[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
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Updated
Jul 4, 2024
[ACL 2024] A Survey of Chain of Thought Reasoning: Advances, Frontiers and Future
Resources of deep learning for mathematical reasoning (DL4MATH).
DO NOT pull requests
Implementation of the LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens Paper
A PyTorch-based open-source framework that provides methods for improving the weakly annotated data and allows researchers to efficiently develop and compare their own methods.
Natural Language Processing (NLP). Covering topics such as Tokenization, Part Of Speech tagging (POS), Machine translation, Named Entity Recognition (NER), Classification, and Sentiment analysis.
Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach
Common stop words in a variety of languages
Revolutionary Deep Learning Models - All Implemented In PyTorch
Analyzing Google Play Store reviews of the Indonesian streaming platform Vidio through topic modeling with the assistance of GPT.
Notebooks Python da parte prática da disciplina "CIC0193 - Fundamentos de Sistemas Inteligentes" do Departamento de Ciência da Computação da Universidade de Brasília.
This repository contains the code for the paper "Sentiment-driven statistical causality in multimodal systems", by Ioannis Chalkiadakis, Anna Zaremba, Gareth W. Peters and Michael J. Chantler.
Papers in the field of Open Domain, Personalized Conversational AI.
Experimental Research and Development in Software and Mechanical Engineering for Artificial Intelligence, Robotics, and Design
The official repository for the paper "Paraphrase Detection: Human vs. Machine Content".
DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
This tools helps Software and AI services companies send cold emails to their potential clients.
인공지능 연합 동아리 Tobigs | 스터디 | 📚 10주 정규 세션
HPC research toolkit infrastructure for interfacing & analyzing LLMs (Kit is composed of: API gateway service, GPU scheduler, model servicer, web interface)
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