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Biomedical Visual Instruction Tuning with Clinician Preference Alignment
The related works and background techniques about Openai o1
"QPaug: Question and Passage Augmentation for Open-Domain Question Answering of LLMs" Empirical Methods in Natural Language Processing (EMNLP) 2024, Findings, Accepted.
[Under Review] Official PyTorch implementation code for realizing the technical part of Phantom of Latent representing equipped with enlarged hidden dimension to build super frontier vision languag…
PubMedQA: A Dataset for Biomedical Research Question Answering
Efficiently Fine-Tune 100 LLMs in WebUI (ACL 2024)
LLM Tuning with PEFT (SFT RM PPO DPO with LoRA)
Chain-of-Spot: Interactive Reasoning Improves Large Vision-language Models
Paper Reproduction Google SCoRE(Training Language Models to Self-Correct via Reinforcement Learning)
yjch00 / CoQAH
Forked from tae2hee/CoQAH[ECAI 2024 Oral] CoQAH : Generalizing Visual Question Answering from Synthetic to Human-Written Questions via a Chain of QA with a Large Language Model
[MIDL 2024] PLURAL : Pretraining Vision-Language Model for Difference Visual Question Answering in Longitudinal Chest X-ray
A Large ECG-Language Model for Cardiac Disease Diagnosis
MCPL: Multi-modal Collaborative Prompt Learning for Medical Vision-Language Model (Initial Version)
[ACL'24] Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"
[ECCV'2024] HERGen: Elevating Radiology Report Generation with Longitudinal Data
[ACL'24] Selective Reflection-Tuning: Student-Selected Data Recycling for LLM Instruction-Tuning
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.
Evaluating LLMs' multi-round chatting capability via assessing conversations generated by two LLM instances.
Exploring limitations of LLM-as-a-judge
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains