm% 2FVGgSw819R9HpSYEnWiOKUwAATbW0%3D&reserved=0> Dialectal and Low-resource track (2023). The telephone speech was collected by LDC in 2016-2017 from native speakers of Tunisian Arabic in Tunis. Speakers were recruited to make telephone calls to people in their social networks from a variety of noise conditions and handsets. Transcripts are orthographic following <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2004L02&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969471 517%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=BfhX2IAfJHN1 lDfgQhSNyYO1iUEXJyWuMn55iWDVSTY%3D&reserved=0> Buckwalter transliteration and cover 175 hours of the collected speech. IPA transcripts were added to a subset of the data. All transcribed segments were translated into English. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for $2500. * <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2FLDC2025T07&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d126 40708ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969495 369%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAi OiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=wFk0ueFUwi03 QXpu622mxbopbrmdpALslvBy44GJSTw%3D&reserved=0> KAIROS Schema Learning Complex Event Annotation was developed by LDC to support the DARPA KAIROS program. It contains English and Spanish text, audio, video, and image data labeled for 93 real-world complex events with event, relation, and argument annotations linking to document provenance. Source data was collected from the web; 3431 root web pages were collected and processed, yielding 1919 text data files, 24019 image files, 1472 video files, and 16 audio files. The DARPA KAIROS (Knowledge-directed Artificial Intelligence Reasoning Over Schemas) program aimed to build technology capable of understanding and reasoning about complex real-world events in order to provide actionable insights to end users. KAIROS systems utilized formal event representations in the form of schema libraries that specified the steps, preconditions, and constraints for an open set of complex events; schemas were then used in combination with event extraction to characterize and make predictions about real-world events in a large, multilingual, multimedia corpus. 2025 members can access this corpus through their LDC accounts. Non-members may license this data for $3000. To unsubscribe from this newsletter, log in to your <https://nam04.safelinks.protection.outlook.com/?url=https%3A%2F%2Fcatalog.l dc.upenn.edu%2Flogin&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d12640708 ddace495a8%7C6095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969518987%7 CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXa W4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=DzS5uxyfZ4TvSGg3x lcRZj7rkNz4T2ye54KW1h81LDU%3D&reserved=0> LDC account and uncheck the box next to "Receive Newsletter" under Account Options or contact LDC for assistance. Membership Coordinator <https://nam04.safelinks.protection.outlook.com/?url=http%3A%2F%2Fldc.upenn. edu%2F&data=05%7C02%7Cmayer2%40vt.edu%7Cd2c8a7eb02714d12640708ddace495a8%7C6 095688410ad40fa863d4f32c1e3a37a%7C0%7C0%7C638856819969544260%7CUnknown%7CTWF pbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjo iTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&sdata=fm9oljitS0kjquVWBrDcNZNty4lmqZA sI3Ylr51ygfM%3D&reserved=0> Linguistic Data Consortium University of Pennsylvania T: +1-215-573-1275 E: <mailto:ldc@ldc.upenn.edu> ldc(a)ldc.upenn.edu M: 3600 Market St. Suite 810 Philadelphia, PA 19104

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Requesting Information About Participation at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 11-15, 2025
by Micale, Barbara 06 Jun '25

06 Jun '25

If you are participating at the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) June 11-15, 2025, please provide the information requested through the Google Form link below. Thank you! https://docs.google.com/forms/d/e/1FAIpQLSc_UtqTxY6lY-wtLXMY9_hlqxqu5L9I0Tx… Barbara L. Micale Public Relations Specialist Sanghani Center for Artificial Intelligence and Data Analytics<https://sanghani.cs.vt.edu/> Virginia Tech blmicale(a)vt.edu<mailto:blmicale@vt.edu> X (formerlyTwitter): @SanghaniCtrVT

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IEEE VL/HCC 2025 Workshop on "Beyond Chat: Visual Languages for Embodied Human-LLM Interaction in Sensemaking"
by Chris North 03 Jun '25

