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

December 29, 2024

HindiLLM: Large Language Model for Hindi
Sanjay Chouhan, Shubha Brata Nath, Aparajita Dutta
Large Language Model Indian Language LLM Model
Mind the Data Gap: Bridging LLMs to Enterprise Data Integration
Moe Kayali, Fabian Wenz, Nesime Tatbul, Çağatay Demiralp
Large Language Model Benchmark Dataset Human Mind Real World Datasets Data Integration

December 28, 2024

Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles
Murat Arda Onsu, Poonam Lohan, Burak Kantarci
Large Language Model Autonomous Driving Autonomous Vehicle Edge Intelligence Military Application Autonomous Weapon
Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems
Minhye Jeon, Seokho Ahn, Young-Duk Seo
Large Language Model Knowledge Graph Recommender System Recommendation Performance Sensor Interoperability Specific Knowledge Graph
On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs
Atmane Ayoub Mansour Bahar, Ahmad Samer Wazan
Large Language Model Adversarial Attack Latent Vulnerability Concurrent Validity Common Vulnerability
Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset
Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Zhiming Ding, Shi Han, Dongmei Zhang, Qi Zhang
Large Language Model Data Set New Framework Information Extraction Long Document Financial Relation Extraction Hybrid Text
LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models
Miao Yu, Junfeng Fang, Yingjie Zhou, Xing Fan, Kun Wang, Shirui Pan, Qingsong Wen
Large Language Model Jailbreak Attack Attack Performance
"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise
Sharath Naganna, Saprativa Bhattacharjee, Pushpak Bhattacharyya, Biplab Banerjee
Large Language Model Computational Linguistics Digital STEALTH Metric Handwritten Signature Linguistic Phenomenon
STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains
Chencheng Zhu, Kazutaka Shimada, Tomoki Taniguchi, Tomoko Ohkuma
Large Language Model Case Study Active Learning Constructive Approach Domain Specific Context Example Scientific Domain Geographical Representativeness Scientific Information Extraction

December 27, 2024

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms
Adamu Gaston Philipo, Doreen Sebastian Sarwatt, Jianguo Ding, Mahmoud Daneshmand, Huansheng Ning
Large Language Model Text Classification Classification Algorithm Social Medium Platform Cyber Bullying Cyberbullying Detection
Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration
Le Chen, Bin Lei, Dunzhi Zhou, Pei-Hung Lin, Chunhua Liao, Caiwen Ding, Ali Jannesari
Large Language Model Multi Turn Dialogue Code Data Migration Related Efficient Compilation Dual Reinforcement Learning
Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework
Jiang Liu, Bolin Li, Haoyuan Li, Tianwei Lin, Wenqiao Zhang, Tao Zhong, Zhelun Yu, Jinghao Wei, Hao Cheng, Hao Jiang, Zheqi Lv, Juncheng Li, Siliang Tang, Yueting Zhuang
Large Language Model Multimodal Large Language Model Domain Specific Adaptive Importance Prompt Optimization Efficient Adaptation
Xmodel-2 Technical Report
Wang Qun, Liu Yang, Lin Qingquan, Qu Zhijiu, Jiang Ling
Large Language Model Complex Reasoning Reasoning Task Reasoning Capability Efficient Model
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
Zhe Yang, Yichang Zhang, Yudong Wang, Ziyao Xu, Junyang Lin, Zhifang Sui
Large Language Model Microbial Decomposition High Confidence Self Correction Self Generated Response
Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging
Hua Farn, Hsuan Su, Shachi H Kumar, Saurav Sahay, Shang-Tse Chen, Hung-yi Lee
Large Language Model Model Safety Pre Print Downstream Task Performance Safety Risk
A Survey on Large Language Model Acceleration based on KV Cache Management
Haoyang Li, Yiming Li, Anxin Tian, Tianhao Tang, Zhanchao Xu, Xuejia Chen, Nicole Hu, Wei Dong, Qing Li, Lei Chen
Large Language Model Timely Survey LLM Inference Key Value Cache
MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios
Jiaqi Fan, Jianhua Wu, Jincheng Gao, Jianhao Yu, Yafei Wang, Hongqing Chu, Bingzhao Gao
Large Language Model Multimodal Large Language Model Multimodal Phenomenon Traffic Scenario Semantic Scene Autonomous Driving Task Stacked Autoencoder Risk Localization
An Engorgio Prompt Makes Large Language Model Babble on
Jianshuo Dong, Ziyuan Zhang, Qingjie Zhang, Han Qiu, Tianwei Zhang, Hao Wang, Hewu Li, Qi Li, Chao Zhang, Ke Xu
Large Language Model Inference Attack Structure Guided Prompt

December 26, 2024

From Interets to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries
Hugh Van Deventer, Mark Mills, August Evrard
Large Language Model Retrieval Augmented Generation DCU Insight AQ Natural Language Query Course Specific Context Course Recommendation
Sentiment trading with large language models
Kemal Kirtac, Guido Germano
Large Language Model Stock Market Prediction Sentiment Prediction Portfolio Performance

Large Language Model

Papers

HindiLLM: Large Language Model for Hindi

Mind the Data Gap: Bridging LLMs to Enterprise Data Integration

Leveraging Edge Intelligence and LLMs to Advance 6G-Enabled Internet of Automated Defense Vehicles

Topic-Aware Knowledge Graph with Large Language Models for Interoperability in Recommender Systems

On the Validity of Traditional Vulnerability Scoring Systems for Adversarial Attacks against LLMs

Extract Information from Hybrid Long Documents Leveraging LLMs: A Framework and Dataset

LLM-Virus: Evolutionary Jailbreak Attack on Large Language Models

"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise

STAYKATE: Hybrid In-Context Example Selection Combining Representativeness Sampling and Retrieval-based Approach -- A Case Study on Science Domains

Assessing Text Classification Methods for Cyberbullying Detection on Social Media Platforms

Fortran2CPP: Automating Fortran-to-C++ Migration using LLMs via Multi-Turn Dialogue and Dual-Agent Integration

Boosting Private Domain Understanding of Efficient MLLMs: A Tuning-free, Adaptive, Universal Prompt Optimization Framework

Xmodel-2 Technical Report

Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging

A Survey on Large Language Model Acceleration based on KV Cache Management

MLLM-SUL: Multimodal Large Language Model for Semantic Scene Understanding and Localization in Traffic Scenarios

An Engorgio Prompt Makes Large Language Model Babble on

From Interets to Insights: An LLM Approach to Course Recommendations Using Natural Language Queries

Sentiment trading with large language models