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 7, 2024

Can large language models be privacy preserving and fair medical coders?
Ali Dadsetan, Dorsa Soleymani, Xijie Zeng, Frank Rudzicz
Large Language Model Differential Privacy Privacy Utility Medical Coding User Privacy Patient Privacy
Ranking of Large Language Model with Nonparametric Prompts
Zebin Wang, Yi Han, Ethan X. Fang, Lan Wang, Junwei Lu
Large Language Model Language Model Scientific Inference Partial Ranking Pairwise Comparison

December 6, 2024

Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering
Krishnasai Addala, Kabir Dev Paul Baghel, Dhruv Jain, Chhavi Kirtani, Avinash Anand, Rajiv Ratn Shah
Large Language Model Knowledge Graph Yes No Question Theoretical Physic KG BERTScore
Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System
Fang Zeng, Zhiliang Lyu, Quanzheng Li, Xiang Li
Large Language Model Medical LLM Multi Agent System Radiology Report Medical AI Exemplar Image Impression Generation
Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback
Avinash Anand, Kritarth Prasad, Chhavi Kirtani, Ashwin R Nair, Mohit Gupta, Saloni Garg, Anurag Gautam, Snehal Buldeo, Rajiv Ratn Shah
Large Language Model Reinforcement Learning Physic Based Physical Reasoning AI Feedback
APOLLO: SGD-like Memory, AdamW-level Performance
Hanqing Zhu, Zhenyu Zhang, Wenyan Cong, Xi Liu, Sem Park, Vikas Chandra, Bo Long, David Z. Pan, Zhangyang Wang, Jinwon Lee
Large Language Model Memory Efficient Efficient LLM APOLLO Apollonion ICARUS
100% Hallucination Elimination Using Acurai
Michael C. Wood, Adam A. Forbes
Large Language Model RAG Based
LinVT: Empower Your Image-level Large Language Model to Understand Videos
Lishuai Gao, Yujie Zhong, Yingsen Zeng, Haoxian Tan, Dengjie Li, Zheng Zhao
Large Language Model Gameplay Video Human Understanding Multimodal Video Understanding 2 Dimensional Vision Language Model Visual Language Alignment
QueEn: A Large Language Model for Quechua-English Translation
Junhao Chen, Peng Shu, Yiwei Li, Huaqin Zhao, Hanqi Jiang, Yi Pan, Yifan Zhou, Zhengliang Liu, Lewis C Howe, Tianming Liu
Large Language Model Natural Language Retrieval Augmented Generation Low Resource Linguistic Resource Quechua Language
A Practical Examination of AI-Generated Text Detectors for Large Language Models
Brian Tufts, Xuandong Zhao, Lei Li
Large Language Model Language Model Adversarial Attack Data Detection Exam Document Text Detector Content Recognition
The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models
Michael Hewing, Vincent Leinhos
Large Language Model Prompt Engineering Style PROMPT Structured Explanation Image Prompt Role Based
Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference
Qingyuan Li, Bo Zhang, Liang Ye, Yifan Zhang, Wei Wu, Yerui Sun, Lin Ma, Yuchen Xie
Large Language Model Fast Inference Large Language Model Inference Tensor Parallelism Level Parallelism
C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation
Yanyang Li, Tin Long Wong, Cheung To Hung, Jianqiao Zhao, Duo Zheng, Ka Wai Liu, Michael R. Lyu, Liwei Wang
Large Language Model Language Model Global Evaluation Evaluation Benchmark Large Scale Evaluation Free Task
Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning
Jayanie Bogahawatte, Sachith Seneviratne, Maneesha Perera, Saman Halgamuge
Large Language Model Contrastive Learning Time Series Forecasting Nearest Neighbor Positional Embeddings Short Term Forecasting Nearest Neighbor Contrastive Learning Shot Forecasting
GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments
Yanyu Chen, Ganhong Huang
Large Language Model Full Model LLM Inference Large Language Inference Framework Heterogeneous Environment Performance Bottleneck Device Heterogeneity
Foundation Models for Low-Resource Language Education (Vision Paper)
Zhaojun Ding, Zhengliang Liu, Hanqi Jiang, Yizhu Gao, Xiaoming Zhai, Tianming Liu, Ninghao Liu
Large Language Model Foundation Model Natural Language Vision Paper Low Resource Language Multilingual Model Low Resourced Language Collective Learning
Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern
Hongyin Tang, Di Xiu, Lanrui Wang, Xiurui Geng, Jingang Wang, Xunliang Cai
Large Language Model Long Context Sparse Attention Text Benchmark Streaming Inference LLM dCache
BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English
Dipankar Srirag, Aditya Joshi, Jordan Painter, Diptesh Kanojia
Large Language Model New Benchmark Multilingual Model MAESTRO Dataset Implicit Sentiment Sarcasm Detection Wide Variety
Transformers Struggle to Learn to Search
Abulhair Saparov, Srushti Pawar, Shreyas Pimpalgaonkar, Nitish Joshi, Richard Yuanzhe Pang, Vishakh Padmakumar, Seyed Mehran Kazemi, Najoung Kim, He He
Large Language Model Transformer Megatron Decepticons Transformer Based Efficient Search Graph Connectivity
Privacy-Preserving Retrieval Augmented Generation with Differential Privacy
Tatsuki Koga, Ruihan Wu, Kamalika Chaudhuri
Large Language Model Differential Privacy Retrieval Augmented Generation Privacy Policy Sensitive Data Privacy Budget Differential Analysis Protecting Privacy

Large Language Model

Papers

Can large language models be privacy preserving and fair medical coders?

Ranking of Large Language Model with Nonparametric Prompts

Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering

Enhancing LLMs for Impression Generation in Radiology Reports through a Multi-Agent System

Enhancing LLMs for Physics Problem-Solving using Reinforcement Learning with Human-AI Feedback

APOLLO: SGD-like Memory, AdamW-level Performance

100% Hallucination Elimination Using Acurai

LinVT: Empower Your Image-level Large Language Model to Understand Videos

QueEn: A Large Language Model for Quechua-English Translation

A Practical Examination of AI-Generated Text Detectors for Large Language Models

The Prompt Canvas: A Literature-Based Practitioner Guide for Creating Effective Prompts in Large Language Models

Flash Communication: Reducing Tensor Parallelization Bottleneck for Fast Large Language Model Inference

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation

Rethinking Time Series Forecasting with LLMs via Nearest Neighbor Contrastive Learning

GUIDE: A Global Unified Inference Engine for Deploying Large Language Models in Heterogeneous Environments

Foundation Models for Low-Resource Language Education (Vision Paper)

Ltri-LLM: Streaming Long Context Inference for LLMs with Training-Free Dynamic Triangular Attention Pattern

BESSTIE: A Benchmark for Sentiment and Sarcasm Classification for Varieties of English

Transformers Struggle to Learn to Search

Privacy-Preserving Retrieval Augmented Generation with Differential Privacy