Psychoethics links self-defeating speech acts to impaired moral reasoning and decision-making. Perfectionistic "oughts" can cloud moral judgments despite lack of ethical breaches.
Putting humans and LLMs head-to-head in classic tests of judgment from human psychology underscores the differences between ...
Abstract: Hierarchical text classification (HTC) aims to assign each document to a path of labels in a predefined taxonomy, reflecting both high-level semantic categories and fine-grained subtopics.
According to OpenAI (@OpenAI), OpenAI has released GPT-OSS-Safeguard in research preview, introducing two open-weight reasoning models specifically designed for safety classification tasks. These AI ...
Enterprises, eager to ensure any AI models they use adhere to safety and safe-use policies, fine-tune LLMs so they do not respond to unwanted queries. However, much of the safeguarding and red teaming ...
Large language models have made impressive strides in mathematical reasoning by extending their Chain-of-Thought (CoT) processes—essentially “thinking longer” through more detailed reasoning steps.
Singapore-based AI startup Sapient Intelligence has developed a new AI architecture that can match, and in some cases vastly outperform, large language models (LLMs) on complex reasoning tasks, all ...
If this contrastive classification loss is implemented, could you please point me to the exact file and location where it is defined? If not, I’d appreciate it if this could be added in a future ...
Our training pipeline is adapted from verl and rllm(DeepScaleR). The installation commands that we verified as viable are as follows: conda create -y -n rlvr_train ...
A new company, Deep Cogito, has emerged from stealth with a family of openly available AI models that can be switched between “reasoning” and non-reasoning modes. Reasoning models like OpenAI’s o1 ...
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