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[ACL 2020] Generating Diverse and Consistent QA pairs from Contexts with Information-Maximizing Hierarchical Conditional VAEs

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I read the derivation you provided in appendix A, but I don't know how the last approximation is obtained, I hope to get your answer, thank you very much

Can you provide models that have been trained in main.py and saved at./save/vae-checkpoint? My email is [email protected]. Your research is very helpful to me and I will cite your article...

ModuleNotFoundError: No module named 'transformers.tokenization_bert' how can i sovle this problem

Runtime error : lengths should be 1-D CPU int64 tensor, got cuda:0 Long tensor

Traceback (most recent call last): File "main.py", line 116, in main(args) File "main.py", line 38, in main trainer.train(c_ids, q_ids, a_ids, start_positions, end_positions) File "/home/2018/Info-HCVAE-master/vae/trainer.py", line 35, in train loss.backward() File...

/pytorch/aten/src/THC/THCTensorIndex.cu:361: void indexSelectLargeIndex(TensorInfo, TensorInfo, TensorInfo, int, int, IndexType, IndexType, long) [with T = float, IndexType = unsigned int, DstDim = 2, SrcDim = 2, IdxDim = -2, IndexIsMajor = true]:...

使用bert_base_chinese模型,在加载state_dict时出现key错误: Unexpected key(s) in state_dict: "answer_decoder.embedding.embedding.position_ids", "question_decoder.context_lstm.embedding.embedding.position_ids".

{"context": "[UNK] \u4e16 [UNK] \u672c [UNK] [UNK] \u6709 [UNK] [UNK] \u795e [UNK] \u7684 \uff0c [UNK] [UNK] \u592a \u53e4 [UNK] [UNK] \uff0c \u4eba [UNK] [UNK] [UNK] [UNK] [UNK] \u4e16 [UNK] \uff0c...

![image](https://github.com/seanie12/Info-HCVAE/assets/103376469/afb2d98d-e34a-41a1-a8fb-06a76ee7a37f) The version of Python is 3.11.5, Why is this error reported below? ![image](https://github.com/seanie12/Info-HCVAE/assets/103376469/b314a54a-9163-49c0-92ae-759444cc14f7)