yxuansu

PandaGPT

[TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

SimCTG

[NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

OpenAlpaca

OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

MAGIC

Language Models Can See: Plugging Visual Controls in Text Generation

Contrastive_Search_Is_What_You_Need

[TMLR'23] Contrastive Search Is What You Need For Neural Text Generation

TaCL

[NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

PlanGen

[EMNLP'21] Plan-then-Generate: Controlled Data-to-Text Generation via Planning

NAG-BERT

[EACL'21] Non-Autoregressive with Pretrained Language Model

Chinese-TaCL-BERT-NER-CWS

基于中文TaCL-BERT的中文命名实体识别及中文分词

Contrastive_Search_versus_Contrastive_Decoding

An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation

HCL

[ACL'21] Dialogue Response Selection with Hierarchical Curriculum Learning

Awesome_Diffusions

Paper_List_of_LLMs_as_Agent_and_Tool_Use

yxuansu.github.io

My personal webpage

Contrastive-Learning-NLP-Papers

Paper List for Contrastive Learning for Natural Language Processing

open_llama

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

blog

Public repo for HF blog posts

cambridge_thesis

A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

ceval

Official github repo for C-Eval, a Chinese evaluation suite for foundation models

evaluating-verifiability-in-generative-search-engines

Companion repo for "Evaluating Verifiability in Generative Search Engines".

jcyk.github.io

my personal website

LM_News

MiniGPT-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

pangpang.github.io

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

pptod

Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System (ACL 2022)

SimCSE

EMNLP'2021: SimCSE: Simple Contrastive Learning of Sentence Embeddings

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

TargetCLIP

Official PyTorch implementation of the paper Image-Based CLIP-Guided Essence Transfer.

yxuansu