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

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 Microstructural Feature Target Population
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
SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs
Hanzhu Chen, Xu Shen, Qitan Lv, Jie Wang, Xiaoqi Ni, Jieping Ye
Large Language Model Knowledge Graph Knowledge Intensive Task Specific Knowledge Graph Automatic Construction
Investigating Layer Importance in Large Language Models
Yang Zhang, Yanfei Dong, Kenji Kawaguchi
Large Language Model Multi Layer Feature Attribution
LLMs are One-Shot URL Classifiers and Explainers
Fariza Rashid, Nishavi Ranaweera, Ben Doyle, Suranga Seneviratne
Large Language Model Url Detection URL Classification

September 21, 2024

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends
Xinghua Zhang, Haiyang Yu, Yongbin Li, Minzheng Wang, Longze Chen, Fei Huang
Large Language Model Barzilai Borwein Technique Recent Trend Conversational Data Future Command
Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks
Liujianfu Wang, Yuyang Du, Jingqi Lin, Kexin Chen, Soung Chang Liew
Large Language Model Fine Tuning Timely Communication Deep Understanding Language Model Fine Tuning Computer Network

Large Language Model

Papers

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

SAC-KG: Exploiting Large Language Models as Skilled Automatic Constructors for Domain Knowledge Graphs

Investigating Layer Importance in Large Language Models

LLMs are One-Shot URL Classifiers and Explainers

The Imperative of Conversation Analysis in the Era of LLMs: A Survey of Tasks, Techniques, and Trends

Rephrase and Contrast: Fine-Tuning Language Models for Enhanced Understanding of Communication and Computer Networks