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
J2N -- Nominal Adjective Identification and its Application
Lemeng Qi, Yang Han, Zhuotong Xie
Using Natural Language Processing to find Indication for Burnout with Text Classification: From Online Data to Real-World Data
Mascha Kurpicz-Briki, Ghofrane Merhbene, Alexandre Puttick, Souhir Ben Souissi, Jannic Bieri, Thomas Jörg Müller, Christoph Golz
Knowledge in Triples for LLMs: Enhancing Table QA Accuracy with Semantic Extraction
Hossein Sholehrasa, Sanaz Saki Norouzi, Pascal Hitzler, Majid Jaberi-Douraki
On Importance of Pruning and Distillation for Efficient Low Resource NLP
Aishwarya Mirashi, Purva Lingayat, Srushti Sonavane, Tejas Padhiyar, Raviraj Joshi, Geetanjali Kale
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information
Jiashuo Sun, Jihai Zhang, Yucheng Zhou, Zhaochen Su, Xiaoye Qu, Yu Cheng
What is a Digital Twin Anyway? Deriving the Definition for the Built Environment from over 15,000 Scientific Publications
Mahmoud Abdelrahman, Edgardo Macatulad, Binyu Lei, Matias Quintana, Clayton Miller, Filip Biljecki
Graph Neural Network Framework for Sentiment Analysis Using Syntactic Feature
Linxiao Wu, Yuanshuai Luo, Binrong Zhu, Guiran Liu, Rui Wang, Qian Yu
Are Large Language Models Good Essay Graders?
Anindita Kundu, Denilson Barbosa
Natural Language Processing Methods for the Study of Protein-Ligand Interactions
James Michels, Ramya Bandarupalli, Amin Ahangar Akbari, Thai Le, Hong Xiao, Jing Li, Erik F. Y. Hom
Connecting Ideas in 'Lower-Resource' Scenarios: NLP for National Varieties, Creoles and Other Low-resource Scenarios
Aditya Joshi, Diptesh Kanojia, Heather Lent, Hour Kaing, Haiyue Song
LLMR: Knowledge Distillation with a Large Language Model-Induced Reward
Dongheng Li, Yongchang Hao, Lili Mou
Leveraging Distillation Techniques for Document Understanding: A Case Study with FLAN-T5
Marcel Lamott, Muhammad Armaghan Shakir
RoMath: A Mathematical Reasoning Benchmark in Romanian
Adrian Cosma, Ana-Maria Bucur, Emilian Radoi
Propulsion: Steering LLM with Tiny Fine-Tuning
Md Kowsher, Nusrat Jahan Prottasha, Prakash Bhat