I attended KDD 2023 which was held in Long Beach, CA from Aug 6-10. Here are some notes from the conference, mainly for my sake.
- Day 2
- Day 3
- The LLM (Large Language Model) Revolution: Implications from Chatbots and Tool-use to Reasoning - Ed Chi and some of the slides
- LLM Day Notes: Notes from Large Language Model Day with sessions spanning from 10am-5:30pm on 2023-08-08. https://bigmodel.ai/llmday-kdd23/
- From Documents to Dialogues: How LLMs are Shaping the Future of Work - Jaime Teevan (Microsoft)
- Teach language models to reason (Denny Zhou (Google DeepMind))
- Llama 2: Open Foundation and Fine-Tuned Chat Models - Vedanuj Goswami (Meta FAIR)
- From GLM-130B to ChatGLM - Peng Zhang (Zhipu AI)
- The large language model renaissance: paradigms and challenges - Jason Wei (OpenAI) - Slides
- Panel - Paradigm Shifts in the Era of LLMs: Opportunities and Challenges in Academia, Industry, and Society
- Day 4
- People and Machines: Pathways to Deeper Human-AI Synergy - Eric Horvitz, Microsoft
- Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective - though the slides below are much better. There was an intro and Parts 1-3 were presented. Part 4 was rushed through. Part 5 was not presented at KDD.
- Webpage
- Introduction (Slides)
- Part I: Language Foundation Models (Slides)
- Part II: Embedding-Driven Topic Discovery (Slides)
- Part III: Weakly-Supervised Text Classification (Slides)
- Part IV: Language Models for Knowledge Base Construction (Slides)
- Part V: Advanced Text Mining Applications (Slides)
- https://github.com/mickeysjm/awesome-taxonomy - a previous student from their research group maintains this repo
- LLMs in Education: Opportunities and Challenges
- Day 5
| Time | Speaker | Title |
|---|---|---|
| 8:00-8:10AM, 2023/08/07 (PDT) | Host Chair | Welcome and Open Remarks |
| 8:10-8:40AM, 2023/08/07 (PDT) | Ed Chi [Google] | Talk 1: LLM Revolution: Implications rom Chatbots and Tool-Use to Reasoning |
| 8:40-9:10AM, 2023/08/07 (PDT) | Tania Bedrax-Weiss [Google] | Talk 2: Large-scale AI Model Research at Google Pre-training, Fine-tuning, and Prompt-based Learning |
| 9:10-9:25AM, 2023/08/07 (PDT) | Michihiro Yasunaga, Armen Aghajanyan, Weijia Shi, Rich James, Jure Leskovec, Percy Liang, Mike Lewis, Luke Zettlemoyer and Wen-Tau Yih | Paper-1: Retrieval-Augmented Multimodal Language Modeling |
| 9:25-9:40AM, 2023/08/07 (PDT) | Silvia Terragni, Modestas Filipavicius, Nghia Khau, Bruna Guedes, André Manso and Roland Mathis | Paper-2: In-Context Learning User Simulators for Task-Oriented Dialog Systems |
| 9:40-9:55AM, 2023/08/07 (PDT) | Piotr Kluska, Florian Scheidegger, A. Cristano I. Malossi and Enrique S. Quintana-Ortí | Paper-3 : Challenges in post-training quantization of Vision Transformers |
| 9:55-10:10AM, 2023/08/07 (PDT) | Haotian Ju, Dongyue Li, Aneesh Sharma and Hongyang Zhang | Paper-4 : Generalization in Graph Neural Networks: Improved PAC-Bayesian Bounds on Graph Diffusion |
| 10:10-10:30AM, 2023/08/07 (PDT) | Coffee Break | |
| 10:30-11:00AM, 2023/08/07 (PDT) | Shafiq Joty [Salesforce] | Talk 3: NLP Research in the Era of LLMs |
| 11:00-11:30AM, 2023/08/07 (PDT) | YiKang Shen[IBM] | Talk 4: Modular Large Language Model and Principle-Driven alignment with Minimal Human Supervision |
| 11:30-11:40AM, 2023/08/07 (PDT) | Hong Sun, Xue Li, Yinchuan Xu, Youkow Homma, Qi Cao, Min Wu, Jian Jiao and Denis Charles | Paper-5: AutoHint: Automatic Prompt Optimization with Hint Generation |
| 11:40-11:50AM, 2023/08/07 (PDT) | Zhichao Wang, Mengyu Dai and Keld Lundgaard | Paper-6: Text-to-Video: a Two-stage Framework for Zero-shot Identity-agnostic Talking-head Generation |
| 11:50-12:00PM, 2023/08/07 (PDT) | Long Hoang Dang, Thao Minh Le, Tu Minh Phuong and Truyen Tran | Paper-7: Compositional Prompting with Successive Decomposition for Multimodal Language Models |
| 12:00PM-12:10PM, 2023/08/07 (PDT) | Zhen Guo, Yanwei Wang, Peiqi Wang and Shangdi Yu | Paper-8: Dr. LLaMA: Improving Small Language Models on PubMedQA via Generative Data Augmentation |
| 12:10-12:20PM, 2023/08/07 (PDT) | Haopeng Zhang, Xiao Liu and Jiawei Zhang | Paper-9 : Extractive Summarization via ChatGPT for Faithful Summary Generation |
| 12:20-12:30PM, 2023/08/07 (PDT) | Closing Remarks |
| Time | Event | Speaker/Details |
|---|---|---|
| Date: | Aug. 8, 2023 | Room: Grand A |
| 10:00-12:00 | Distinguished Keynotes | |
| 10:00-10:10 | Opening Remarks | Jie Tang (Tsinghua University) |
| 10:10-11:00 | Jaime Teevan (Microsoft) | From Documents to Dialogues: How LLMs are Shaping the Future of Work |
| 11:00-11:50 | Denny Zhou (Google DeepMind) | Teach language models to reason |
| 12:00-13:30 | Lunch | |
| 13:30-15:30 | Keynotes | |
| 13:30-14:10 | Vedanuj Goswami (Meta FAIR) | Llama 2: Open Foundation and Fine-Tuned Chat Models |
| 14:10-14:50 | Peng Zhang (Zhipu AI) | From GLM-130B to ChatGLM |
| 14:50-15:30 | Jason Wei (OpenAI) | The large language model renaissance: paradigms and challenges |
| 15:30-16:00 | Coffee Break | |
| 16:00-17:30 | Panel: Paradigm Shifts in the Era of LLMs | Opportunities and Challenges in Academia, Industry, and Society. Moderator: Qiaozhu Mei (University of Michigan) |
| Invited Panelists: Ed Chi (Google DeepMind), Vedanuj Goswami (Meta FAIR), Jaime Teevan (Microsoft), Vy Vo (Intel Labs), Denny Zhou (Google DeepMind) |
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