Chatbot
168 papers with code • 0 benchmarks • 8 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
Libraries
Use these libraries to find Chatbot models and implementationsDatasets
Blended Skill Talk
Taiga Corpus
Latest papers with no code
Interpretable User Satisfaction Estimation for Conversational Systems with Large Language Models
Accurate and interpretable user satisfaction estimation (USE) is critical for understanding, evaluating, and continuously improving conversational systems.
ClimateQ&A: Bridging the gap between climate scientists and the general public
This research paper investigates public views on climate change and biodiversity loss by analyzing questions asked to the ClimateQ&A platform.
Regulating Chatbot Output via Inter-Informational Competition
In fact, a trove of empirical evidence has demonstrated that market competition among information outlets can effectively mitigate most risks and that overreliance on regulation is not only unnecessary but detrimental, as well.
Large language model-powered chatbots for internationalizing student support in higher education
This research explores the integration of chatbot technology powered by GPT-3. 5 and GPT-4 Turbo into higher education to enhance internationalization and leverage digital transformation.
AI on AI: Exploring the Utility of GPT as an Expert Annotator of AI Publications
Identifying scientific publications that are within a dynamic field of research often requires costly annotation by subject-matter experts.
CuentosIE: can a chatbot about "tales with a message" help to teach emotional intelligence?
In this article, we present CuentosIE (TalesEI: chatbot of tales with a message to develop Emotional Intelligence), an educational chatbot on emotions that also provides teachers and psychologists with a tool to monitor their students/patients through indicators and data compiled by CuentosIE.
ALTO: An Efficient Network Orchestrator for Compound AI Systems
We present ALTO, a network orchestrator for efficiently serving compound AI systems such as pipelines of language models.
Explaining Genetic Programming Trees using Large Language Models
In this research, we investigate the potential of leveraging eXplainable AI (XAI) and large language models (LLMs) like ChatGPT to improve the interpretability of GP-based non-linear dimensionality reduction.
A General and Flexible Multi-concept Parsing Framework for Multilingual Semantic Matching
Although DC-Match is a simple yet effective method for semantic matching, it highly depends on the external NER techniques to identify the keywords of sentences, which limits the performance of semantic matching for minor languages since satisfactory NER tools are usually hard to obtain.
Breeze-7B Technical Report
Breeze-7B is an open-source language model based on Mistral-7B, designed to address the need for improved language comprehension and chatbot-oriented capabilities in Traditional Chinese.
