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Found 6 papers, 0 papers with code
Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM
In conversational AI research, there's a noticeable trend towards developing models with a larger number of parameters, exemplified by models like ChatGPT.
Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting
The application of machine learning models to financial time series comes with several challenges, including the difficulty in cross-sequence reasoning and inference, the hurdle of incorporating multi-modal signals from historical news, financial knowledge graphs, etc., and the issue of interpreting and explaining the model results.
The Chai Platform's AI Safety Framework
Chai empowers users to create and interact with customized chatbots, offering unique and engaging experiences.
Safer Conversational AI as a Source of User Delight
This work explores the impact of moderation on users' enjoyment of conversational AI systems.
Rewarding Chatbots for Real-World Engagement with Millions of Users
The proposed approach uses automatic pseudo-labels collected from user interactions to train a reward model that can be used to reject low-scoring sample responses generated by the chatbot model at inference time.
Detection of Audio-Video Synchronization Errors Via Event Detection
A deep network is trained to detect the visual signature of the tennis ball being hit by the racquet in the video stream.
