{"id":236,"date":"2022-05-02T19:23:40","date_gmt":"2022-05-02T19:23:40","guid":{"rendered":"https:\/\/www.isi.edu\/research-groups-nlg\/?page_id=236"},"modified":"2022-10-24T20:28:10","modified_gmt":"2022-10-24T20:28:10","slug":"nlg-seminars-old","status":"publish","type":"page","link":"https:\/\/www.isi.edu\/research-groups-nlg\/nlg-seminars-old\/","title":{"rendered":"NLG Seminars"},"content":{"rendered":"\r\n\r\nA weekly meeting of the Natural Language Group. Seminars usually take place on Thursdays from 11:00am until 12:00pm.<\/strong>\r\n\r\nSubscribe<\/a> Add to Calendar<\/a>\r\n

For scheduling a talk scheduling, contact the current organizer Meryem M’hamdi<\/a>, and Jon May<\/a> by emailing to nlg-seminar-host(at)isi.edu.<\/a><\/p>\r\n

Visitor Information<\/h3> \r\n

Virtual visit:<\/strong> Meeting hosts only admit guests that they know to the Zoom meeting. Hence, you’re highly encouraged to use your USC account to sign into Zoom. If you’re an outside visitor, please inform us at (nlg-seminar-host(at)isi.edu.<\/a>) beforehand so we’ll be aware of your attendance and let you in.<\/p>\r\n

In-person visit:<\/strong> Outside visitors should go to the tenth floor lobby where they will be met and escorted to the appropriate location 5 minutes before the talk. For further directions on how to get to ISI, please click here<\/a>.<\/p> \r\n

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Upcoming Talks<\/h2>\r\n<\/section>\r\n\t

Click on the titles to view the abstracts\/time\/location\/online meeting link:<\/p>\r\n\t\r\n \r\n \r\n \r\n \r\n \r\n \r\n
Date<\/th>\r\n Speaker<\/th>\r\n Title<\/th> \r\n <\/tr>\r\n
20 Oct 2022 <\/td>\r\n\t\t\t Sewon Min <\/td>\r\n\t\t\t\r\n\t\t\t\t Understanding and Improving Learning through Inference with Large Language Models \r\n\t\t\t\t
27 Oct 2022 <\/td>\r\n\t\t\t Eric Wallace <\/td>\r\n\t\t\t\r\n\t\t\t\t TBD \r\n\t\t\t\t
3 Nov 2022 <\/td>\r\n\t\t\t Jonas Pfeiffer <\/td>\r\n\t\t\t\r\n\t\t\t\t TBD \r\n\t\t\t\t
12 Jan 2023 <\/td>\r\n\t\t\t Arjun Subramonian <\/td>\r\n\t\t\t\r\n\t\t\t\t Knowledge Grounding in Human-centric AI for effective, explainable, and equitable outcomes \r\n\t\t\t\t