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
Most implemented papers
CASS: Towards Building a Social-Support Chatbot for Online Health Community
Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they can only respond to a limited number of pre-defined inputs with pre-scripted responses; or 2) they are designed with a focus on single-user scenarios, thus it is unclear how these systems may affect other users or the community.
Few-Shot Bot: Prompt-Based Learning for Dialogue Systems
A simple yet unexplored solution is prompt-based few-shot learning (Brown et al. 2020) which does not require gradient-based fine-tuning but instead uses a few examples in the LM context as the only source of learning.
Automatic Evaluation and Moderation of Open-domain Dialogue Systems
lfdharo/DSTC10_Track5_Toxicity
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The development of Open-Domain Dialogue Systems (ODS)is a trending topic due to the large number of research challenges, large societal and business impact, and advances in the underlying technology.
CHAI: A CHatbot AI for Task-Oriented Dialogue with Offline Reinforcement Learning
siddharthverma314/chai-naacl-2022
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NAACL 2022
Conventionally, generation of natural language for dialogue agents may be viewed as a statistical learning problem: determine the patterns in human-provided data and generate appropriate responses with similar statistical properties.
Task-Optimized Adapters for an End-to-End Task-Oriented Dialogue System
As results of the experiment, our method shows competitive performance on the MultiWOZ benchmark compared to the existing end-to-end models.
h2oGPT: Democratizing Large Language Models
Applications built on top of Large Language Models (LLMs) such as GPT-4 represent a revolution in AI due to their human-level capabilities in natural language processing.
Three Ways of Using Large Language Models to Evaluate Chat
This paper describes the systems submitted by team6 for ChatEval, the DSTC 11 Track 4 competition.
DeepSeek-VL: Towards Real-World Vision-Language Understanding
The DeepSeek-VL family (both 1. 3B and 7B models) showcases superior user experiences as a vision-language chatbot in real-world applications, achieving state-of-the-art or competitive performance across a wide range of visual-language benchmarks at the same model size while maintaining robust performance on language-centric benchmarks.
Chatbot for admissions
The communication of potential students with a university department is performed manually and it is a very time consuming procedure.
Assigning personality/identity to a chatting machine for coherent conversation generation
Endowing a chatbot with personality or an identity is quite challenging but critical to deliver more realistic and natural conversations.
