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

October 1, 2024

Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness
Xiao Peng, Xufan Geng
Large Language Model Chain of Thought Agent System Self Awareness Multi Round
Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces
Lilac Atassi
Large Language Model Language Model Context Window Text to Music Generation Musical Data Text to Music Model
Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis
Chun-Hsiao Yeh, Jiayun Wang, Andrew D. Graham, Andrea J. Liu, Bo Tan, Yubei Chen, Yi Ma, Meng C. Lin
Large Language Model DCU Insight AQ Multimodal Diagnosis

September 30, 2024

A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment
Min Xian, Tao Wang, Sai Zhang, Fei Xu, Zhegang Ma
Large Language Model Machine Learning MAESTRO Dataset Risk Assessment
Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques
Tin Yuet Chung, Majid Latifi
Large Language Model Full Model Text Classification Environmental, Social, and Governance Truthful Disclosure Rule NLP Metric
Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models
Emma McDaniel, Samuel Scheele, Jeff Liu
Large Language Model Image Classification Zero Shot Classification Informative Latent Representation
Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation
Pedro Henrique Paiola, Gabriel Lino Garcia, João Renato Ribeiro Manesco, Mateus Roder, Douglas Rodrigues, João Paulo Papa
Large Language Model Fine Tuning Multilingual Model Medical Domain Model Evaluation Brazilian Portuguese MedQA Dataset Breeze 7B
Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution
Haiyan Zhao, Heng Zhao, Bo Shen, Ali Payani, Fan Yang, Mengnan Du
Large Language Model Gaussian Distribution Deep Subspace Concept Vector
Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems
Stephen Miner, Yoshiki Takashima, Simeng Han, Ferhat Erata, Timos Antonopoulos, Ruzica Piskac, Scott J Shapiro
Large Language Model Chain of Thought Reasoning Benchmark Reasoning Problem Challenging Benchmark State of the Art Large Tree of Thought
Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models
Ji Liu, Jiaxiang Ren, Ruoming Jin, Zijie Zhang, Yang Zhou, Patrick Valduriez, Dejing Dou
Large Language Model Fine Tuning Curriculum Learning Low Rank Adaptation Fisher Weighted
Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos
Md Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang, Fu-Jen Chu, Kris Kitani, Gedas Bertasius, Xitong Yang
Large Language Model Proposal Balance Refinement Instructional Video Goal Directed Visual Planning Soft Evaluation
Unsupervised Human Preference Learning
Sumuk Shashidhar, Abhinav Chinta, Vaibhav Sahai, Dilek Hakkani-Tür
Large Language Model Language Model Preference Learning Personalization Performance Personalization Method
A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting
Arya Chakraborty, Auhona Basu
Large Language Model Convolutional Neural Network LSTM Network State of the Art Forecasting Part Whole Hierarchy Short Term Memory
Text Clustering as Classification with LLMs
Chen Huang, Guoxiu He
Large Language Model Fine Tuning Classification Code Jina Embeddings Text Clustering
Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation
Shan Chen, Mingye Gao, Kuleen Sasse, Thomas Hartvigsen, Brian Anthony, Lizhou Fan, Hugo Aerts, Jack Gallifant, Danielle Bitterman
Large Language Model Language Model Misinformation Claim Online Misinformation Pill Prescription Health Misinformation Indirect Request
VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs
Ruotong Liao, Max Erler, Huiyu Wang, Guangyao Zhai, Gengyuan Zhang, Yunpu Ma, Volker Tresp
Large Language Model Zero Shot Spatio Temporal Video Understanding Long Form Video Understanding Long Video Understanding
Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference
Ke Yi, Zengke Liu, Jianwei Zhang, Chengyuan Li, Tong Zhang, Junyang Lin, Jingren Zhou
Large Language Model Channel Estimation Activation Quantization Different Quantization Smooth Animation
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions
Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff
Large Language Model Language Model Solution Path Stronger Generalizability Evidence Piece Reasoning Ability Reasoning Benchmark LLM Behavior Reproducibility Crisis
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Haitao Li, You Chen, Qingyao Ai, Yueyue Wu, Ruizhe Zhang, Yiqun Liu
Large Language Model Chinese Benchmark LLM Based Pipeline
What is the Role of Large Language Models in the Evolution of Astronomy Research?
Morgan Fouesneau, Ivelina G. Momcheva, Urmila Chadayammuri, Mariia Demianenko, Antoine Dumont, Raphael E. Hviding, K. Angelique Kahle, Nadiia Pulatova, Bhavesh Rajpoot, Marten B. Scheuck, Rhys Seeburger, Dmitry Semenov, Jaime I. Villaseñor
Large Language Model Integral Role Specie Evolution Astronomical Data Text Generation Capability Research Task

Large Language Model

Papers

Self-controller: Controlling LLMs with Multi-round Step-by-step Self-awareness

Integrating Text-to-Music Models with Language Models: Composing Long Structured Music Pieces

Insight: A Multi-Modal Diagnostic Pipeline using LLMs for Ocular Surface Disease Diagnosis

A Knowledge-Informed Large Language Model Framework for U.S. Nuclear Power Plant Shutdown Initiating Event Classification for Probabilistic Risk Assessment

Evaluating the performance of state-of-the-art esg domain-specific pre-trained large language models in text classification against existing models and traditional machine learning techniques

Zero-Shot Classification of Crisis Tweets Using Instruction-Finetuned Large Language Models

Adapting LLMs for the Medical Domain in Portuguese: A Study on Fine-Tuning and Model Evaluation

Beyond Single Concept Vector: Modeling Concept Subspace in LLMs with Gaussian Distribution

Scheherazade: Evaluating Chain-of-Thought Math Reasoning in LLMs with Chain-of-Problems

Fisher Information-based Efficient Curriculum Federated Learning with Large Language Models

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Unsupervised Human Preference Learning

A Hierarchical conv-LSTM and LLM Integrated Model for Holistic Stock Forecasting

Text Clustering as Classification with LLMs

Wait, but Tylenol is Acetaminophen... Investigating and Improving Language Models' Ability to Resist Requests for Misinformation

VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs

Rotated Runtime Smooth: Training-Free Activation Smoother for accurate INT4 inference

A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions

LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models

What is the Role of Large Language Models in the Evolution of Astronomy Research?