# Team Projects

## Projects

1. **Improvements Leveraging Multimodal GNN Techniques to Improve Cancer Recurrence Prediction**\
   : Akhil Arularasu, Alexander Liu, Thomas Ma ([promo](https://drive.google.com/file/d/1M2VWNuCwArjySPe814o7nVLd4p4UTaJS/view?usp=sharing), [paper](https://drive.google.com/file/d/18K0jEiUl0dGfjikNUyaQRObYAPPnRn3D/view?usp=sharing), [slides](https://drive.google.com/file/d/1o_oODD3lXnbUa8VXpRMIvTq7ATfYa56C/view?usp=sharing), [poster](https://drive.google.com/file/d/1-Xn8YnwJXW_ZVhwvRYK3JF8fc3rLq744/view?usp=sharing), [reviews](https://drive.google.com/file/d/1nfn-waOYqahSoVLD2xhGcvziz4KHVaKL/view?usp=sharing), [commentaries](https://drive.google.com/file/d/1l0cmi7bc0gErKKgxJoTlWet236sxP6Kb/view?usp=sharing))
2. **RE-AMP: Robustness Evaluation of Adversarial Music Poisoning**\
   : Andrew Lee, Fatim Majumder, Beck Miller ([promo](https://drive.google.com/file/d/1OcfLJeenAltbrG1fnEDodmjElRGpPoRI/view?usp=sharing), [paper](https://drive.google.com/file/d/1EBi1reHKMtdIllQOE_NFR1CxGeNKGDjB/view?usp=sharing), [slides](https://drive.google.com/file/d/1TZ8fLXo1ibP_CyBpD1Q40guGYljXUayz/view?usp=sharing), [poster](https://drive.google.com/file/d/10HKwuIPXCYchmUCsmjCV0UDxZVm8Lneq/view?usp=sharing), [reviews](https://drive.google.com/file/d/1IrEeqOZN3sm22CqpK3grNnpauEdCKA6-/view?usp=sharing), [commentaries](https://drive.google.com/file/d/1Vf2L_rszidG110SRb2WOGiN9qjYbnGuz/view?usp=sharing))
3. **Emergence: Overcoming Privileged Information Bias in Asymmetric Embodied Agents via Active Querying**\
   : Shaun Baek, Sam Liu, Joseph Ukpong ([promo](https://drive.google.com/file/d/1AISxCbZeoG-i6q2e6DdZj2ePuDqZ0flO/view?usp=sharing), [paper](https://drive.google.com/file/d/1KfXkNPAj4YBt6Vw3S-vEszntVNnA46oF/view?usp=sharing), [slides](https://drive.google.com/file/d/13FFUQxB8dJN8QfrLXHhJqzfA0JFQRo8o/view?usp=sharing), [poster](https://drive.google.com/file/d/1Gi_IqKOf6xgswPUzvgZshLe1_EgC6mn_/view?usp=sharing), [reviews](https://drive.google.com/file/d/1BHcCtVXqoDX5v8mv91M_58amhVJ12-re/view?usp=sharing), [commentaries](https://drive.google.com/file/d/1XG6HIMA1devM8AwL4LTlxXptWg2pzlpj/view?usp=sharing))
4. **GeoLens: A Temporal-aware, Multimodal Retrieval-Augmented QA System for Geospatial Question Answering**\
   : Mingyang Li, Henry Ning, Ethan Yang ([promo](https://drive.google.com/file/d/19rdDQZt-xUXg4-uJ8zxUyPoJwdCpSAOo/view?usp=sharing), [paper](https://drive.google.com/file/d/1SLmwD96sEyo7HQDWhmMf59IjRk4WJpRq/view?usp=sharing), [slides](https://drive.google.com/file/d/1guJPQPtWVpfuAsT8F3oBcanEnyTm9kU1/view?usp=sharing), [poster](https://drive.google.com/file/d/1prwcpxeQB_MMQ05GBSCidqg5VarOQzmj/view?usp=sharing), [reviews](https://drive.google.com/file/d/1Ymwu8JIARPkNpuvy8S4_Sj9L7zuT0F-p/view?usp=sharing), [commentaries](https://drive.google.com/file/d/10rwU-AzSPJrpNhWAw7fXX6du2ndb_uxs/view?usp=sharing))
5. **Evaluating Instruction Following in Singular Multistep Prompt Structures**\
   : Andrew Jaffe, Riyaa Randhawa, and Noah Reicin ([promo](https://drive.google.com/file/d/1j1PhYPpn2KVaDl__mZ0XBPOTcgHrVTHK/view?usp=sharing), [paper](https://drive.google.com/file/d/1F3h88IHDXeFI091w-90ezIjijeE-lKHm/view?usp=sharing), [slides](https://drive.google.com/file/d/1Bx1sRUyB-G65Qc9xAQ-3uXMRz0-9S28s/view?usp=sharing), [poster](https://drive.google.com/file/d/1rX4CHlKw2eKTsqQliIsytzpWlhLlBUCy/view?usp=sharing), [reviews](https://drive.google.com/file/d/16TVYFl84rS6Ukj7JRqCW2eu3nRrgylkh/view?usp=sharing), [commentaries](https://drive.google.com/file/d/1yMKVy3UGa8_rEWNScOfBMgzqWSbnpFdY/view?usp=sharing))
6. **Instructing LLM to Learn User Behavior through Self-Training**\
   : Henry Gao ([promo](https://drive.google.com/file/d/1lH9o2ph64nPsmQyWC3KQ8fi0i7xrqEab/view?usp=sharing), [paper](https://drive.google.com/file/d/1sWshYNzV12QJKHg29lQg1dN9pQDjswuB/view?usp=sharing), [slides](https://drive.google.com/file/d/1H-Et0Q5qVNCtscZcaDt7Z7njLRnS7WAH/view?usp=sharing), [poster](https://drive.google.com/file/d/1iPbDpLFg10AaHM_x7NSkrZP25Q86kS2F/view?usp=sharing), [reviews](https://drive.google.com/file/d/1D9u709nc8nm5sNaqTbHNQV5xhzdUE9lK/view?usp=sharing), [commentaries](https://drive.google.com/file/d/1LE77tA7c3-7Yobe4g5asq3mFgICUJ-Cw/view?usp=sharing))


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://emory.gitbook.io/ai-research-practicum/team-projects.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.