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 4, 2024

How much can we forget about Data Contamination?
Sebastian Bordt, Suraj Srinivas, Valentyn Boreiko, Ulrike von Luxburg
Large Language Model Training Data Evaluation Benchmark Data Contamination Benchmark Data
Showing LLM-Generated Code Selectively Based on Confidence of LLMs
Jia Li, Yuqi Zhu, Yongmin Li, Ge Li, Zhi Jin
Large Language Model Code Generation High Confidence Multilingual Benchmark Fact Checking Benchmark
ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering
Huayang Li, Pat Verga, Priyanka Sen, Bowen Yang, Vijay Viswanathan, Patrick Lewis, Taro Watanabe, Yixuan Su
Large Language Model Question Answering Long Context
Frame-Voyager: Learning to Query Frames for Video Large Language Models
Sicheng Yu, Chengkai Jin, Huanyu Wang, Zhenghao Chen, Sheng Jin, Zhongrong Zuo, Xiaolei Xu, Zhenbang Sun, Bingni Zhang, Jiawei Wu, Hao Zhang, Qianru Sun
Large Language Model Pre Trained Video Question Answering Indoor Wall Frame Installation Video Understanding Task Per Frame
PersoBench: Benchmarking Personalized Response Generation in Large Language Models
Saleh Afzoon, Usman Naseem, Amin Beheshti, Zahra Jamali
Large Language Model Response Generation Persona Based Dialogue Persona Consistency
EXAQ: Exponent Aware Quantization For LLMs Acceleration
Moran Shkolnik, Maxim Fishman, Brian Chmiel, Hilla Ben-Yaacov, Ron Banner, Kfir Yehuda Levy
Large Language Model Large Language Model Inference Low Bit Quantization
Generating bilingual example sentences with large language models as lexicography assistants
Raphael Merx, Ekaterina Vylomova, Kemal Kurniawan
Large Language Model Sentence Level LLM Generation Sentence Pair Bilingual Dictionary
Autoregressive Large Language Models are Computationally Universal
Dale Schuurmans, Hanjun Dai, Francesco Zanini
Large Language Model Language Model Computation Method Autoregressive Large Language Model Autoregressive Decoding
Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
Kyuyoung Kim, Ah Jeong Seo, Hao Liu, Jinwoo Shin, Kimin Lee
Large Language Model Reward Model Model Alignment Pairwise Preference Fine Grained Feedback
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
Large Language Model New Benchmark Graph Level Task Graph Pattern
Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity
Hyosoon Jang, Yunhui Jang, Jaehyung Kim, Sungsoo Ahn
Large Language Model Alignment Problem Complex Structure Transformer Based Molecular
SAG: Style-Aligned Article Generation via Model Collaboration
Chenning Xu, Fangxun Shu, Dian Jin, Jinghao Wei, Hao Jiang
Large Language Model Language Model Content Generation Style Generation Model Collaboration Article GeneratIoN
Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model
Siheng Xiong, Ali Payani, Yuan Yang, Faramarz Fekri
Large Language Model Reasoning Capability World Model Multi Step Reasoning Reasoning Benchmark Human Reasoning Reasoning Performance Graph Based Planning
Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models
Yan Chen, Cheng Liu
Large Language Model Study Feature Useful Life Efficient Transfer Learning Industrial Machine Learning Remaining Useful Multivariate Signal Remaining Useful Life Prediction Regression Framework
Searching for Best Practices in Medical Transcription with Large Language Model
Jiafeng Li, Yanda Mu
Large Language Model Best Practice Medical Dialogue
On Unsupervised Prompt Learning for Classification with Black-box Language Models
Zhen-Yu Zhang, Jiandong Zhang, Huaxiu Yao, Gang Niu, Masashi Sugiyama
Large Language Model Classification Code Pseudo Labeled Data Black Box Language Model Pseudo Labeled
RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning
Zihao Zhao, Yuchen Yang, Yijiang Li, Yinzhi Cao
Large Language Model Language Model Context Learning Knowledge Editing Butterfly Effect Memory Editing
X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale
Haoran Xu, Kenton Murray, Philipp Koehn, Hieu Hoang, Akiko Eriguchi, Huda Khayrallah
Large Language Model Visual Analogue Scale High Resource Language Translation Task Dynamic ModulE Multilingual Data Based Rejection
Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks
Grant Wardle, Teo Susnjak
Large Language Model Text Modality Reasoning Task Multi Step Reasoning Different Modality Reasoning Performance Multi Modal PromPt Sequence Recognition

October 3, 2024

Coal Mining Question Answering with LLMs
Antonio Carlos Rivera, Anthony Moore, Steven Robinson
Large Language Model Prompt Engineering Mining Complex

Large Language Model

Papers

How much can we forget about Data Contamination?

Showing LLM-Generated Code Selectively Based on Confidence of LLMs

ALR$^2$: A Retrieve-then-Reason Framework for Long-context Question Answering

Frame-Voyager: Learning to Query Frames for Video Large Language Models

PersoBench: Benchmarking Personalized Response Generation in Large Language Models

EXAQ: Exponent Aware Quantization For LLMs Acceleration

Generating bilingual example sentences with large language models as lexicography assistants

Autoregressive Large Language Models are Computationally Universal

Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension

Can LLMs Generate Diverse Molecules? Towards Alignment with Structural Diversity

SAG: Style-Aligned Article Generation via Model Collaboration

Deliberate Reasoning for LLMs as Structure-aware Planning with Accurate World Model

Remaining Useful Life Prediction: A Study on Multidimensional Industrial Signal Processing and Efficient Transfer Learning Based on Large Language Models

Searching for Best Practices in Medical Transcription with Large Language Model

On Unsupervised Prompt Learning for Classification with Black-box Language Models

RIPPLECOT: Amplifying Ripple Effect of Knowledge Editing in Language Models via Chain-of-Thought In-Context Learning

X-ALMA: Plug & Play Modules and Adaptive Rejection for Quality Translation at Scale

Image First or Text First? Optimising the Sequencing of Modalities in Large Language Model Prompting and Reasoning Tasks

Coal Mining Question Answering with LLMs