The github repository for the paper: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.

Code and data for paper "Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level"

This is the github repository for the paper at NAACL 2024: Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models.

NAACL 2024: SeaEval for Multilingual Foundation Models: From Cross-Lingual Alignment to Cultural Reasoning

LLM Finetuning with peft

Awesome-LLM: a curated list of Large Language Model

The code for paper:Joint Visual and Text Prompting for Improved Object-Centric Perception with Multimodal Large Language Models

Official Repo for Project UNO-DST: Leveraging Unlabelled Data in Zero-shot Dialogue State Tracking

TEaR framework for paper "TEaR: Improving LLM-based Machine Translation with Systematic Self-Refinement"

This is the official repo of DCR. The code is coming soon.

PyTorch implementation of RCG https://arxiv.org/abs/2312.03701

This is the github repository for the paper at EMNLP 2023: Empirical Study of Zero-Shot NER with ChatGPT.

Repository containing the website for the EMNLP 2023 conference

SR benchmark for paper "How Well Do Text Embedding Models Understand Syntax?"

[ICLR 2024] Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Code and data for "MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning" (ICLR 2024)

The Official Repository for the Automatic Dialogue Evaluation Sub-task of DSTC10 Track 5 (Automatic Evaluation and Moderation of Open-domain Dialogue Systems)

Code Repository For ACL2021 Paper - DynaEval: Unifying Turn and Dialogue Level Evaluation

Paper: Relational Sentence Embedding for Flexible Semantic Matching

[ICCV2021]"DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network", https://arxiv.org/abs/2207.10434

[ECCV2022] "Unsupervised Night Image Enhancement: When Layer Decomposition Meets Light-Effects Suppression", https://arxiv.org/abs/2207.10564

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Official implementaion of EMNLP 2022 paper "Generate, Discriminate, and Contrast: A Semi-Supervised Sentence Representation Learning Framework"