Chatbot
181 papers with code • 1 benchmarks • 11 datasets
Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.
Source: Open Data Chatbot
Benchmarks
These leaderboards are used to track progress in Chatbot
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Libraries
Use these libraries to find Chatbot models and implementationsDatasets
AlpacaEval
Blended Skill Talk
Taiga Corpus
Most implemented papers
Don't Forget Your ABC's: Evaluating the State-of-the-Art in Chat-Oriented Dialogue Systems
Our method is used to evaluate four state-of-the-art open-domain dialogue systems and compared with existing approaches.
LMSYS-Chat-1M: A Large-Scale Real-World LLM Conversation Dataset
lm-sys/fastchat
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Studying how people interact with large language models (LLMs) in real-world scenarios is increasingly important due to their widespread use in various applications.
Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference
lm-sys/fastchat
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To address this issue, we introduce Chatbot Arena, an open platform for evaluating LLMs based on human preferences.
RLHF Workflow: From Reward Modeling to Online RLHF
RLHFlow/RLHF-Reward-Modeling
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We present the workflow of Online Iterative Reinforcement Learning from Human Feedback (RLHF) in this technical report, which is widely reported to outperform its offline counterpart by a large margin in the recent large language model (LLM) literature.
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
Human generates responses relying on semantic and functional dependencies, including coreference relation, among dialogue elements and their context.
CAiRE: An Empathetic Neural Chatbot
In this paper, we present an end-to-end empathetic conversation agent CAiRE.
Topic-aware chatbot using Recurrent Neural Networks and Nonnegative Matrix Factorization
HanbaekLyu/RNN_NMF_chatbot
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We propose a novel model for a topic-aware chatbot by combining the traditional Recurrent Neural Network (RNN) encoder-decoder model with a topic attention layer based on Nonnegative Matrix Factorization (NMF).
Towards a Human-like Open-Domain Chatbot
We present Meena, a multi-turn open-domain chatbot trained end-to-end on data mined and filtered from public domain social media conversations.
Asking Questions the Human Way: Scalable Question-Answer Generation from Text Corpus
bangliu/ACS-QG
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In this paper, we propose Answer-Clue-Style-aware Question Generation (ACS-QG), which aims at automatically generating high-quality and diverse question-answer pairs from unlabeled text corpus at scale by imitating the way a human asks questions.
HHH: An Online Medical Chatbot System based on Knowledge Graph and Hierarchical Bi-Directional Attention
14H034160212/HHH-An-Online-Question-Answering-System-for-Medical-Questions
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Proceedings of the Australasian Computer Science Week Multi-conference (ACSW 2020) 2020
This paper proposes a chatbot framework that adopts a hybrid model which consists of a knowledge graph and a text similarity model.
