sungjinl Goto Github PK

lm-bff

ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models

megatron-lm

Ongoing research training transformer models at scale

modularqa

Code for ModularQA

moml

Source Code of "Multi-Objective Meta Learning" [NeurIPS 2021]

naturalcc

NaturalCC: An Open-Source Toolkit for Code Intelligence

neural_chat

Code to support training, evaluating and interacting neural network dialog models, and training them with reinforcement learning. Code to deploy a web server which hosts the models live online is available at: https://github.com/asmadotgh/neural_chat_web

nliwod

Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.

nlprolog

Neural Logic Reasoning for Question Answering

ns-dial

An Interpretable Neuro-Symbolic Framework for Task-Oriented Dialogue Generation

opencsr

Code Repo for "Differentiable Open-Ended Commonsense Reasoning" (NAACL 2021)

py-trindikit

Python implementation of the TrindiKit dialogue toolkit

rationale-alignment

re-t5

Code and data for "Retrieval Enhanced Model for Commonsense Generation" (ACL-IJCNLP 2021).

reagent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

score

ICLR 2021: Pre-Training for Context Representation in Conversational Semantic Parsing

start_lab

stocbio

Example code for paper "Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms"

strategyqa

The official code of TACL 2021, "Did Aristotle Use a Laptop? A Question Answering Benchmark with Implicit Reasoning Strategies".

sungjinl.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

t-few

Code for T-Few from "Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than In-Context Learning"

task_oriented_dialogue_as_dataflow_synthesis

Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).

tk-instruct

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

trans-encoder

Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

unas

Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral

zero-shot-multiwoz-acl2020

Artifact associated with the paper "Zero-Shot Transfer Learning with Synthesized Data for Multi-Domain Dialogue State Tracking"