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 31, 2024

An Empirical Evaluation of Large Language Models on Consumer Health Questions
Moaiz Abrar, Yusuf Sermet, Ibrahim Demir
Large Language Model Yes No Question Empirical Evaluation Non Expert Consumer Generated Medium Health Related

December 30, 2024

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching
Haoran Wang, Pingzhi Li, Min Chen, Jinglei Cheng, Junyu Liu, Tianlong Chen
Large Language Model Quantum Computing Quantum Physic Quantum Circuit Many Parameter Quantum Search Classical Simulation
Distributed Mixture-of-Agents for Edge Inference with Large Language Models
Purbesh Mitra, Priyanka Kaswan, Sennur Ulukus
Large Language Model Full Model Open Source Large Language Model Large Language Multiple Agent Gossip Algorithm Collaborative Inference Edge Inference
Facilitating large language model Russian adaptation with Learned Embedding Propagation
Mikhail Tikhomirov, Daniil Chernyshev
Large Language Model Instruction Tuning Fast Propagation Instruct Tuned Model
Plug-and-Play Training Framework for Preference Optimization
Jingyuan Ma, Rui Li, Zheng Li, Lei Sha, Zhifang Sui
Large Language Model Preference Optimization
KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation
Siyuan Fang, Kaijing Ma, Tianyu Zheng, Xinrun Du, Ningxuan Lu, Ge Zhang, Qingkun Tang
Large Language Model Knowledge Graph Training Free Higher Quality Reference
Enhancing AI Safety Through the Fusion of Low Rank Adapters
Satya Swaroop Gudipudi, Sreeram Vipparla, Harpreet Singh, Shashwat Goel, Ponnurangam Kumaraguru
Large Language Model Hybrid Fusion AI Safety Instruction Fine Tuning Low Rank Adapter Task Performance
DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models
Xiaolin Hu, Xiang Cheng, Peiyu Liu, Wei Liu, Jian Luan, Bin Wang, Yong Liu
Large Language Model Low Rank Approximation
Enhancing Annotated Bibliography Generation with LLM Ensembles
Sergio Bermejo
Large Language Model Information Redundancy
Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory
Xingjian Tao, Yiwei Wang, Yujun Cai, Zhicheng Yang, Jing Tang
Large Language Model Memory Trace Knowledge Base Question Answering Task Hidden Knowledge Answer Correctness Knowledge Retention
SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity
Pengfei Jing, Mengyun Tang, Xiaorong Shi, Xing Zheng, Sen Nie, Shi Wu, Yong Yang, Xiapu Luo
Large Language Model Natural Language Processing Benchmark Dataset Cybersecurity Perspective
Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks
Yuhe Ding, Bo Jiang, Aihua Zheng, Qin Xu, Jian Liang
Large Language Model Vision Language Model Downstream Task Stable Rank Representation Space Textual Graph
Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA
Qingyun Jin, Xiaohui Song, Feng Zhou, Zengchang Qin
Large Language Model Effective Method
Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble
Yongchang Li, Yujin Zhu, Tao Yan, Shijian Fan, Gang Wu, Liang Xu
Large Language Model Diverse Ensemble Knowledge Editing Knowledge Editing Method Ensemble Neural Network Neural Network Ensemble Knowledge Neuron Neuronal Ensemble

December 29, 2024

ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding
Xiao Wang, Qingyi Si, Jianlong Wu, Shiyu Zhu, Li Cao, Liqiang Nie
Large Language Model Human Understanding Video Understanding Temporal Information Information Redundancy Long Form Video Long Video Understanding Temporal Redundancy Video Perception
Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs
Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik
Large Language Model Medical LLM Neural Machine Translation Context Information Adaptive Importance Indian Language Well Formed Subtitle
Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection
Kalin Kopanov
Large Language Model Natural Language Processing Natural Language Processing Model Performance Comparison Natural Language Processing Tool Geo Entity Entity Boundary
Multi-Objective Large Language Model Unlearning
Zibin Pan, Shuwen Zhang, Yuesheng Zheng, Chi Li, Yuheng Cheng, Junhua Zhao
Large Language Model Unlearning Method Gradient Ascent LLM Unlearning
Natural Language Fine-Tuning
Jia Liu, Yue Wang, Zhiqi Lin, Min Chen, Yixue Hao, Long Hu
Large Language Model Natural Language LLM Fine Tuning Fine Tuning Task
LLM2: Let Large Language Models Harness System 2 Reasoning
Cheng Yang, Chufan Shi, Siheng Li, Bo Shui, Yujiu Yang, Wai Lam
Large Language Model Complex Reasoning Autoregressive Neural Network Dual Process Theory

Large Language Model

Papers

An Empirical Evaluation of Large Language Models on Consumer Health Questions

GroverGPT: A Large Language Model with 8 Billion Parameters for Quantum Searching

Distributed Mixture-of-Agents for Edge Inference with Large Language Models

Facilitating large language model Russian adaptation with Learned Embedding Propagation

Plug-and-Play Training Framework for Preference Optimization

KARPA: A Training-free Method of Adapting Knowledge Graph as References for Large Language Model's Reasoning Path Aggregation

Enhancing AI Safety Through the Fusion of Low Rank Adapters

DoTA: Weight-Decomposed Tensor Adaptation for Large Language Models

Enhancing Annotated Bibliography Generation with LLM Ensembles

Are LLMs Really Not Knowledgable? Mining the Submerged Knowledge in LLMs' Memory

SecBench: A Comprehensive Multi-Dimensional Benchmarking Dataset for LLMs in Cybersecurity

Learning to Rank Pre-trained Vision-Language Models for Downstream Tasks

Align Attention Heads Before Merging Them: An Effective Way for Converting MHA to GQA

Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble

ReTaKe: Reducing Temporal and Knowledge Redundancy for Long Video Understanding

Enhancing Entertainment Translation for Indian Languages using Adaptive Context, Style and LLMs

Comparative Performance of Advanced NLP Models and LLMs in Multilingual Geo-Entity Detection

Multi-Objective Large Language Model Unlearning

Natural Language Fine-Tuning

LLM2: Let Large Language Models Harness System 2 Reasoning