Natural Language Processing
Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research heavily emphasizes large language models (LLMs), exploring their capabilities in various tasks like question answering, text classification, and translation, while also addressing challenges such as bias, efficiency, and the need for better evaluation metrics. The field's significance lies in its potential to revolutionize numerous applications, from improving healthcare and education to enhancing information access and facilitating more effective human-computer interaction.
Papers
Exploring transfer learning for Deep NLP systems on rarely annotated languages
Dipendra Yadav, Tobias Strauß, Kristina Yordanova
TopoLM: brain-like spatio-functional organization in a topographic language model
Neil Rathi, Johannes Mehrer, Badr AlKhamissi, Taha Binhuraib, Nicholas M. Blauch, Martin Schrimpf
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
Sahar Iravani, Tim .O .F Conrad
SHAKTI: A 2.5 Billion Parameter Small Language Model Optimized for Edge AI and Low-Resource Environments
Syed Abdul Gaffar Shakhadri, Kruthika KR, Rakshit Aralimatti
Effective Self-Mining of In-Context Examples for Unsupervised Machine Translation with LLMs
Abdellah El Mekki, Muhammad Abdul-Mageed
SeedLM: Compressing LLM Weights into Seeds of Pseudo-Random Generators
Rasoul Shafipour, David Harrison, Maxwell Horton, Jeffrey Marker, Houman Bedayat, Sachin Mehta, Mohammad Rastegari, Mahyar Najibi, Saman Naderiparizi
Building a Multivariate Time Series Benchmarking Datasets Inspired by Natural Language Processing (NLP)
Mohammad Asif Ibna Mustafa (Department of Computation, Information and Technology, Technical University of Munich, Munich, Germany), Ferdinand Heinrich (Fraunhofer Institute for Electronic Microsystems and Solid State Technologies EMFT, Machine Learning Enhanced Sensor Systems, Munich, Germany)
BanglaQuAD: A Bengali Open-domain Question Answering Dataset
Md Rashad Al Hasan Rony, Sudipto Kumar Shaha, Rakib Al Hasan, Sumon Kanti Dey, Amzad Hossain Rafi, Amzad Hossain Rafi, Ashraf Hasan Sirajee, Jens Lehmann
AlphaLoRA: Assigning LoRA Experts Based on Layer Training Quality
Peijun Qing, Chongyang Gao, Yefan Zhou, Xingjian Diao, Yaoqing Yang, Soroush Vosoughi
Traversing Emotional Landscapes and Linguistic Patterns in Bernard-Marie Koltès' Plays: An NLP Perspective
Arezou Zahiri Pourzarandi, Farshad Jafari
I or Not I: Unraveling the Linguistic Echoes of Identity in Samuel Beckett's "Not I" Through Natural Language Processing
Arezou Zahiri Pourzarandi, Farshad Jafari
The Future of Learning in the Age of Generative AI: Automated Question Generation and Assessment with Large Language Models
Subhankar Maity, Aniket Deroy
Audio Description Generation in the Era of LLMs and VLMs: A Review of Transferable Generative AI Technologies
Yingqiang Gao, Lukas Fischer, Alexa Lintner, Sarah Ebling
Enhancing Indonesian Automatic Speech Recognition: Evaluating Multilingual Models with Diverse Speech Variabilities
Aulia Adila, Dessi Lestari, Ayu Purwarianti, Dipta Tanaya, Kurniawati Azizah, Sakriani Sakti
On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook
Ana-Maria Bucur, Andreea-Codrina Moldovan, Krutika Parvatikar, Marcos Zampieri, Ashiqur R. KhudaBukhsh, Liviu P. Dinu
GUS-Net: Social Bias Classification in Text with Generalizations, Unfairness, and Stereotypes
Maximus Powers, Hua Wei, Umang Mavani, Harshitha Reddy Jonala, Ansh Tiwari
The Large Language Model GreekLegalRoBERTa
Vasileios Saketos, Despina-Athanasia Pantazi, Manolis Koubarakis
Unsupervised Data Validation Methods for Efficient Model Training
Yurii Paniv