devjwsong / gpt2-dialogue-generation-pytorch
The PyTorch implementation of fine-tuning the GPT-2(Generative Pre-trained Transformer 2) for dialogue generation.
☆174Updated 9 months ago
Alternatives and similar repositories for gpt2-dialogue-generation-pytorch:
Users that are interested in gpt2-dialogue-generation-pytorch are comparing it to the libraries listed below
- Fine-tuning GPT-2 Small for Question Answering☆129Updated 2 years ago
- The code of ACL 2020 paper "You Impress Me: Dialogue Generation via Mutual Persona Perception"☆307Updated last year
- SOM-DST: Efficient Dialogue State Tracking by Selectively Overwriting Memory (ACL 2020)☆153Updated 7 months ago
- Source Code for DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances (https://arxiv.org/pdf/2012.0…☆76Updated 3 years ago
- Source codes and dataset of Call for Customized Conversation: Customized Conversation Grounding Persona and Knowledge☆62Updated last year
- Fine-grained Post-training for Improving Retrieval-based Dialogue Systems - NAACL 2021☆96Updated 3 years ago
- Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"☆237Updated last year
- The Few-Shot Bot: Prompt-Based Learning for Dialogue Systems☆119Updated 3 years ago
- Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)☆159Updated last year
- A Paper List for Open-Domain Dialogue Generation, and related datasets.☆204Updated 4 years ago
- Dialogue State Tracking (DST) Papers, Datasets, Resources 🤩☆185Updated last year
- EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"☆339Updated 4 months ago
- ☆53Updated last year
- ☆32Updated 2 years ago
- Source code for Dialogue State Tracking with a Language Model using Schema-Driven Prompting☆63Updated 4 months ago
- Dialogue model that produces empathetic responses when trained on the EmpatheticDialogues dataset.☆478Updated 3 years ago
- MoEL: Mixture of Empathetic Listeners☆73Updated 7 months ago
- A simple approach to use GPT2-medium (345M) for generating high quality text summaries with minimal training.☆156Updated 2 years ago
- A crowdsourced dataset of dialogues grounded in social contexts involving utilization of commonsense.☆78Updated 3 years ago
- Official Implementation of "DialogLM: Pre-trained Model for Long Dialogue Understanding and Summarization."☆139Updated 2 years ago
- Generating responses with pretrained XLNet and GPT-2 in PyTorch.☆118Updated 2 years ago
- ☆108Updated last month
- DSTC9 Track 1 - Beyond Domain APIs: Task-oriented Conversational Modeling with Unstructured Knowledge Access☆105Updated last year
- DSTC 11 Track 2: Intent Induction from Conversations for Task-Oriented Dialogue☆47Updated last year
- ☆176Updated 3 years ago
- Source codes for the paper "Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization"☆91Updated last year
- DialogSum: A Real-life Scenario Dialogue Summarization Dataset - Findings of ACL 2021☆176Updated 3 months ago
- Few-shot Natural Language Generation for Task-Oriented Dialog☆189Updated 2 years ago
- The Adapter-Bot: All-In-One Controllable Conversational Model☆36Updated 3 years ago
- We use bert model to fine-tune dialogue task.☆22Updated 5 years ago