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Found 9 papers, 2 papers with code
FreeLM: Fine-Tuning-Free Language Model
FreeLM outperforms large models e. g., GPT-3 and InstructGPT, on a range of language understanding tasks in experiments.
NetGPT: Generative Pretrained Transformer for Network Traffic
Pretrained models for network traffic can utilize large-scale raw data to learn the essential characteristics of network traffic, and generate distinguishable results for input traffic without considering specific downstream tasks.
GCRE-GPT: A Generative Model for Comparative Relation Extraction
Given comparative text, comparative relation extraction aims to extract two targets (\eg two cameras) in comparison and the aspect they are compared for (\eg image quality).
PoKE: Prior Knowledge Enhanced Emotional Support Conversation with Latent Variable
Further experiments prove that abundant prior knowledge is conducive to high-quality emotional support, and a well-learned latent variable is critical to the diversity of generations.
Perplexity from PLM Is Unreliable for Evaluating Text Quality
Recently, amounts of works utilize perplexity~(PPL) to evaluate the quality of the generated text.
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction
CofeNet is able to extract complicated quotations with components of variable lengths and complicated structures.
Chat-Capsule: A Hierarchical Capsule for Dialog-level Emotion Analysis
These models hence are not optimized for dialog-level emotion detection, i. e. to predict the emotion category of a dialog as a whole.
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict
Based on this dual-channel framework, we design the Dual-Channel Network~(DC-Net) to recognize sentiment conflict.
Peeking the Impact of Points of Interests on Didi
Recently, the online car-hailing service, Didi, has emerged as a leader in the sharing economy.
