Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning   To build a high-quality open-domain chatbot, we introduce the effective
training process of PLATO-2 via curriculum learning. There are two stages
involved in the learning process. In the first stage, a coarse-grained
generation model is trained to learn response generation under the simplified
framework of one-to-one mapping. In the second stage, a fine-grained generative
model augmented with latent variables and an evaluation model are further
trained to generate diverse responses and to select the best response,
respectively. PLATO-2 was trained on both Chinese and English data, whose
effectiveness and superiority are verified through comprehensive evaluations,
achieving new state-of-the-art results.

7
The categories of this paper are: hep-th
6
The categories of this paper are: astro-ph
37
The categories of this paper are: supr-con
4
The categories of this paper are: cond-mat
27
The categories of this paper are: comp-gas
12
The categories of this paper are: nucl-th
10
The categories of this paper are: q-bio
8
The categories of this paper are: hep-ex
36
The categories of this paper are: cmp-lg
30
The categories of this paper are: q-alg
13
The categories of this paper are: quant-ph
35
The categories of this paper are: mtrl-th
28
The categories of this paper are: alg-geom
2
The categories of this paper are: math
32
The categories of this paper are: atom-ph
25
The categories of this paper are: patt-sol