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 24, 2024

Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification
Ramya Keerthy Thatikonda, Jiuzhou Han, Wray Buntine, Ehsan Shareghi
Large Language Model Natural Language Processing Fine Tuning Verification Task Data Generation Logical Reasoning Symbolic Reasoning Larger Language Model
A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions
Rajesh Ranjan, Shailja Gupta, Surya Narayan Singh
Large Language Model Natural Language Processing Medical LLM Absolute Stance Bias Comprehensive Survey Future Direction Bias Mitigation Current State Text Generation Capability
Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration
Gabriele De Vito, Filomena Ferrucci, Athanasios Angelakis
Large Language Model Global Evaluation Medical Text Drug Feature Clinical Decision Support System Heterogeneous Clinical Synthetic Medical Data
Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs
Shadi Iskander, Nachshon Cohen, Zohar Karnin, Ori Shapira, Sofia Tolmach
Large Language Model Training Data Synthetic Data Quality Issue Data Quality
Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering
Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu
Large Language Model Low Rank Adaptation Modularity Function Semantic Unit
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng
Large Language Model Human Prediction Retrieval Augmented Generation Predictive Uncertainty High Quality Risk Description Latent Factor
LLM With Tools: A Survey
Zhuocheng Shen
Large Language Model Timely Survey Medical LLM Knowledge Base Easy Tool Learning Paradigm Digital Tool Robust Reasoning
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs
Yang Yuhang, Peng Yizhou, Eng Siong Chng, Xionghu Zhong
Large Language Model Automatic Speech Recognition Text Modality Chinese Character Bridging Text Pre Trained Speech Model
Finetuning LLMs for Comparative Assessment Tasks
Vatsal Raina, Adian Liusie, Mark Gales
Large Language Model Language Generation Comparative Evaluation Reference Free Evaluation Zero Shot LLM
Predicting Distance matrix with large language models
Jiaxing Yang
Large Language Model Structure Prediction RNA Structure miRNA Description Distance Prediction
HLB: Benchmarking LLMs' Humanlikeness in Language Use
Xufeng Duan, Bei Xiao, Xuemei Tang, Zhenguang G. Cai
Large Language Model Language Model Human Language Human Like Human Centered
Exploring the traditional NMT model and Large Language Model for chat translation
Jinlong Yang, Hengchao Shang, Daimeng Wei, Jiaxin Guo, Zongyao Li, Zhanglin Wu, Zhiqiang Rao, Shaojun Li, Yuhao Xie, Yuanchang Luo, Jiawei Zheng, Bin Wei, Hao Yang
Large Language Model Self Training NMT Model Translation Capability
Empirical Insights on Fine-Tuning Large Language Models for Question-Answering
Junjie Ye, Yuming Yang, Qi Zhang, Tao Gui, Xuanjing Huang, Peng Wang, Zhongchao Shi, Jianping Fan
Large Language Model Empirical Study Model Performance Supervised Fine Tuning LLM Performance
SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents
Gabriele Fossi, Youssef Boulaimena, Leila Outemzabeta, Nathalie Jeanraya, Stephane Gerarta, Sebastien Vachenca, Joanna Giemzaa, Salvatore Raieli
Large Language Model Agent Smith Drug Discovery Report Generation SWIFT DynGFN Target Concept
NER-Luxury: Named entity recognition for the fashion and luxury domain
Akim Mousterou
Large Language Model Entity Recognition Fashion Domain Entity Disambiguation NER Model Annotation Scheme
Small Language Models: Survey, Measurements, and Insights
Zhenyan Lu, Xiang Li, Dongqi Cai, Rongjie Yi, Fangming Liu, Xiwen Zhang, Nicholas D. Lane, Mengwei Xu
Large Language Model Language Model Timely Survey DCU Insight AQ Open Source LLM Internal Measurement Decoder Only Language Model
CHBench: A Chinese Dataset for Evaluating Health in Large Language Models
Chenlu Guo, Nuo Xu, Yi Chang, Yuan Wu
Large Language Model Performance Evaluation Chinese Dataset Chinese Benchmark Health Information
XTRUST: On the Multilingual Trustworthiness of Large Language Models
Yahan Li, Yi Wang, Yi Chang, Yuan Wu
Large Language Model Language Model Natural Language Processing Multilingual Safety
Federated Large Language Models: Current Progress and Future Directions
Yuhang Yao, Jianyi Zhang, Junda Wu, Chengkai Huang, Yu Xia, Tong Yu, Ruiyi Zhang, Sungchul Kim, Ryan Rossi, Ang Li, Lina Yao, Julian McAuley, Yiran Chen, Carlee Joe-Wong
Large Language Model Training Data Federated Learning Future Direction Federated Large Language Model CG FedLLM
Making Text Embedders Few-Shot Learners
Chaofan Li, MingHao Qin, Shitao Xiao, Jianlyu Chen, Kun Luo, Yingxia Shao, Defu Lian, Zheng Liu
Large Language Model LeArning Abstract Text Embeddings Shot Example Input Context

Large Language Model

Papers

Strategies for Improving NL-to-FOL Translation with LLMs: Data Generation, Incremental Fine-Tuning, and Verification

A Comprehensive Survey of Bias in LLMs: Current Landscape and Future Directions

Design and Evaluation of a CDSS for Drug Allergy Management Using LLMs and Pharmaceutical Data Integration

Quality Matters: Evaluating Synthetic Data for Tool-Using LLMs

Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering

Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework

LLM With Tools: A Survey

Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs

Finetuning LLMs for Comparative Assessment Tasks

Predicting Distance matrix with large language models

HLB: Benchmarking LLMs' Humanlikeness in Language Use

Exploring the traditional NMT model and Large Language Model for chat translation

Empirical Insights on Fine-Tuning Large Language Models for Question-Answering

SwiftDossier: Tailored Automatic Dossier for Drug Discovery with LLMs and Agents

NER-Luxury: Named entity recognition for the fashion and luxury domain

Small Language Models: Survey, Measurements, and Insights

CHBench: A Chinese Dataset for Evaluating Health in Large Language Models

XTRUST: On the Multilingual Trustworthiness of Large Language Models

Federated Large Language Models: Current Progress and Future Directions

Making Text Embedders Few-Shot Learners