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## 논문 소개
이미 대략적인 내용은 알고, 소개나 실 사용은 다른곳에 더 잘 정리되어있지만 논문 읽는 연습차원에서 정리
기존 최대 학습량인 17 billion (170억) 개에 비해 175 billion (1750억) 파라미터로 학습한 모델을 실험
### Introduction
특정 NLP task만 보면 성능이 부족할 수 있지만, …
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## Problem statement
1. performance bottleneck in knowledge-based VQA due to two-phase architecture consists of knowledge retrieval from external soruces and training question answering task in super…
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Paper title: Active Retrieval Augmented Generation ([link to paper](https://arxiv.org/abs/2305.06983))
Estimated time to complete the review: by 08/28/23
If you are new to Manifold, here are some he…
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Hello,
When I run the reasoning.py file, the acceptedProof is always empty, is this expected? How do I see generated proofs?
Additionally, I don't see the neural theorem prover learning in reaso…
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
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Hello, I am very interested in your work and I am using other knowledge graph datasets to run your project. May I ask what is the difference between the ExplaGraphs, SceneGraphs, WebQSP, and regular k…
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Input variable "query" not in docstring of "web_search_func". Adding it to docstring
Input variable "query" not in docstring of "arxiv_search_func". Adding it to docstring
Observation: No subta…
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Dataloader name: `okapi_m_arc/okapi_m_arc.py`
DataCatalogue: http://seacrowd.github.io/seacrowd-catalogue/card.html?okapi_m_arc
| Dataset| okapi_m_arc |
|-------------|---|
| Description | m-ARC …