{ "142904-21901582": { "datetime_modified":"20260414T092049", "datetime_start":"20260429T090000", "datetime_end":"20260429T170000", "has_end_time":1, "date_start":"2026-04-29", "date_end":"2026-04-29", "time_start":"09:00:00", "time_end":"17:00:00", "time_zone":"America\/Detroit", "event_title":"Momentary Landscape", "occurrence_title":"", "combined_title":"Momentary Landscape: A public art installation by Diane Lavoie", "event_subtitle":"A public art installation by Diane Lavoie", "event_type":"Exhibition", "event_type_id":"7", "description":"About the exhibition\nDiane Lavoie\u2019s large-scale textile artworks are made entirely from up-cycled materials and are often placed in direct visual conversation with the natural landscape. Through the artist's choice of materials and visual subject matter, the springtime installation *Momentary Landscape* is intended to emphasize important work surrounding sustainability, climate change, and environmental issues through the arts. The project is scheduled to unfold in the lobby of the South Thayer Building during exam week, offering students and visitors a restorative, reflective, and joyful experience through public art installation.\n\nAbout the artist\nDiane Lavoie is a North American visual artist based in Berlin, Germany. Her art represents a dialogue between the natural and artificial world, and explores the boundaries between reality and perception. In her practice, Lavoie creates large-scale, textile representations of natural environments in contrast and connection with the actual environs surrounding them. Lavoie holds an MFA in painting from California State University Long Beach and a BFA in illustration from Massachusetts College of Art. Her work has been exhibited internationally and is held in private and public collections in the US and Europe.", "occurrence_notes":null, "guid":"142904-21901582@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/142904", "building_id":"1005179", "building_name":"202 S. Thayer", "campus_maps_id":"524", "room":"Institute for the Humanities Atrium", "location_name":"202 S. Thayer", "has_livestream":0, "cost":"", "tags":["Art","Environment","Exhibition","Humanities","Visual Arts"], "website":"http:\/\/www.lsa.umich.edu\/humanities", "sponsors":[ { "group_name":"Institute for the Humanities", "group_id":"1130", "website":"http:\/\/www.lsa.umich.edu\/humanities" } ], "image_url":"https:\/\/events.umich.edu\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "styled_images":{ "event_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_thumb\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_large":"https:\/\/events.umich.edu\/media\/cache\/event_large\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_large_2x":"https:\/\/events.umich.edu\/media\/cache\/event_large_2x\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/event_large_lightbox\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "group_thumb":"https:\/\/events.umich.edu\/media\/cache\/group_thumb\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "group_thumb_square":"https:\/\/events.umich.edu\/media\/cache\/group_thumb_square\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "group_large":"https:\/\/events.umich.edu\/media\/cache\/group_large\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "group_large_lightbox":"https:\/\/events.umich.edu\/media\/cache\/group_large_lightbox\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_large_crop":"https:\/\/events.umich.edu\/media\/cache\/event_large_crop\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_list":"https:\/\/events.umich.edu\/media\/cache\/event_list\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_list_2x":"https:\/\/events.umich.edu\/media\/cache\/event_list_2x\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_grid":"https:\/\/events.umich.edu\/media\/cache\/event_grid\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_grid_2x":"https:\/\/events.umich.edu\/media\/cache\/event_grid_2x\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_feature_large":"https:\/\/events.umich.edu\/media\/cache\/event_feature_large\/media\/attachments\/2025\/12\/event_142904_original-1.jpg", "event_feature_thumb":"https:\/\/events.umich.edu\/media\/cache\/event_feature_thumb\/media\/attachments\/2025\/12\/event_142904_original-1.jpg" }, "occurrence_count":9, "first_occurrence":21901575 } , "147383-21900951": { "datetime_modified":"20260403T113109", "datetime_start":"20260429T090000", "datetime_end":"20260429T110000", "has_end_time":1, "date_start":"2026-04-29", "date_end":"2026-04-29", "time_start":"09:00:00", "time_end":"11:00:00", "time_zone":"America\/Detroit", "event_title":"Principled Evaluation of Large Language Models: A Statistical Perspective", "occurrence_title":"", "combined_title":"Principled Evaluation of Large Language Models: A Statistical Perspective: Felipe Maia Polo", "event_subtitle":"Felipe Maia Polo", "event_type":"Lecture \/ Discussion", "event_type_id":"13", "description":"The rapid progress of large language models has outpaced the development of principled methodologies for their evaluation. This dissertation draws on ideas from psychometrics and statistics to build rigorous, efficient, and interpretable evaluation frameworks for modern AI systems. In this talk, I focus on three contributions that address complementary challenges in LLM evaluation.\n\nFirst, I present PromptEval, a method that confronts the problem of prompt sensitivity \u2014 the phenomenon whereby minor rephrasing of benchmark questions can substantially alter measured model performance. By combining Item Response Theory with matrix completion, PromptEval efficiently approximates the full distribution of model performance across hundreds of prompt variations while requiring less than 5% of the total evaluations, replacing arbitrary single-prompt assessments with statistically robust characterizations of model behavior.\n\nSecond, I introduce skill-based scaling laws that model LLM performance through latent capabilities such as reasoning and instruction-following. Inspired by factor analysis, this approach exploits the correlation structure among benchmark tasks to produce scaling predictions that are both more accurate and more interpretable than existing laws, which typically focus on aggregate validation loss and fail to generalize across model families.\n\nThird, I present Bridge, a unified statistical framework that explicitly connects LLM-as-a-Judge evaluations to human assessments. Bridge models the systematic discrepancies between human and LLM judgments through a latent preference score and a linear transformation of divergence-capturing covariates, enabling principled recalibration of automated scores and formal statistical testing for human\u2013LLM gaps.\n\nTogether, these contributions advance a vision of AI evaluation as a scientific discipline in its own right \u2014 one that demands the same statistical care we expect from the systems being evaluated.", "occurrence_notes":null, "guid":"147383-21900951@events.umich.edu", "permalink":"http:\/\/events.umich.edu\/event\/147383", "building_id":"1000167", "building_name":"West Hall", "campus_maps_id":"163", "room":"470", "location_name":"West Hall", "has_livestream":0, "cost":"", "tags":["Dissertation"], "website":"", "sponsors":[ { "group_name":"Department of Statistics Dissertation Defenses", "group_id":"4045", "website":"" } ], "image_url":"", "styled_images":{ "event_thumb":"", "event_large":"", "event_large_2x":"", "event_large_lightbox":"", "group_thumb":"", "group_thumb_square":"", "group_large":"", "group_large_lightbox":"", "event_large_crop":"", "event_list":"", "event_list_2x":"", "event_grid":"", "event_grid_2x":"", "event_feature_large":"", "event_feature_thumb":"" }, "occurrence_count":1, "first_occurrence":21900951 } }