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National University of Singapore
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The github repository for the paper: Retrieval Augmented Instruction Tuning for Open NER with Large Language Models.
[EMNLP'24] 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
lichuangnus / UNO-DST
Forked from xiaowudeshen/UNOOfficial 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"
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
[EMNLP'23] 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"