Search Results for author:
Found 7 papers, 2 papers with code
Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT
Moreover, we introduce the publicly available Bangla Authorship Attribution Dataset of 16 authors (BAAD16) containing 17, 966 sample texts and 13. 4+ million words to solve the standard dataset scarcity problem and release six variations of pre-trained language models for use in any Bangla NLP downstream task.
A Study on Large Language Models' Limitations in Multiple-Choice Question Answering
The widespread adoption of Large Language Models (LLMs) has become commonplace, particularly with the emergence of open-source models.
Reliability Check: An Analysis of GPT-3's Response to Sensitive Topics and Prompt Wording
Large language models (LLMs) have become mainstream technology with their versatile use cases and impressive performance.
Bits of Grass: Does GPT already know how to write like Whitman?
This study examines the ability of GPT-3. 5, GPT-3. 5-turbo (ChatGPT) and GPT-4 models to generate poems in the style of specific authors using zero-shot and many-shot prompts (which use the maximum context length of 8192 tokens).
Authorship Attribution in Bangla literature using Character-level CNN
Characters are the smallest unit of text that can extract stylometric signals to determine the author of a text.
A Continuous Space Neural Language Model for Bengali Language
Language models are generally employed to estimate the probability distribution of various linguistic units, making them one of the fundamental parts of natural language processing.
A Subword Level Language Model for Bangla Language
Language models are at the core of natural language processing.
