Large Language Model
Segment Anything in High Quality
Despite being trained with 1.1 billion masks, SAM's mask prediction
AI researcher says 'world is in peril' and quits to study poetry
AI researcher says'world is in peril' and quits to study poetry An AI safety researcher has quit US firm Anthropic with a cryptic warning that the world is in peril. In his resignation letter shared on X, Mrinank Sharma told the firm he was leaving amid concerns about AI, bioweapons and the state of the wider world. He said he would instead look to pursue writing and studying poetry, and move back to the UK to become invisible. It comes in the same week that a OpenAI researcher said she had resigned, sharing concerns about the ChatGPT maker's decision to deploy adverts in its chatbot . Anthropic, best known for its Claude chatbot, had released a series of commercials aimed at OpenAI, criticising the company's move to include adverts for some users.
Statistical Knowledge Assessment for Large Language Models
In this paper, we study the problem of quantifying knowledge contained in an LLM regarding a given set of facts.
Exploiting LLM Quantization
While LLM quantization's impact on utility has been extensively explored, this work for the first time studies its adverse effects from a security perspective.
Supplementary for Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
Xiaoqian Wu Shanghai Jiao Tong University enlighten@sjtu.edu.cn In Tab. 1, we conclude the notations in this work for clarity.Notation Definition r A rule. The size of the premise symbols set M . S is the symbol set, and R is the rule set. A \ B The set difference of A and B. D A very large-scale activity images database.
Symbol-LLM: Leverage Language Models for Symbolic System in Visual Human Activity Reasoning
Human reasoning can be understood as a cooperation between the intuitive, associative "System-1" and the deliberative, logical "System-2".
