{"694154":{"#nid":"694154","#data":{"type":"event","title":"PhD Defense by Siheng Xiong","body":[{"value":"\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003EDate:\u003C\/strong\u003E November 24th, 2026\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ETime:\u0026nbsp;\u003C\/strong\u003E11:00 AM \u2013 1:00 PM ET\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ELocation:\u0026nbsp;\u003C\/strong\u003E\u003Ca href=\u0022https:\/\/nam12.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fgatech.zoom.us%2Fj%2F91393490565%3Fpwd%3D0oGKehzpoB301cxXMaYVP1sdN1Tsh1.1\u0026amp;data=05%7C02%7Cannouncements%40grad.gatech.edu%7Cd2b85b8a8b9e4b1f51b108df41b80d80%7C482198bbae7b4b258b7a6d7f32faa083%7C1%7C0%7C639301930934965795%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C\u0026amp;sdata=iPtE2b9Dijnn0YW6UFBGc8XbxR53n1UbEqQEr5L6Ae8%3D\u0026amp;reserved=0\u0022 title=\u0022https:\/\/gatech.zoom.us\/j\/91393490565?pwd=0oGKehzpoB301cxXMaYVP1sdN1Tsh1.1\u0022\u003EZoom Meeting\u003C\/a\u003E\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003ESiheng Xiong\u003C\/p\u003E\u003Cp\u003EMachine Learning PhD Student\u003C\/p\u003E\u003Cp\u003ESchool of Electrical and Computer Engineering\u003C\/p\u003E\u003Cp\u003EGeorgia Institute of Technology\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\u003Col\u003E\u003Cli data-list-item-id=\u0022e94243dda3905f5b7f46a24187250eb5c\u0022\u003EDr. Faramarz Fekri (Advisor), Georgia Institute of Technology\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e9f952eb815dc297a495b2f8e1d9a8577\u0022\u003EDr. Ghassan AlRegib, Georgia Institute of Technology\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e475ee13951e291c5cd26127f49a781a9\u0022\u003EDr. Kartik Goyal, Georgia Institute of Technology\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e0cd95652722d7cc3a0fe64877eab1357\u0022\u003EDr. Suguman Bansal, Georgia Institute of Technology\u003C\/li\u003E\u003Cli data-list-item-id=\u0022e581f0e9782d03c8814d4a04979fa8b0a\u0022\u003EDr. Karthikeyan Sundaresan, Georgia Institute of Technology\u003C\/li\u003E\u003C\/ol\u003E\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\u003Cp\u003ELarge language models (LLMs) have demonstrated strong capabilities in complex problem-solving but still face challenges in reliable multi-step reasoning, planning, and self-improvement. While chain-of-thought (CoT) prompting enables intermediate reasoning, it often lacks explicit structures to guide and verify the reasoning process. We introduce structure-driven agentic reasoning, a paradigm that integrates structured representations with adaptive reasoning and learning to improve LLM capabilities. Specifically, we explore graph-based reasoning for temporal understanding and logical verification, hierarchical planning and execution, adaptive information acquisition through reinforcement learning, and experience-driven skill evolution. Extensive experiments across temporal, mathematical, logical, and knowledge-intensive tasks demonstrate improvements in reasoning accuracy, efficiency, and skill transfer. Together, these findings highlight the potential of explicit structure to support more reliable, efficient, and adaptive reasoning in LLMs.\u003C\/p\u003E\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E","summary":"","format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EStructure-Driven Agentic Reasoning for Large Language Models\u003C\/p\u003E","format":"limited_html"}],"field_summary_sentence":[{"value":"Structure-Driven Agentic Reasoning for Large Language Models"}],"uid":"27707","created_gmt":"2026-11-13 19:00:38","changed_gmt":"2026-11-13 19:22:23","author":"Tatianna Richardson","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2026-11-24T11:00:00-05:00","event_time_end":"2026-11-24T13:00:25-05:00","event_time_end_last":"2026-11-24T13:00:25-05:00","gmt_time_start":"2026-11-24 16:00:00","gmt_time_end":"2026-11-24 18:00:25","gmt_time_end_last":"2026-11-24 18:00:25","rrule":null,"timezone":"America\/New_York"},"location":"ZOOM","extras":[],"groups":[{"id":"221981","name":"Graduate Studies"}],"categories":[],"keywords":[{"id":"100811","name":"Phd Defense"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"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":""}}}