Transformer Architectures Comparison in Natural Language Generation Tasks
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Updated
Jun 1, 2024 - Python
Transformer Architectures Comparison in Natural Language Generation Tasks
Code and data for "Instruct Once, Chat Consistently in Multiple Rounds: An Efficient Tuning Framework for Dialogue" (ACL 2024)
Examples for OpenAI and langchain using Python
Code to address Natural Language Generation Tasks via Transformer Architecture
[COLING 2024] TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation
Scheduled Sampling for Transformers
Code and data for "Target-constrained Bidirectional Planning for Generation of Target-oriented Proactive Dialogue" (ACM TOIS)
A modular RL library to fine-tune language models to human preferences
The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"
Code to address Natural Language Generation Tasks via Sequence to Sequence Architecture with Attention Mechanism
🥤🧑🏻🚀Code and dataset for our EMNLP 2023 paper - "SODA: Million-scale Dialogue Distillation with Social Commonsense Contextualization"
Code to address Natural Language Generation Tasks with Sequence to Sequence Architecture
Codebase for the ACL 2023 paper: White-Box Multi-Objective Adversarial Attack on Dialogue Generation.
Conversational AI tooling & personas built on Cohere's LLMs
Follow Me: Conversation Planning for Target-driven Recommendation Dialogue Systems
The PyTorch implementation of ReCoSa(the Relevant Contexts with Self-attention) for dialogue generation using the multi-head attention and GRU.
MEDIQA-Chat Shared Tasks @ ACL-ClinicalNLP 2023
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
Source code for the paper "Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering".
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