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adversarial-learning-for-neural-dialogue-generation-in-tensorflow

Adversarial-Learning-for-Neural-Dialogue-Generation-in-Tensorflow

dgk_lost_conv

dgk_lost_conv 中文对白语料 chinese conversation corpus

eddi

Code for paper EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

google-research

Google Research

llmtest_needleinahaystack

Doing simple retrieval from LLM models at various context lengths to measure accuracy

medical_ds

medqa

A Chinese Medical Question Answering corpus

memn2n-babi-python

End-To-End Memory Networks for bAbI question-answering tasks

multiturnresponseselection

This repo contains our ACL paper data and source code

neural-dialogue-generation

neuraldialogpapers

Summary of deep learning models for dialog systems

never-lost-in-the-middle

Repo for ACL 2024 paper: Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training

nndial

NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

pickle2txt

Automatically exported from code.google.com/p/pickle2txt

records-research

state-tracker

project for DST

tf-char-cnn-lstm

A Tensorflow version of Yoon Kim's char-cnn-lstm

tool-augmented-papers

webmedqa

A Chinese medical question answering dataset

word2vecpy

Python implementation of CBOW and skip-gram word vector models, and hierarchical softmax and negative sampling learning algorithms