Paper tables with annotated results for From Insights to Actions: The Impact of Interpretability and Analysis Research on NLP
In this paper, you will go through the foundations of NLP - as it states in the title, it is ALMOST from scratch. Topics include Named Entity Recognition, Semantic role labeling, networks, training, and more. Understanding LSTM Networksby Christopher Olah, 2015 Neural Networks are a major par...
This paper established a textual emotion recognition model incorporating personality in it. The paper defined a series of basic emotion reasoning rules and revised it to user's emotion reasoning rules on the basis of personality model. The basic emotion reasoning rules in the paper were built ...
the paper. This means you should include hyperparameters and any tricks that were used in the process of getting your results. To maximize usefulness, ideally this code should be written with extensibility in mind: what if your user wants to use the same training script on their own dataset?
Building on MM1’s success, Apple’s new paper, MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning, introduces an improved model family aimed at enhancing capabilities in text-rich image understanding, visual grounding, and multi-image reasoning.2024...
Cloud computing is increasingly being regarded as a key enabler of the 'democratization of science', because on-demand, highly scalable cloud computing facilities enable researchers anywhere to carry out data-intensive experiments. In the context of natural language processing (NLP), algorithms tend to...
papermage ⚠️This project is a research prototype for EMNLP 2023. Due to other project priorities, we are unlikely to be addressing issues / maintaining this on a regular cadence. We are working on related scientific PDF parsing functionality under theDolmaproject banner, so please keep an ...
(B), we expand the text on which we are operating to a passage consisting of three sentences: the paper’stitle, the sentenceprecedingthe positively classified sentence from the previous prompt, and thepositive sentenceitself. This expansion is primarily useful for making sure we include text ...
Also, they oftentimes focus less on smaller transformer models that have already been heavily compressed via knowledge distillation and lack a systematic study to show the effectiveness of their methods. In this paper, we perform a very comprehensive systematic st...
In recent years, large-scale pre-trained language models have been shown to have better ability to recall knowledge exposed in pre-trained corpora. But existing knowledge probe works, such as LAMA, only focus on evaluating the overall accuracy of knowledge predictions. This paper attempts to condu...