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 25, 2024

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement
Zhefan Rao, Liya Ji, Yazhou Xing, Runtao Liu, Zhaoyang Liu, Jiaxin Xie, Ziqiao Peng, Yingqing He, Qifeng Chen
Large Language Model Language Understanding Text to Video Continual Pre Training T2V Generation Model Expansion Model Growth
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search
Lei Yang, Shaoyang Xu, Deyi Xiong
Large Language Model Fine Tuning Transformer Architecture Lazy Search Memory Efficient Fine Tuning Length Extrapolation Scaling Factor
Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks
Jiacheng Hu, Xiaoxuan Liao, Jia Gao, Zhen Qi, Hongye Zheng, Chihang Wang
Large Language Model Native Robustness Practical Algorithm NLP Task Low Rank Adaptation Fast LoRA LoRA Module
Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning
Chirag Nagpal, Subhashini Venugopalan, Jimmy Tobin, Marilyn Ladewig, Katherine Heller, Katrin Tomanek
Large Language Model Language Model Reinforcement Learning Medical LLM Speech Recognition Speech Input Language Disorder

December 24, 2024

Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice
Cong Jiang, Xiaolei Yang
Large Language Model Agent Smith Trustworthy Artificial Intelligence Legal Judgment Prediction Legal AI CodeRAG Bench Data Justice
AgreeMate: Teaching LLMs to Haggle
Ainesh Chatterjee, Samuel Miller, Nithin Parepally
Large Language Model Natural Language Iron Ore Negotiation Nash Bargaining
A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs
OpenMind, Shaohong Zhong, Adam Zhou, Boyuan Chen, Homin Luo, Jan Liphardt
Large Language Model Non Humanoid Robot Robot Action Human Interaction Physical Robot Robot Capability Paragraph Speech
Token-Budget-Aware LLM Reasoning
Tingxu Han, Chunrong Fang, Shiyu Zhao, Shiqing Ma, Zhenyu Chen, Zhenting Wang
Large Language Model LLM Reasoning Reasoning Process
Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving
Hao Pang, Zhenpo Wang, Guoqiang Li
Large Language Model Deep Reinforcement Learning Autonomous Driving Autonomous Vehicle Decision Relevant Information Traditional CrAFT Expert Driver
A Statistical Framework for Ranking LLM-Based Chatbots
Siavash Ameli, Siyuan Zhuang, Ion Stoica, Michael W. Mahoney
Large Language Model Natural Language Processing Chatbot Response Partial Ranking Pairwise Comparison Statistical Framework Conversational Task
ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing
Osama Abdellaif, Abdelrahman Nader, Ali Hamdi
Large Language Model Gallery Style OCR Robotic Process Automation Process Automation Document Processing
Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight
Xi Ding, Lei Wang
Large Language Model Anomaly Detection Vision Language Model Video Anomaly Detection Spatial Coherence Zero Shot Detection Shifting Spotlight
Annotating References to Mythological Entities in French Literature
Thierry Poibeau (Lattice)
Large Language Model Information Retrieval Annotated Chapter Information Many Myth Annotation Scheme
Expand VSR Benchmark for VLLM to Expertize in Spatial Rules
Peijin Xie, Lin Sun, Bingquan Liu, Dexin Wang, Xiangzheng Zhang, Chengjie Sun, Jiajia Zhang
Large Language Model Fine Grained Complex Reasoning Spatial Reasoning Relative Position
GeneSUM: Large Language Model-based Gene Summary Extraction
Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
Large Language Model Large Language Genome Understanding
LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment
Binrui Zeng, Bin Ji, Xiaodong Liu, Jie Yu, Shasha Li, Jun Ma, Xiaopeng Li, Shangwen Wang, Xinran Hong
Large Language Model Software Deployment Quantization Technique Adaptive Quantization
AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation
Hao Wen, Shizuo Tian, Borislav Pavlov, Wenjie Du, Yixuan Li, Ge Chang, Shanhui Zhao, Jiacheng Liu, Yunxin Liu, Ya-Qin Zhang, Yuanchun Li
Large Language Model Code Generation Smaller Language Model Token Boosting Task Automation Application Programming Interface Documentation
SlimGPT: Layer-wise Structured Pruning for Large Language Models
Gui Ling, Ziyang Wang, Yuliang Yan, Qingwen Liu
Large Language Model Edge Pruning Structured Pruning
Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine
Yu He Ke, Liyuan Jin, Kabilan Elangovan, Bryan Wen Xi Ong, Chin Yang Oh, Jacqueline Sim, Kenny Wei-Tsen Loh, Chai Rick Soh, Jonathan Ming Hua Cheng, Aaron Kwang Yang Lee, Daniel Shu Wei Ting, Nan Liu, Hairil Rizal Abdullah
Large Language Model Real World Deployment Clinical Decision Open Surgery Clinical Model
Molly: Making Large Language Model Agents Solve Python Problem More Logically
Rui Xiao, Jiong Wang, Lu Han, Na Zong, Han Wu
Large Language Model Retrieval Augmented Generation Chinese Dataset Scenario Based

Large Language Model

Papers

ModelGrow: Continual Text-to-Video Pre-training with Model Expansion and Language Understanding Enhancement

DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search

Optimizing Large Language Models with an Enhanced LoRA Fine-Tuning Algorithm for Efficiency and Robustness in NLP Tasks

Speech Recognition With LLMs Adapted to Disordered Speech Using Reinforcement Learning

Agents on the Bench: Large Language Model Based Multi Agent Framework for Trustworthy Digital Justice

AgreeMate: Teaching LLMs to Haggle

A Paragraph is All It Takes: Rich Robot Behaviors from Interacting, Trusted LLMs

Token-Budget-Aware LLM Reasoning

Large Language Model guided Deep Reinforcement Learning for Decision Making in Autonomous Driving

A Statistical Framework for Ranking LLM-Based Chatbots

ERPA: Efficient RPA Model Integrating OCR and LLMs for Intelligent Document Processing

Quo Vadis, Anomaly Detection? LLMs and VLMs in the Spotlight

Annotating References to Mythological Entities in French Literature

Expand VSR Benchmark for VLLM to Expertize in Spatial Rules

GeneSUM: Large Language Model-based Gene Summary Extraction

LSAQ: Layer-Specific Adaptive Quantization for Large Language Model Deployment

AutoDroid-V2: Boosting SLM-based GUI Agents via Code Generation

SlimGPT: Layer-wise Structured Pruning for Large Language Models

Real-world Deployment and Evaluation of PErioperative AI CHatbot (PEACH) -- a Large Language Model Chatbot for Perioperative Medicine

Molly: Making Large Language Model Agents Solve Python Problem More Logically