03 Jun '25

https://human-ai-sensemaking.github.io/ Beyond Chat: Visual Languages for Embodied Human-LLM Interaction in Sensemaking An IEEE VL/HCC 2025 workshop 2025 Workshop Summary Date and Location: TBD, co-located with IEEE VL/HCC (October 6-10, 2025), Raleigh, North Carolina, United States User interfaces for Human-LLM interaction in information-intensive tasks such as sensemaking have predominantly been limited to the chatbot style of interaction. The linear nature of chat poses significant limitations on sensemaking activity that often requires nonlinear thinking, incremental formalization, use of diverse information sources, etc. Human cognition in sensemaking tasks exploits a psychological phenomenon called embodied cognition, which externalizes thought processes onto interactive visual workspaces and canvases that enable complex iterative structuring of ideas. These nonlinear structures often represent various forms of visual languages for sensemaking —- space to think. While LLMs also exploit the notion of external memory in the form of prompt context or chain of thought, these are often limited to sequential text inputs. Is there a possibility of marrying the analogous concepts of human embodied cognition and LLM context? Can the visual languages of embodied cognition serve as a common ground between human cognition and LLM processing? Can LLMs have a form of embodied AI cognition that exploits visual languages? As AI agents become increasingly autonomous, how can visual languages support incremental progression and reduce uncertainty in various sensemaking scenarios, from simple coordination to active collaboration to full teaming, while enabling trust between humans and AI? This workshop seeks contributions that push these frontiers and bring together a multi-disciplinary group of researchers in HCI, AI, cognitive science, visual languages, and computer vision. The workshop will foster a community that will discuss and prepare a forward-looking research agenda for embodied human-LLM interaction with visual languages. Topics of Interest Topics of interest include but are not limited to: Design or evaluation of visual languages for AI User interface or visualization design for human-AI interaction Theories for human-AI common ground in sensemaking Methods for human steering or explainability of AI sensemaking NLP methods for augmenting LLMs with embodied cognition capabilities Models for LLM processing of visual languages Evaluations of human-AI teaming for sensemaking Call For Participation Two types of contributions are sought, each with separate deadlines and review criteria. Research Papers: Manuscripts that contain results suitable for publication, which will be presented at the workshop. Research paper submissions will be peer-reviewed by a minimum of one organizer and one knowledgeable external reviewer recruited by the organizers to ensure relevance, quality, and soundness of results. A length of 4-8 pages is required. The VL/HCC Conference plans to publish accepted workshop manuscripts in an accompanying volume published by IEEE. Submission deadline: Friday, July 11 Acceptance notification: Friday, August 1 Camera-ready deadline following minor revisions: Friday, August 8 Submissions should be uploaded to EasyChair: TBA Position Statements: Statements relating to a topic of interest that can be discussed at the workshop. Position statements will be reviewed by the organizers to ensure relevance to the workshop. A length of 1-4 pages is required. Submission deadline: Friday, August 22 Acceptance notification: Friday, August 29 Submission method: TBA ORGANIZERS Contact: human-ai-sensemaking(a)googlegroups.com Chris North, Virginia Tech Joel Chan, University of Maryland Rebecca Faust, Tulane University Xuxin Tang, Virginia Tech Xuan Wang, Virginia Tech John Wenskovitch, Pacific Northwest National Laboratory Siyi Zhu, University of Maryland

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Updated invitation: Monthly Sanghani Center Faculty Meetings @ Monthly from 12pm to 1:30pm on the first Friday from Fri Feb 7 to Thu Jun 5 (EST) (sanghani-faculty@cs.vt.edu)
by Wanawsha Shalaby 03 Jun '25

03 Jun '25

This event has been updated Changed: time Monthly Sanghani Center Faculty Meetings Monthly from 12pm to 1:30pm on the first Friday from Friday Feb 7 to Thursday Jun 5 Eastern Time - New York Location D&DS 337, IC 5740 https://www.google.com/maps/search/D%26DS+337,+IC+5740?hl=en Join Zoom Meetinghttps://virginiatech.zoom.us/j/89087118458Meeting ID: 890 8711 8458---One tap mobile+16469313860,,89087118458# US+19294362866,,89087118458# US (New York)---Dial by your location• +1 646 931 3860 US• +1 929 436 2866 US (New York)• +1 301 715 8592 US (Washington DC)• +1 305 224 1968 US• +1 309 205 3325 US• +1 312 626 6799 US (Chicago)• +1 360 209 5623 US• +1 386 347 5053 US• +1 507 473 4847 US• +1 564 217 2000 US• +1 669 444 9171 US• +1 669 900 6833 US (San Jose)• +1 689 278 1000 US• +1 719 359 4580 US• +1 253 205 0468 US• +1 253 215 8782 US (Tacoma)• +1 346 248 7799 US (Houston)Meeting ID: 890 8711 8458-- Organizer Wanawsha Shalaby wanah92(a)vt.edu Guests Wanawsha Shalaby - organizer Barbara Micale Joyce Newberry sanghani-faculty(a)cs.vt.edu View all guest info https://calendar.google.com/calendar/event?action=VIEW&eid=Nmc0M2xmaXUyNDRq… Reply for sanghani-faculty(a)cs.vt.edu and view more details https://calendar.google.com/calendar/event?action=VIEW&eid=Nmc0M2xmaXUyNDRq… Your attendance is optional. ~~//~~ Invitation from Google Calendar: https://calendar.google.com/calendar/ You are receiving this email because you are an attendee on the event. Forwarding this invitation could allow any recipient to send a response to the organizer, be added to the guest list, invite others regardless of their own invitation status, or modify your RSVP. Learn more https://support.google.com/calendar/answer/37135#forwarding

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