Recent submissions

Comment · 3 years ago
Where did I express any distaste for actually descriptive terms like "bourgeoisie"? Only on the Internet is purposefully misconstruing someone's statement seen as a valid method of communication.
Comment · 3 years ago
Not sure how your comment makes it any less strange to call these people "elite".
Comment · 3 years ago
The "elites"? That's a funny term for people who own commercial real estate.
Comment · 3 years ago
Comment · 3 years ago
From the article: "This work studies the safety of such models in a more systematic fashion. We demonstrate that it is in fact possible to automatically construct adversarial attacks on LLMs, specifically chosen sequences of characters that, when appended to a user query, will cause the system to obey user commands even if it produces harmful content. Unlike traditional jailbreaks, these are built in an entirely automated fashion, allowing one to create a virtually unlimited number of such attacks."
Comment · 3 years ago
Abstract: The emergence of pretrained large language models has led to the deployment of a range of social chatbots for chitchat. Although these chatbots demonstrate language ability and fluency, they are not guaranteed to be engaging and can struggle to retain users. This work investigates the development of social chatbots that prioritize user engagement to enhance retention, specifically examining the use of human feedback to efficiently develop highly engaging chatbots. 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. Intuitive evaluation metrics, such as mean conversation length (MCL), are introduced as proxies to measure the level of engagement of deployed chatbots. A/B testing on groups of 10,000 new daily chatbot users on the Chai Research platform shows that this approach increases the MCL by up to 70%, which translates to a more than 30% increase in user retention for a GPT-J 6B model. Future work aims to use the reward model to realise a data fly-wheel, where the latest user conversations can be used to alternately fine-tune the language model and the reward model.
Comment · 3 years ago
Comment · 3 years ago
If we're gonna post every time an llm gets something wrong, there will be a lot of useless posts on this website.
Comment · 3 years ago
> Notably, Microsoft closed the annual poll called "Employee Signals" before announcing it would pause raises and cut bonuses and stock awards this year, a decision some employees have criticized in questions to company leaders viewed by Insider.
Comment · 3 years ago
Mind2Web is a dataset for developing and evaluating generalist agents for the web that can follow language instructions to complete complex tasks on any website.

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