Industry Day PROGRAMME
Below you can download a PDF version of the Industry Day's Programme.
Industry Day will take place in Lecture Theatre 2 in the Teaching and Learning Building, University of Birmingham
Sunday 22nd October
| Arrival Refreshments - 9:00am - 9:20am | |
| Welcome Talk - 9:20am - 9:30am | |
| Session 1 - 9:30am - 10:30am | |
| LLM applications | |
| Antonio Maiorino, Zoe Padgett, Chun Wang, Misha Yakubovskiy and Peng Jiang | Application and Evaluation of Large Language Models for the Generation of Survey Questions |
| Dell Zhang, Alina Petrova, Dietrich Trautmann and Frank Schilder | Unleashing the Power of Large Language Models for Legal Applications |
| Itzik Malkiel, Uri Alon,
Yakir Yehdua, Shahar Keren, Oren Barkan, Royi Ronen and Noam Koenigstein | Harnessing GPT for
Topic-Based Call Segmentation in Microsoft Dynamics 365 Sales |
| Refreshment Break - 10:30am - 11:00am | |
| Session 2 - 11:00am - 12:20pm | |
| Database languages | |
| Michael Miller | Astrolabe: Visual Graph Database Queries with Tabular Output |
| Christoph Dorn and Haikal Pribadi | Type theory as a unifiying paradigm for data models |
| MLOps | |
| Ling Jiang, Xiaoyu Chu, Saaransh Gulati, Pulkit Garg, Andrew Borthwick and Gang Luo | Proactive and Automatic Detection of Product Misclassifications at Massive Scale |
| Priyansh Saxena and Manisha R | Vigil: Effective end-to-end monitoring for large-scale recommender systems at Glance |
| Lunch - 12:30pm - 2:00pm | |
| Session 3 - 2:00pm - 3:20pm | |
| Comparative study of LLMs | |
| Georgios Balikas | Comparative Analysis of Open Source and Commercial Embedding Models for Question Answering |
| Roy Eisenstadt, Abedelkader Asi and Royi Ronen | Comparing Fine-Tuned Transformers and Large Language Models for Sales Call Classification: A Case Study |
| User Modelling | |
| Ikram Boukharouba | From User Activity Traces To Navigation Graph for software enhancement: An Application Of Graph Neural Network (GNN) On a Real-world Non-attributed Graph |
| Prathyusha Senthil Kumar | Practical Lessons Learned From Detecting, Preventing and Mitigating Negative Experiences in Facebook |
| Refreshment Break - 3:30pm - 4:00pm | |
| Session 4 - 4:00pm - 5:00pm | |
| Learning algorithms | |
| Ze Ye, Dantong Liu, Kaushik Pavani and Sunny Dasgupta | LAMM: Language Aware Active Learning for Multilingual Models |
| Hacer Turgut, Tan Doruk Yetki, Tayfun Arda Yücel and Ömür Bali | Prod2Vec-Var: A Session Based Recommendation System with Enhanced Diversity |
| Indranil Bhattacharya, Ze Ye, Kaushik Pavani and Sunny Dasgupta | RT2S: A Framework for Learning with Noisy Labels |
| Close - 5:00pm - 5:10pm | |