kiri
qagnn
| kiri | qagnn | |
|---|---|---|
| 2 | 6 | |
| 461 | 588 | |
| - | - | |
| 8.4 | 0.0 | |
| 16 days ago | about 1 year ago | |
| Shell | Python | |
| MIT License | MIT License |
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kiri
- Kiri Docker
-
KDiff is KiRI now.
This is the new repository https://github.com/leoheck/kiri
qagnn
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[D] what percent of top conference papers fudge results?
QA-GNN (https://github.com/michiyasunaga/qagnn from a Stanford lab) had some issues with their evaluation, but more importantly this work 'GNN is counting?...' (https://openreview.net/forum?id=hzmQ4wOnSb) showed that they can achieve better results with an extremely simplistic 1-dim GNN model - so the performance of QA-GNN was mainly due to data. AFAIK there were discussions around this, but now if you go to QA-GNN repo they have disabled issues tab.
- Stanford’s AI Researchers Introduce QA-GNN Model That Jointly Reasons With Language Models And Knowledge Graphs
- [R] Stanford’s AI Researchers Introduce QA-GNN Model That Jointly Reasons With Language Models And Knowledge Graphs
What are some alternatives?
Questgen.ai - Question generation using state-of-the-art Natural Language Processing algorithms
kiri - Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
simpletransformers - Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI
RecBole - A unified, comprehensive and efficient recommendation library
gpt-neox - An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
LinkBERT - [ACL 2022] LinkBERT: A Knowledgeable Language Model 😎 Pretrained with Document Links
lm-evaluation-harness - A framework for few-shot evaluation of language models.
prompt-lib - A set of utilities for running few-shot prompting experiments on large-language models
4ms-kicad-lib - libraries for KiCAD schematics and footprints
pal - PaL: Program-Aided Language Models (ICML 2023)
CLIP - CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
question_extractor - Generate question/answer training pairs out of raw text.