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文本生成
文本生成(Text Generation)是自然语言处理领域的一项任务,旨在通过算法生成与人类书写的文本难以区分的内容。该任务利用马尔可夫过程或深度生成模型如LSTM实现,近期最先进方法包括BART、GPT及基于GAN的方案。系统评估通常采用人工评分或METEOR、ROUGE、BLEU等自动评价指标。文本生成在对话系统、自动摘要、机器翻译等领域具有重要应用价值。
EMNLP2017 WMT
LeakGAN
ReDial
UniCRS
COCO Captions
LeakGAN
ROCStories
Beam search + A*esque (sample)
CommonGen
UniLM
DART
OpenWebText
Yahoo Questions
Aggressive VAE
SciQ
Czech restaurant information
Chinese Poems
RankGAN
CMU-SE
STWGAN-GP
LCSTS
One Billion Word
WGANGP + DGflow
DailyDialog
HarmfulQA
GPT-4
LDC2016E25
CNN/Daily Mail
PALM
CSL
ADGEN
MT-Bench-jp
MMLU (5-Shot)
Stories/Jokes
ENEM Challenge (No Images)
ARC-Challenge (PT)
MuSR (0-shot)
PT Hate Speech Binary
Assin2 RTE
CALAME-PT
HellaSwag TR
HellaSwag (PT)
Talking (0-shot)
WikiText-103
HateBR Binary
AI2 Reasoning Challenge TR
IFEval (0-Shot)
Winogrande TR
World Knowledge (0-shot)
Drop (3-Shot)
GSM8k (5-shot)
TruthfulQA (0-shot)
BBH (3-Shot)
MMLU TR
GSM8k TR
OAB Exams
W/10
MMLU-PRO (5-shot)
HellaSwag (10-Shot)
GPQA (0-shot)
Assin2 STS
MATH Lvl 5 (4-Shot)
AlpacaEval
Internet
Alpaca-Eval (PT)
BLUEX (No Images)
Creativity (0-shot)
TruthfulQA
tweetSentBR
AI2 Reasoning Challenge (25-Shot)
TruthfulQA (PT)
Open-Mindedness (0-shot)
PolContro
Unruly
MT-Bench
FaQuAD NLI
Winogrande (5-shot)
LAMBADA-PT
Censorship (0-shot)
Humanness (0-shot)
TruthfulQA TR
CrimeStats