Comments (1)
You can see the evaluation files of the two works, and you can find that the evaluation methods of the two works are actually different. This point is also highlighted in Section 4.3 of AR-DIFFUSION, which hopefully will address your concerns.
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Related Issues (20)
- Where to obtain the test.tgt for CNN/DM data HOT 5
- The reported scores of GENIE are not fair HOT 1
- GENIE: decoder_nll loss is always equal to 0 for training from scratch HOT 2
- Can use_fp16 be used?
- Character level
- Can't Find Pretrained Checkpoint of Prophetnet: HOT 1
- Unable to load the GENIE model HOT 1
- The datasets have no dev set? HOT 1
- Options Employed for Training or Inference on the CNN/DM Dataset HOT 1
- It seems that the core code of CRITIC, particularly the part involving Google API search, is not implemented HOT 4
- Missing key documents for AR-Diffusion HOT 1
- where is "mbr_select.py" in AR-Diffusion HOT 1
- Unable to run Genie_Finetune.py HOT 1
- “load_fairseq” not found in "AR-Diffusion/data_utils" HOT 3
- Question for GENIE Finetuning, how to specify epochs for training/finetuning? HOT 1
- “load_fairseq” not found in "AR-Diffusion/data_utils" HOT 1
- [AR-Diffusion] predict_xstart vs predict_x_start HOT 3
- AR-Diffusion data.name and exp.name HOT 2
- Request the execution code of llama2
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