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Ryan Foster

f0ster

f0ster

AI & ML interests

📝🖼️🗣️🐙

Recent Activity

upvoted a paper 30 days ago

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

upvoted a paper 30 days ago

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

commented a paper about 1 month ago

CogVLM2: Visual Language Models for Image and Video Understanding

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f0ster's activity

upvoted 2 papers 30 days ago

ARCLE: The Abstraction and Reasoning Corpus Learning Environment for Reinforcement Learning

Paper • 2407.20806 • Published Jul 30 • 1

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Paper • 2410.19168 • Published Oct 24 • 19

commented a paper about 1 month ago

CogVLM2: Visual Language Models for Image and Video Understanding

Paper • 2408.16500 • Published Aug 29 • 56 •

upvoted 3 papers about 1 month ago

SpatialVLM: Endowing Vision-Language Models with Spatial Reasoning Capabilities

Paper • 2401.12168 • Published Jan 22 • 26

To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Paper • 2409.12183 • Published Sep 18 • 36

Think you have Solved Direct-Answer Question Answering? Try ARC-DA, the Direct-Answer AI2 Reasoning Challenge

Paper • 2102.03315 • Published Feb 5, 2021 • 1

liked a Space 3 months ago

Running

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Reacted to aaditya's post with ❤️ 3 months ago

Post

3484

Last Week in Medical AI: Top Research Papers/Models
🏅(September 1 - September 7, 2024)

Medical LLM & Other Models :
- CancerLLM: Large Language Model in Cancer Domain
- MedUnA: Vision-Language Models for Medical Image
- Foundation Model for Robotic Endoscopic Surgery
- Med-MoE: MoE for Medical Vision-Language Models
- CanvOI: Foundation Model for Oncology
- UniUSNet: Ultrasound Disease Prediction
- DHIN: Decentralized Health Intelligence Network

Medical Benchmarks and Evaluations:
- TrialBench: Clinical Trial Datasets & Benchmark
- LLMs for Medical Q&A Evaluation
- MedFuzz: Exploring Robustness Medical LLMs
- MedS-Bench: Evaluating LLMs in Clinical Tasks
- DiversityMedQA: Assessing LLM Bias in Diagnosis
- LLM Performance in Gastroenterology

LLM Digital Twins:
- Digital Twins for Rare Gynecological Tumors
- DT-GPT: Digital Twins for Patient Health Forecasting

Medical LLM Applications:
- HIPPO: Explainable AI for Pathology
- LLMs vs Humans in CBT Therapy
- ASD-Chat: LLMs for Autistic Children
- LLMs for Mental Health
- LLMs for Postoperative Risk Prediction

Frameworks and Methodologies:
- Rx Strategist: LLM-based Prescription Verification
- Medical Confidence Elicitation
- Guardrails for Medical LLMs

Check the full thread : https://x.com/OpenlifesciAI/status/1832476252260712788

Thank you for your continued support and love for this series! Stay up-to-date with weekly updates on Medical LLMs, datasets, and top research papers by following @aaditya 🤗

Reacted to TuringsSolutions's post with 👀👍❤️🔥 3 months ago

Post

2268

I developed a way to test very clearly whether or not a Transformers model can actually learn symbolic reasoning, or if LLM models are forever doomed to be offshoots of 'Socratic Parrots'. The results are in, undeniable proof that Transformers models CAN learn symbolic relationships. Undeniable proof that AI can learn its ABC's. Credit goes to myself, Claude, and ChatGPT. I would not be able to prove this without Claude or ChatGPT.

https://www.youtube.com/watch?v=I8jHRgahRfY