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/
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
Reposted by Amina Abdullahi @NAACL
I am pleased to share the report of the Text Retrieval Conference (TREC) Biomedical Generative Retrieval (BioGen) Track, a challenge evaluation to assess reference attribution in LLMs for clinical questions.
arxiv.org/abs/2411.18069
arxiv.org/abs/2411.18069
Overview of TREC 2024 Biomedical Generative Retrieval (BioGen) Track
With the advancement of large language models (LLMs), the biomedical domain has seen significant progress and improvement in multiple tasks such as biomedical question answering, lay language summariz...
arxiv.org
December 1, 2024 at 2:12 PM
I am pleased to share the report of the Text Retrieval Conference (TREC) Biomedical Generative Retrieval (BioGen) Track, a challenge evaluation to assess reference attribution in LLMs for clinical questions.
arxiv.org/abs/2411.18069
arxiv.org/abs/2411.18069
Thank you Dr. @kevinkaichuang.bsky.social for the follow back! As my first follower you deserve a shoutout. Have a great week ahead!
November 19, 2024 at 2:13 PM
Thank you Dr. @kevinkaichuang.bsky.social for the follow back! As my first follower you deserve a shoutout. Have a great week ahead!