Large Language Model

Large language models (LLMs) are sophisticated AI systems designed to process and generate human-like text, aiming to improve various natural language processing tasks. Current research focuses on enhancing LLM safety, efficiency (through techniques like quantization and optimized decoding), and fairness, as well as improving their ability to perform complex reasoning and handle diverse instructions. These advancements are significant because they address critical limitations in current LLMs and pave the way for broader applications across diverse fields, including healthcare, legal tech, and autonomous systems.

Papers

September 23, 2024

Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19
Mohammad Amin Roshani, Xiangyu Zhou, Yao Qiang, Srinivasan Suresh, Steve Hicks, Usha Sethuraman, Dongxiao Zhu
Large Language Model Case Study Covid 19 Conversational AI Disease Prediction Risk Score
Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs
Clément Christophe, Tathagata Raha, Svetlana Maslenkova, Muhammad Umar Salman, Praveen K Kanithi, Marco AF Pimentel, Shadab Khan
Large Language Model Fine Tuning Full Potential Clinical Text Continual Pre Training Fine Tuning Strategy
TS-TCD: Triplet-Level Cross-Modal Distillation for Time-Series Forecasting Using Large Language Models
Pengfei Wang, Huanran Zheng, Silong Dai, Wenjing Yue, Wei Zhu, Xiaoling Wang
Large Language Model Time Series Forecasting Modality Alignment Cross Modal Knowledge Distillation Fine Grained Cross Modal Alignment
Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely
Siyun Zhao, Yuqing Yang, Zilong Wang, Zhiyuan He, Luna K. Qiu, Lili Qiu
Large Language Model Language Model Retrieval Augmented Generation Comprehensive Survey Data Source Augmented LLM
Deploying Open-Source Large Language Models: A performance Analysis
Yannis Bendi-Ouis, Dan Dutarte, Xavier Hinaut
Large Language Model Full Model ChatGPT Generated Conversation Open Source Large Language Model Performance Analysis Open Weight Model
Privacy Policy Analysis through Prompt Engineering for LLMs
Arda Goknil, Femke B. Gelderblom, Simeon Tverdal, Shukun Tokas, Hui Song
Large Language Model Domain Knowledge Prompt Engineering Privacy Analysis
Effective and Evasive Fuzz Testing-Driven Jailbreaking Attacks against LLMs
Xueluan Gong, Mingzhe Li, Yilin Zhang, Fengyuan Ran, Chen Chen, Yanjiao Chen, Qian Wang, Kwok-Yan Lam
Large Language Model Jailbreak Attack New Attack Attack Framework Adaptive Mutation
Past Meets Present: Creating Historical Analogy with Large Language Models
Nianqi Li, Siyu Yuan, Jiangjie Chen, Jiaqing Liang, Feng Wei, Zujie Liang, Deqing Yang, Yanghua Xiao
Large Language Model Speech Presence Analogy Task
Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task
Zhanglin Wu, Daimeng Wei, Zongyao Li, Hengchao Shang, Jiaxin Guo, Shaojun Li, Zhiqiang Rao, Yuanchang Luo, Ning Xie, Hao Yang
Large Language Model Machine Translation Neural Machine Translation Translation Task Literal Translation
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng
Large Language Model Training Corpus Token Prediction Chinese Benchmark Pre Training Data Detection Probability Divergence Divergence Estimation
LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs
Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng
Large Language Model Question Answering HotPotQA Dataset Event Linking TREC Evaluation
PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs
Jiahao Yu, Yangguang Shao, Hanwen Miao, Junzheng Shi, Xinyu Xing
Large Language Model Fuzz Testing Prompt Injection Attack Prompt Injection Malicious Prompt Robust Test
Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science
Taihang Wang, Xiaoman Xu, Yimin Wang, Ye Jiang
Large Language Model Context Learning LLM Based Task Adaptation Computational Social Science
Direct Judgement Preference Optimization
Peifeng Wang, Austin Xu, Yilun Zhou, Caiming Xiong, Shafiq Joty
Large Language Model Direct Preference Optimization Automatic Evaluation Language Feedback Fine Tuned Judge Model
zsLLMCode: An Effective Approach for Functional Code Embedding via LLM with Zero-Shot Learning
Zixiang Xian, Chenhui Cui, Rubing Huang, Chunrong Fang, Zhenyu Chen
Large Language Model Medical LLM Zero Shot Learning Code Representation Intermediate Representation Effective Approach

September 22, 2024

Can pre-trained language models generate titles for research papers?
Tohida Rehman, Debarshi Kumar Sanyal, Samiran Chattopadhyay
Large Language Model Pre Trained Language Model Short Paper Research Paper Title Representation
Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios
Vishal Mirza, Rahul Kulkarni, Aakanksha Jadhav
Large Language Model Medical LLM Absolute Stance Bias Gender Bias Racial Bias Demographic Bias
Can Large Language Models Logically Predict Myocardial Infarction? Evaluation based on UK Biobank Cohort
Yuxing Zhi, Yuan Guo, Kai Yuan, Hesong Wang, Heng Xu, Haina Yao, Albert C Yang, Guangrui Huang, Yuping Duan
Large Language Model Global Evaluation Patient Data Clinical Decision Support Medical Domain Knowledge United Kingdom Biobank
A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language
Nikita Kartashov, Nikolaos N. Vlassis
Large Language Model Natural Language Denoising Diffusion Microstructure Model 3D Microstructures Target Population Microstructural Feature
Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis
Daoyang Li, Mingyu Jin, Qingcheng Zeng, Haiyan Zhao, Mengnan Du
Large Language Model High Resource Language Open Source LLM Multilingual Capability Cross Linguistic Multilingual Context

Large Language Model

Papers

Generative LLM Powered Conversational AI Application for Personalized Risk Assessment: A Case Study in COVID-19

Beyond Fine-tuning: Unleashing the Potential of Continuous Pretraining for Clinical LLMs

TS-TCD: Triplet-Level Cross-Modal Distillation for Time-Series Forecasting Using Large Language Models

Retrieval Augmented Generation (RAG) and Beyond: A Comprehensive Survey on How to Make your LLMs use External Data More Wisely

Deploying Open-Source Large Language Models: A performance Analysis

Privacy Policy Analysis through Prompt Engineering for LLMs

Effective and Evasive Fuzz Testing-Driven Jailbreaking Attacks against LLMs

Past Meets Present: Creating Historical Analogy with Large Language Models

Choose the Final Translation from NMT and LLM hypotheses Using MBR Decoding: HW-TSC's Submission to the WMT24 General MT Shared Task

Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method

LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs

PROMPTFUZZ: Harnessing Fuzzing Techniques for Robust Testing of Prompt Injection in LLMs

Instruction Tuning Vs. In-Context Learning: Revisiting Large Language Models in Few-Shot Computational Social Science

Direct Judgement Preference Optimization

zsLLMCode: An Effective Approach for Functional Code Embedding via LLM with Zero-Shot Learning

Can pre-trained language models generate titles for research papers?

Evaluating Gender, Racial, and Age Biases in Large Language Models: A Comparative Analysis of Occupational and Crime Scenarios

Can Large Language Models Logically Predict Myocardial Infarction? Evaluation based on UK Biobank Cohort

A Large Language Model and Denoising Diffusion Framework for Targeted Design of Microstructures with Commands in Natural Language

Exploring Multilingual Probing in Large Language Models: A Cross-Language Analysis