{"688601":{"#nid":"688601","#data":{"type":"event","title":"PhD Defense by Agam Shah ","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp;\u003C\/strong\u003ELanguage Modeling in Finance: Evaluation, Extraction, and Economic Insight\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u0026nbsp;\u003C\/strong\u003EMarch 13, 2026\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E10:00 AM\u003Cstrong\u003E\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation\u003C\/strong\u003E: Coda C1108 Brookhaven\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EZoom Link\u003C\/strong\u003E: \u003Ca href=\u0022https:\/\/gatech.zoom.us\/j\/97022246037\u0022\u003Ehttps:\/\/gatech.zoom.us\/j\/97022246037\u003C\/a\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAgam Shah\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Candidate\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESchool of Computational Science and Engineering\u0026nbsp;\u003Cbr\u003EGeorgia Institute of Technology\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003E1. Sudheer Chava (Advisor), CoB and CSE, Georgia Tech\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E2. Chao Zhang (Co-Advisor), CSE, Georgia Tech\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E3. Aditya Prakash, CSE, Georgia Tech\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E4. Srinivas Aluru, CSE, Georgia Tech\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E5. Indrajit Mitra, Federal Reserve Bank of Atlanta\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u0026nbsp;\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003EOver the past decade, advances in self-attention mechanisms and foundation models have transformed Natural Language Processing (NLP), creating new opportunities and challenges for high-stakes domains such as finance. This work positions finance as both a critical application area and a rigorous diagnostic lens for evaluating the reasoning, bias, and reliability of Large Language Models (LLMs). It uncovers structural limitations of generalist models in financial contexts and introduces calibration and weak-supervision frameworks to address these challenges. At the same time, it develops specialized domain-adapted architectures, datasets, and benchmarks for financial information extraction, institutional discourse analysis, and multimodal economic forecasting. Together, these contributions demonstrate that adapting NLP systems to the financial language enables more reliable AI systems while generating actionable economic insight with impact beyond finance.\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003ELanguage Modeling in Finance: Evaluation, Extraction, and Economic Insight\u0026nbsp;\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Language Modeling in Finance: Evaluation, Extraction, and Economic Insight "}],"uid":"27707","created_gmt":"2026-02-27 17:15:04","changed_gmt":"2026-02-27 17:15:46","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-03-13T10:00:00-04:00","event_time_end":"2026-03-13T12:00:00-04:00","event_time_end_last":"2026-03-13T12:00:00-04:00","gmt_time_start":"2026-03-13 14:00:00","gmt_time_end":"2026-03-13 16:00:00","gmt_time_end_last":"2026-03-13 16:00:00","rrule":null,"timezone":"America\/New_York"},"location":"Coda C1108 Brookhaven ","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"194682","name":"Workshop"},{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}