Excited about how AI/LLMs are revolutionizing our daily research activities? 🚀Join us at IJCAI'24 (IJCAIconf) for our 'AI4Research' workshop, with an incredible lineup of keynote speakers! Don't miss out! #AI4Research #IJCAI24 #callforpapers

It's also my greatest honor to return to my Alma mater to share some recent research! I'm very looking forward to it!

📢 Call for Papers! We invite all submissions related to NLP and look forward to fostering connections among NLP researchers from diverse universities and backgrounds!! #NLP #CFP #SouthNLP2024

#EMNLP2023 : Imagine how you solved math problems you have never seen before 🤔🤔 Inspired by a similar human thinking process, we proposed ✨SOCRATIC QUESTIONING✨, a new divide-and-conquer algorithm to elicit complex reasoning in LLMs beyond Chain-of-Thought or Tree-of-Thought

In an interview w/Vijay Rajpurohit Ph.D. student Barry Menglong Yao discusses his work The Sanghani Center at Virginia Tech that garnered Best Paper Award Honorable Mention SIGIR 2024. The paper proposes an end-to-end fact- checking and explanation generation task. Lifu Huang Virginia Tech Computer Science tinyurl.com/bdfpb699

Ph.D. student zhiyang xu The Sanghani Center at Virginia Tech introduces and shares a new dataset that researchers and practitioners can leverage to advance state of the art vision-language models and develop innovative algorithms in a wide range of domains. Lifu Huang Virginia Tech Computer Science

✨Vision-Flan✨-- Try it out if you are curious about how much we can push it forward for visual instruction tuning and what problems are still remaining

Very excited and honored to receive the *Best Paper Award Honorable Mention* from SIGIR'2023! Congrats to Barry Menglong Yao and all collaborators and welcome to check out the first end-to-end multimodal fact-checking benchmark (dl.acm.org/doi/pdf/10.114…)

Congrats to zhiyang xu Ying Shen Lifu Huang Virginia Tech Computer Science The Sanghani Center at Virginia Tech who received an Outstanding Paper Award ACL 2024 #ACL2023NLP for research introducing 1st multimodal instruction tuning benchmark dataset w/62 diverse tasks, each w/5 instructions: tinyurl.com/3th6wucm

Wow! Excited to share that our MultiInstruct (aclanthology.org/2023.acl-long.…) work was selected for the outstanding paper award of ACL'2023! Many thanks to the best paper committee and Congrats to my awesome students zhiyang xu Ying Shen

My **favorite** work in the line of continual learning for information extraction (from our awesome Minqian Liu ), with many insights and super-encouraging results! Welcome to check it out at #ACL2023 !

My awesome students zhiyang xu Ying Shen created a large and diverse multimodal instruction tuning benchmark to investigate the potential of multimodal LLMs in instruction understanding and following, and further achieving zero-shot generalization. Welcome to check it out!!

so awesome to see these Auto-X, X-chain, etc. in 2016-2017, i thought this would happen but not via programming language to chain them but via chaining their hidden states.

docs.google.com/presentation/d…

Supported by prestigious award U.S. National Science Foundation, Lifu Huang's extraction techniques could help analyze millions of research papers, reports and emerging events around the world and preserve thousands of languages in danger of becoming extinct. Virginia Tech Computer Science The Sanghani Center at Virginia Tech bit.ly/3O0IlYE

🎉Thrilled to announce that our paper has been accepted by #ACL2023 Findings and is now available on arXiv. We will share our code soon. Thanks to all the co-authors!
#ACL2023 NLP #NLProc
👉Preprint:
Multimedia Generative Script Learning for Task Planning arxiv.org/pdf/2208.12306…

Thrilled to share that I just received the NSF CAREER award to support our research on Open Environment Event Knowledge Extraction. I’m very grateful for all the support from my colleagues at Virginia Tech Computer Science , my Ph.D. advisor, collaborators, and all my brilliant and diligent students!

We are thrilled to invite Avirup Sil (Avi Sil ) to give us a talk at The Sanghani Center at Virginia Tech about 'Question Answering: From the basics to the state-of-the-art with PrimeQA' at 9:30-10:30 this Tuesday (Oct. 18)! Everyone is welcome to join. Zoom link: virginiatech.zoom.us/j/5961845863

Congrats Yejin Choi !! Truly well deserved!

My group at Penn State is looking for a postdoc in the NLP area who can start to work as early as possible in 2023. Welcome retweet and recommend your students/friends. Contact: [email protected] 🙏

Wise-Supervision 2022 is calling for papers&abstracts. Any submissions about weak supervision, indirect supervision and self-supervision are welcome. Workshop will be held virtually on Nov. 5. Submission deadline: 10/15/2022. Openreview link: openreview.net/group?id=AKBC.…