SOTAVerified

Chatbot

Chatbot or conversational AI is a language model designed and implemented to have conversations with humans.

Source: Open Data Chatbot

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Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 426–450 of 971 papers

TitleStatusHype
Exploring the Effect of Robotic Embodiment and Empathetic Tone of LLMs on Empathy Elicitation—0
EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven Agents—0
"EHLO WORLD" -- Checking If Your Conversational AI Knows Right from Wrong—0
Exploring the Potential of Conversational AI Support for Agent-Based Social Simulation Model Design—0
Exploring the Role of AI-Powered Chatbots for Teens and Young Adults with ASD or Social Anxiety—0
Arabic Dialogue Act Recognition for Textual Chatbot Systems—0
Efficient Learning Content Retrieval with Knowledge Injection—0
Fair Transfer of Multiple Style Attributes in Text—0
Efficient Finetuning Large Language Models For Vietnamese Chatbot—0
FaMTEB: Massive Text Embedding Benchmark in Persian Language—0
Farmer.Chat: Scaling AI-Powered Agricultural Services for Smallholder Farmers—0
FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation—0
FedBot: Enhancing Privacy in Chatbots with Federated Learning—0
AI Chatbot for Generating Episodic Future Thinking (EFT) Cue Texts for Health—0
Efficient Deployment of Conversational Natural Language Interfaces over Databases—0
Effective Social Chatbot Strategies for Increasing User Initiative—0
Cases of EFL Secondary Students' Prompt Engineering Pathways to Complete a Writing Task with ChatGPT—0
EduPal leaves no professor behind: Supporting faculty via a peer-powered recommender system—0
First-Person Fairness in Chatbots—0
CARE: A QLoRA-Fine Tuned Multi-Domain Chatbot With Fast Learning On Minimal Hardware—0
FitChat: Conversational Artificial Intelligence Interventions for Encouraging Physical Activity in Older Adults—0
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG—0
Fostering User Engagement in the Critical Reflection of Arguments—0
From Chat Logs to Collective Insights: Aggregative Question Answering—0
A Proposal for Evaluating the Operational Risk for ChatBots based on Large Language Models—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Yi 34B ChatAverage win rate27.2—Unverified