GenAI Lab at SUSTech built by Linyi Yang.
We introduce a novel fine-grained causal reasoning dataset and present a series of novel tasks in NLP, from causality detection to event causality extraction and Causal QA. Our dataset contains human annotations of 25K cause-effect event pairs and 24K question-answering pairs within multi-sentence samples.
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
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We leverage 14 datasets as OOD test data and conduct evaluations on 8 NLU tasks over 21 popularly used models. Our findings confirm that the OOD accuracy in NLP tasks needs to be paid more attention to since the significant performance decay compared to ID accuracy has been found in all settings.
Four easy to use baselines for NLP research
Code for WWW-20 Paper: HTML: Hierarchical Transformer-based Multi-task Learning for Volatility Prediction
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
Repository for ICLR 2024 Paper: Supervised Knowledge Makes Large Language Models Better In-context Learners. We offer a comprehensive suite of resources, including 16 curated datasets, prompts, model checkpoints, and LLM outputs across 9 distinct tasks.
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
Code for AICS paper: "Multi-level Attention-Based Neural Networks for Distant Supervised Relation Extraction"
OpenR: An Open Source Framework for Advanced Reasoning with Large Language Models
Personality Alignment of Language Models
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
LLM training in simple, raw C/CUDA
Repository for COLING-20 Paper: Generating Plausible Counterfactual Explanations for Deep Transformers in Financial Text Classification
📝 The website builder for Hugo. Build and deploy a beautiful website in minutes!
The earnings conference call dataset of S&P 500 companies
Code for ACL-2023 paper "Measuring Consistency in Text-based Financial Forecasting Models"
Leveraging BERT to Improve the FEARS Index for Stock Forecasting
This repo aims to provide an easy-to-use and robust benchmark to a broad range of NLP tasks for evaluating XAI methods.
Code for COLING 2022 paper "FactMix: Using a Few Labeled In-domain Examples to Generalize to Cross-domain Named Entity Recognition"
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
资产配置方案项目
Applying Deep Learning and NLP in Quantitative Trading
Implementation for ACL 2022 paper: A Rationale-Centric Framework For Human-in-the-loop Machine Learning.
Code and Data for ACL-21 paper: "Exploring the Efficacy of Automatically Generated Counterfactuals for Sentiment Analysis"
Repository for CIKM 2020 resource track paper: MAEC: A Multimodal Aligned Earnings Conference Call Dataset for Financial Risk Prediction
A simple tutorial for using the grid search to find the optimal hyper-parameters