Full Model

"Full Model" research encompasses the development and improvement of large-scale machine learning models across diverse applications, aiming to enhance performance, efficiency, and robustness. Current research focuses on addressing model vulnerabilities (e.g., adversarial attacks, hallucinations), improving efficiency for resource-constrained devices, and developing specialized models for specific domains (e.g., finance, astronomy, medical imaging). This work is significant for advancing AI capabilities in various fields and for mitigating potential risks associated with deploying complex models in real-world settings.

Papers

October 18, 2024

Diverging Preferences: When do Annotators Disagree and do Models Know?
Michael JQ Zhang, Zhilin Wang, Jena D. Hwang, Yi Dong, Olivier Delalleau, Yejin Choi, Eunsol Choi, Xiang Ren, Valentina Pyatkin
Full Model Reward Model Human Preference Individual Annotator Disagreement Analysis Framework
Automated Genre-Aware Article Scoring and Feedback Using Large Language Models
Chihang Wang, Yuxin Dong, Zhenhong Zhang, Ruotong Wang, Shuo Wang, Jiajing Chen
Large Language Model Full Model Human Feedback Large Language News Classification Feature Mining
Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models
Li Chaorong, Ling Xudong, Yang Qiang, Qin Fengqing, Huang Yuanyuan
Full Model Precipitation Prediction Precipitation Associated Multi Task Diffusion Model Extreme Precipitation Nowcasting Latent Task
A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process
Xiao Liu, Xinchao Liu
Full Model Gaussian Process Machine Learning Approach Reduced Order Subspace Learning Proper Orthogonal Decomposition Reduced Basis Polynomial Basis

October 17, 2024

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models
Yuzhe Yang, Yifei Zhang, Yan Hu, Yilin Guo, Ruoli Gan, Yueru He, Mingcong Lei, Xiao Zhang, Haining Wang, Qianqian Xie, Jimin Huang, Honghai Yu, Benyou Wang
Full Model Benchmark Dataset Human Evaluation Large Language FINancial Task
Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models
Eddie L. Ungless, Nikolas Vitsakis, Zeerak Talat, James Garforth, Björn Ross, Arno Onken, Atoosa Kasirzadeh, Alexandra Birch
Large Language Model Full Model Large Language Ethical Consideration Research Ethic White Paper Ethic Dataset
A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
Qiaoyu Tang, Le Yu, Bowen Yu, Hongyu Lin, Keming Lu, Yaojie Lu, Xianpei Han, Le Sun
Full Model Pre Trained Model Unified View Post Training \Delta$ Robustness
Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors
Georgios Chochlakis, Alexandros Potamianos, Kristina Lerman, Shrikanth Narayanan
Full Model Context Learning Large Language Posterior Mode Subjective Task Numerical Aggregation
Enhancing Retail Sales Forecasting with Optimized Machine Learning Models
Priyam Ganguly, Isha Mukherjee
Full Model Random Forest Predictive Model Vector Regression
FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model
ZiDong Wang, Zeyu Lu, Di Huang, Cai Zhou, Wanli Ouyang, and Lei Bai
Full Model Diffusion Explainer Diffusion Transformer Resolution Generation
An Active Learning Framework for Inclusive Generation by Large Language Models
Sabit Hassan, Anthony Sicilia, Malihe Alikhani
Knowledge Distillation Training Data Full Model Active Learning Large Language Active Learning Framework Learner Model
All models are wrong, some are useful: Model Selection with Limited Labels
Patrik Okanovic, Andreas Kirsch, Jannes Kasper, Torsten Hoefler, Andreas Krause, Nezihe Merve Gürel
Self Supervised Learning Full Model Model Selection Label Information Limited Number
An Online Learning Approach to Prompt-based Selection of Generative Models
Xiaoyan Hu, Ho-fung Leung, Farzan Farnia
Generative Model Full Model Online Learning Generative Question View Selection Sample Generation Data Generation Model
Roadmap towards Superhuman Speech Understanding using Large Language Models
Fan Bu, Yuhao Zhang, Xidong Wang, Benyou Wang, Qun Liu, Haizhou Li
Large Language Model Full Model Spoken Language Understanding Large Language Requirement Based Roadmap
Quamba: A Post-Training Quantization Recipe for Selective State Space Models
Hung-Yueh Chiang, Chi-Chih Chang, Natalia Frumkin, Kai-Chiang Wu, Diana Marculescu
Large Language Model Full Model Long Sequence Selective State Space Accurate Quantization Per Tensor
BQA: Body Language Question Answering Dataset for Video Large Language Models
Shintaro Ozaki, Kazuki Hayashi, Miyu Oba, Yusuke Sakai, Hidetaka Kamigaito, Taro Watanabe
Data Set Full Model Video Language Emotion Label Human Communication Nonverbal Communication

October 16, 2024

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
Peng Xia, Kangyu Zhu, Haoran Li, Tianze Wang, Weijia Shi, Sheng Wang, Linjun Zhang, James Zou, Huaxiu Yao
Fine Tuning Full Model Medical Vision Medical VQA Medical Large Vision Language Model
Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models
Makram Chahine, Alex Quach, Alaa Maalouf, Tsun-Hsuan Wang, Daniela Rus
Full Model End to End Vision Based Behavior Cloning Flawed Foundation Visual Navigation Quadrotor Control Complex Robotic Task
POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization
Batuhan K. Karaman, Ishmam Zabir, Alon Benhaim, Vishrav Chaudhary, Mert R. Sabuncu, Xia Song
Large Language Model Full Model Faithful Generation Large Language Preference Optimization Model Completion
Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging
Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Pang Wei Koh, Jesse Dodge, Pradeep Dasigi
Language Model Full Model Parallel Training Robust Skill Task Vector General Purpose Language Model

Full Model

Papers

Diverging Preferences: When do Annotators Disagree and do Models Know?

Automated Genre-Aware Article Scoring and Feedback Using Large Language Models

Extreme Precipitation Nowcasting using Multi-Task Latent Diffusion Models

A Statistical Machine Learning Approach for Adapting Reduced-Order Models using Projected Gaussian Process

UCFE: A User-Centric Financial Expertise Benchmark for Large Language Models

Ethics Whitepaper: Whitepaper on Ethical Research into Large Language Models

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models

Aggregation Artifacts in Subjective Tasks Collapse Large Language Models' Posteriors

Enhancing Retail Sales Forecasting with Optimized Machine Learning Models

FiTv2: Scalable and Improved Flexible Vision Transformer for Diffusion Model

An Active Learning Framework for Inclusive Generation by Large Language Models

All models are wrong, some are useful: Model Selection with Limited Labels

An Online Learning Approach to Prompt-based Selection of Generative Models

Roadmap towards Superhuman Speech Understanding using Large Language Models

Quamba: A Post-Training Quantization Recipe for Selective State Space Models

BQA: Body Language Question Answering Dataset for Video Large Language Models

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models

Flex: End-to-End Text-Instructed Visual Navigation with Foundation Models

POROver: Improving Safety and Reducing Overrefusal in Large Language Models with Overgeneration and Preference Optimization

Merge to Learn: Efficiently Adding Skills to Language Models with Model Merging