Amina Abdullahi @NAACL
@amilah-dul.bsky.social
CS PhD student @Brown | Biomedical AI | IR | NLP.
Bio: https://tassabdul.github.io/
Bio: https://tassabdul.github.io/
4/n: Why this matters:
• Interpretability baked in - paths double as explanations.
•Efficiency - huge KG reductions help scale to real-world biomedical workloads.
•Generalization - works in unseen (inductive) settings.
• Interpretability baked in - paths double as explanations.
•Efficiency - huge KG reductions help scale to real-world biomedical workloads.
•Generalization - works in unseen (inductive) settings.
June 2, 2025 at 9:20 PM
4/n: Why this matters:
• Interpretability baked in - paths double as explanations.
•Efficiency - huge KG reductions help scale to real-world biomedical workloads.
•Generalization - works in unseen (inductive) settings.
• Interpretability baked in - paths double as explanations.
•Efficiency - huge KG reductions help scale to real-world biomedical workloads.
•Generalization - works in unseen (inductive) settings.
2/n: K-Paths is not just a retrieval method.
It’s a pipeline that combines:
• Heuristics path finding (Yen’s algorithm)
• Diversity-aware selection
• Graph pruning
• Natural language transformation to aid reasoning for LLMs.
•GNN/LLM integration
It’s a pipeline that combines:
• Heuristics path finding (Yen’s algorithm)
• Diversity-aware selection
• Graph pruning
• Natural language transformation to aid reasoning for LLMs.
•GNN/LLM integration
June 2, 2025 at 9:20 PM
2/n: K-Paths is not just a retrieval method.
It’s a pipeline that combines:
• Heuristics path finding (Yen’s algorithm)
• Diversity-aware selection
• Graph pruning
• Natural language transformation to aid reasoning for LLMs.
•GNN/LLM integration
It’s a pipeline that combines:
• Heuristics path finding (Yen’s algorithm)
• Diversity-aware selection
• Graph pruning
• Natural language transformation to aid reasoning for LLMs.
•GNN/LLM integration
Thrilled to share our KDD 2025 paper: Can large language models (LLMs) reason like biomedical scientists?
We introduce K-Paths, a retrieval framework for extracting reasoning paths from knowledge graphs (KGs) to aid drug discovery tasks.
👇 Thread:
We introduce K-Paths, a retrieval framework for extracting reasoning paths from knowledge graphs (KGs) to aid drug discovery tasks.
👇 Thread:
June 2, 2025 at 9:20 PM
Thrilled to share our KDD 2025 paper: Can large language models (LLMs) reason like biomedical scientists?
We introduce K-Paths, a retrieval framework for extracting reasoning paths from knowledge graphs (KGs) to aid drug discovery tasks.
👇 Thread:
We introduce K-Paths, a retrieval framework for extracting reasoning paths from knowledge graphs (KGs) to aid drug discovery tasks.
👇 Thread:
Speech tech is everywhere, even healthcare. But how well does it work for African accented English? 🤔
We benchmarked SOTA models for speaker diarization, ASR & LLM summarization on medical & general conversations.
Find me at the 11 am poster session in Hall 3 to learn more!
#NLP4Healthcare
We benchmarked SOTA models for speaker diarization, ASR & LLM summarization on medical & general conversations.
Find me at the 11 am poster session in Hall 3 to learn more!
#NLP4Healthcare
May 2, 2025 at 4:34 PM
Speech tech is everywhere, even healthcare. But how well does it work for African accented English? 🤔
We benchmarked SOTA models for speaker diarization, ASR & LLM summarization on medical & general conversations.
Find me at the 11 am poster session in Hall 3 to learn more!
#NLP4Healthcare
We benchmarked SOTA models for speaker diarization, ASR & LLM summarization on medical & general conversations.
Find me at the 11 am poster session in Hall 3 to learn more!
#NLP4Healthcare