Question Paper Pattern and Marking Scheme for 10th English Board Examination The latest question pattern for 10th Board examination for the subject of English is as follows PartTypes of QuestionsMarksNo. of Questions to be AnsweredTotal Marks Part 1Synonyms, Antonyms, Plural form. Affixes, Abbreviati...
Python 162 Apache-2.0 5 1 0 Updated Oct 25, 2024 Inf-CLIP Public The official CLIP training codebase of Inf-CL: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme. Python 125 Apache-2.0 6 1 0 Updated ...
One of the fundamental questions about human language is whether all languages are equally complex. Here, we approach this question from an information-theoretic perspective. We present a large scale quantitative cross-linguistic analysis of written lang
1–22 Published on 21 October 2019 Theme | Erasure of the Subject: Postmodern Reflections Abstract | The paper focuses on initiating a conversation on the “question of the subject,” beyond the strict contraposition of autonomy and non autonomy. The discussion begins by providing a brief ...
Automated Story Generation as Question-Answering. Louis Castricato, Spencer Frazier, Jonathan Balloch, Nitya Tarakad, Mark Riedl. [pdf] AAAI 2022 DCT: Dynamic Compressive Transformer for Modeling Unbounded Sequence. Kai-Po Chang, Wei-Yun Ma. [pdf] arxiv 2021 Hierarchical Transformers Are More Eff...
thequestion. •NB:Considerparagraphstructure:Usually informationisatthestart;explanationand descriptioninthemiddleanddevelopmentofthe ideasattheend. JonathanPeelSGS2013 SectionA:Q3SectionA:Q3 •Therewillbebulletpoints–usethemtostructureyour response.Makeiteasyfortheexaminer. •Themarkschemegivesexaminers...
Although the results presented in this paper are only on a research benchmark, if we extrapolate forward the capabilities of these models and methods, we anticipate vast broader impacts that have the potential to revolutionize numerous industries. By allowing LLMs to execute tasks on computers, our...
DiVeRSe has three main components: first, it generates diverse prompts to explore different reasoning paths for the same question; second, it uses a verifier to filter out incorrect answers based on a weighted voting scheme; and third, it verifies each reasoning step individually instead of the ...
[arxiv] An Enhanced Prompt-Based LLM Reasoning Scheme via Knowledge Graph-Integrated Collaboration.2024.02 [arxiv] SPARQL Generation: an analysis on fine-tuning OpenLLaMA for Question Answering over a Life Science Knowledge Graph.2024.02 [arxiv] Interplay of Semantic Communication and Knowledge Learning...
Protein representations from deep language models have yielded state-of-the-art performance across many tasks in computational protein engineering. In recent years, progress has primarily focused on parameter count, with recent models’ capacities surpas