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

January 14, 2025

PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving
Ahmet Caner Yüzügüler, Jiawei Zhuang, Lukas Cavigelli
Large Language Model LLM Inference KV Cache Caching Strategy Data Prefetching Memory Bottleneck
Potential and Perils of Large Language Models as Judges of Unstructured Textual Data
Rewina Bedemariam, Natalie Perez, Sreyoshi Bhaduri, Satya Kapoor, Alex Gil, Elizabeth Conjar, Ikkei Itoku, David Theil, Aman Chadha, Naumaan Nayyar
Large Language Model Full Potential Unstructured Text Open Dataset Human Centered Evaluation Textual Feedback
Refusal Behavior in Large Language Models: A Nonlinear Perspective
Fabian Hildebrandt, Andreas Maier, Patrick Krauss, Achim Schilling
Large Language Model Inherent Interpretability Non Linear Refusal Training
Hierarchical Autoscaling for Large Language Model Serving with Chiron
Archit Patke, Dhemath Reddy, Saurabh Jha, Chandra Narayanaswami, Zbigniew Kalbarczyk, Ravishankar Iyer
Large Language Model Auto Scaling
A Roadmap to Guide the Integration of LLMs in Hierarchical Planning
Israel Puerta-Merino, Carlos Núñez-Molina, Pablo Mesejo, Juan Fernández-Olivares
Large Language Model Requirement Based Roadmap Hierarchical Planning Hierarchical Knowledge LLM Planning
Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT
Awritrojit Banerjee, Achim Schilling, Patrick Krauss
Large Language Model General Analysis Ticket BERT Layer Wise Narrative Text Writing Style Semantic Content
Large Language Model Interface for Home Energy Management Systems
François Michelon, Yihong Zhou, Thomas Morstyn
Large Language Model Human LLM Interaction Home Energy Management
Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs
Shuai Wang, Liang Ding, Yibing Zhan, Yong Luo, Zheng He, Dapeng Tao
Large Language Model Code Generation Shot Prompting Real World Programming
Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning
Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Hui Liu, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
Large Language Model Graph Drawing Complex Reasoning Reasoning Task LLM Reasoning Implicit Knowledge Multi Hop Question Answering Relational Inference
A Driver Advisory System Based on Large Language Model for High-speed Train
Y.C. Luo, J. Xun, W. Wang, R.Z. Zhang, Z.C. Zhao
Large Language Model High Explainability High Speed Train System High Speed Domain Specific LLM
Real-time Verification and Refinement of Language Model Text Generation
Joonho Ko, Jinheon Baek, Sung Ju Hwang
Large Language Model K TOKEN Natural Language Task Streaming Prediction

January 13, 2025

Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning
Karishma Thakrar, Nick Young
Large Language Model Fine Tuning Medical LLM Feature Extraction Job Market Labor Market Talent Management
SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models
Fabien Bernier, Jun Cao, Maxime Cordy, Salah Ghamizi
Large Language Model Graph Neural Network Optimization Purpose Power Grid Graph Embeddings Optimal Power Flow Power Network
TiEBe: A Benchmark for Assessing the Current Knowledge of Large Language Models
Thales Sales Almeida, Giovana Kerche Bonás, João Guilherme Alves Santos, Hugo Abonizio, Rodrigo Nogueira
Large Language Model New Benchmark Full Model Continual LEArning Data Centric Large Language Research Trend
Emergent effects of scaling on the functional hierarchies within large language models
Paul C. Bogdan
Large Language Model Language Model Attention Mechanism Part Whole Hierarchy Deep Layer Level Semantics Early Layer
LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks
Zan-Kai Chong, Hiroyuki Ohsaki, Bryan Ng
Large Language Model Network Programming Blockchain Based Platform State of the Art Large Incremental Knowledge
Lifelong Learning of Large Language Model based Agents: A Roadmap
Junhao Zheng, Chengming Shi, Xidi Cai, Qiuke Li, Duzhen Zhang, Chenxing Li, Dong Yu, Qianli Ma
Large Language Model Incremental Learning Agent Smith LLM Based Agent Lifelong Learning Requirement Based Roadmap Continuous Adaptation Lifelong Learning System
Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training
Ziqing Wen, Ping Luo, Jiahuan Wang, Xiaoge Deng, Jinping Zou, Kun Yuan, Tao Sun, Dongsheng Li
Large Language Model Training Data Efficient Training Memory Efficient Wavelet Transform
Touched by ChatGPT: Using an LLM to Drive Affective Tactile Interaction
Qiaoqiao Ren, Tony Belpaeme
Large Language Model ChatGPT Generated Conversation Tactile Robotic System Tactile Signal Haptic Information Tactile Estimation Tactile Interaction
ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training
Jiayang Wu, Wensheng Gan, Jiahao Zhang, Philip S. Yu
Large Language Model Knowledge Graph Anomaly Detection Representation Learning Unstructured Data Multi Channel

Large Language Model

Papers

PRESERVE: Prefetching Model Weights and KV-Cache in Distributed LLM Serving

Potential and Perils of Large Language Models as Judges of Unstructured Textual Data

Refusal Behavior in Large Language Models: A Nonlinear Perspective

Hierarchical Autoscaling for Large Language Model Serving with Chiron

A Roadmap to Guide the Integration of LLMs in Hierarchical Planning

Exploring Narrative Clustering in Large Language Models: A Layerwise Analysis of BERT

Large Language Model Interface for Home Energy Management Systems

Leveraging Metamemory Mechanisms for Enhanced Data-Free Code Generation in LLMs

Reasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning

A Driver Advisory System Based on Large Language Model for High-speed Train

Real-time Verification and Refinement of Language Model Text Generation

Enhancing Talent Employment Insights Through Feature Extraction with LLM Finetuning

SafePowerGraph-LLM: Novel Power Grid Graph Embedding and Optimization with Large Language Models

TiEBe: A Benchmark for Assessing the Current Knowledge of Large Language Models

Emergent effects of scaling on the functional hierarchies within large language models

LLM-Net: Democratizing LLMs-as-a-Service through Blockchain-based Expert Networks

Lifelong Learning of Large Language Model based Agents: A Roadmap

Breaking Memory Limits: Gradient Wavelet Transform Enhances LLMs Training

Touched by ChatGPT: Using an LLM to Drive Affective Tactile Interaction

ADKGD: Anomaly Detection in Knowledge Graphs with Dual-Channel Training