[2023/02] Large Language Models Can Be Easily Distracted by Irrelevant Context [2023/02] On the Robustness of ChatGPT: An Adversarial and Out-of-Distribution Perspective [2023/02] Adversarial Example Does Good: Preventing Painting Imitation From Diffusion Models via Adversarial Examples [2023/...
Large Language Models Can Be Easily Distracted by Irrelevant ContextFreda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed H. Chi, Nathanael Schärli, Denny Zhou[paper]2023.2 HistAlign: Improving Context Dependency in Language Generation by Aligning with HistoryDavid Wan, Shiyue Zh...
interpret and generate human language content7. Recently, great breakthroughs have been achieved regarding generative artificial intelligence (GAI) based on large-language models (LLMs)8,9, especially generative pre-trained transformer (GPT) and its updates10,11....
However, existing fuzzers for such systems often target a specific language, and thus cannot be easily applied to other languages or even other versions of the same language. Moreover, the inputs generated by existing fuzzers are often limited to specific features of the input language, and ...
a robot should take, they are still limited only to guessing when placed in unfamiliar environments. Therefore, although we use ungrounded language-only models in our evaluation, we expect that our method could be combined with vision-language models easily, and would provide complementary benefits....
(4)Whatcanbethebesttitleofthetext?DA.UsingAImodelsforscienceB.KeepingLLMgrowingC.SolvingscientificproblemsD.LookingintotheMoon 相关知识点: 试题来源: 解析 (1)细节理解题。根据第一段Theworld'sfirstlargelanguagemodel(LLM)formoonstudyiscoming!Itmakesstudyingthemoonmuchfasterandeasierthanbefore. (世界上...
Compared with supervised training, ICL is a training-free learning framework. This not only greatly reduces the computation costs for adapting the model to new tasks, but also makes language-model-as-service possible and can be easily applied to large-scale real-world tasks. ...
LLMs provide information in an easily understandable, conversational style, enhancing user comprehension and engagement. Wide Range of Applications: These models are versatile, used for language translation, sentiment analysis, question answering, and more, demonstrating their broad utility. ...
Train Large Language Models Quickly and Easily on Intel® Processors Our Approach Training Your Custom Chatbot Results Summary Get the Latest on All Things CODE Sign Up Haihao Shen, AI Software Architect Xinyu Ye, AI Software Engineer Kaokao Lv, AI Software Engineer Xuhui Ren, A...
Large Language Models Can Be Easily Distracted by Irrelevant Context Freda Shi, Xinyun Chen, Kanishka Misra, Nathan Scales, David Dohan, Ed Chi, Nathanael Schärli, Denny Zhou ICML 2023 - Jan 2023 [Paper][Github] Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks Akari Asai,...