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 26, 2024

On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures
Wenwen Zhang, Zhouzhuo Tang, Yingmei Feng, Xia Yu, Qi Jie Wang, Zhiping Lin
Full Model Sars Cov 2 Channel Wise Infrared Domain
Super-resolved virtual staining of label-free tissue using diffusion models
Yijie Zhang, Luzhe Huang, Nir Pillar, Yuzhu Li, Hanlong Chen, Aydogan Ozcan
Full Model Diffusion Explainer Label Free Tissue Image Virtual Staining

October 25, 2024

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery
Philipe Dias, Aristeidis Tsaris, Jordan Bowman, Abhishek Potnis, Jacob Arndt, H. Lexie Yang, Dalton Lunga
Full Model Technical Challenge Foundation Model High Resolution Satellite Object Detection Benchmark Radio Source Effective Model Data Scaling
Model merging with SVD to tie the Knots
George Stoica, Pratik Ramesh, Boglarka Ecsedi, Leshem Choshen, Judy Hoffman
Fine Tuning Full Model Model Merging Singular Value Decomposition Knot Theory LoRA Module Merged Model
Graph Linearization Methods for Reasoning on Graphs with Large Language Models
Christos Xypolopoulos, Guokan Shang, Xiao Fei, Giannis Nikolentzos, Hadi Abdine, Iakovos Evdaimon, Michail Chatzianastasis, Giorgos Stamou, Michalis Vazirgiannis
Large Language Model Full Model Graph Drawing Complex Reasoning Graph Representation Large Language Graph Learning Task Graph Reasoning Reverse Graph Linearization
Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models
Yige Li, Hanxun Huang, Jiaming Zhang, Xingjun Ma, Yu-Gang Jiang
Full Model Backdoor Attack Backdoor Defense Anti Unification Backdoor Detection
Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models
Shuchen Meng, Andi Chen, Chihang Wang, Mengyao Zheng, Fangyu Wu, Xupeng Chen, Haowei Ni, Panfeng Li
Full Model State of the Art Deep Explainable Deep Learning Multi Currency
SHAP zero Explains All-order Feature Interactions in Black-box Genomic Models with Near-zero Query Cost
Darin Tsui, Aryan Musharaf, Amirali Aghazadeh
Full Model Shapley Value Feature Interaction Fusion SHAP Shapley Interaction

October 24, 2024

Retrieving Implicit and Explicit Emotional Events Using Large Language Models
Guimin Hu
Large Language Model Full Model Large Language
LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples
Huiyu Wu, Diego Klabjan
Large Language Model Full Model Synthetic Data Federated Learning Large Language Private Federated Learning Synthetic Sample
Stable Consistency Tuning: Understanding and Improving Consistency Models
Fu-Yun Wang, Zhengyang Geng, Hongsheng Li
Full Model Human Understanding Strong Consistency Consistency Training Consistency Distillation Consistency Optimization
Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens
Vittorio Erba, Emanuele Troiani, Luca Biggio, Antoine Maillard, Lenka Zdeborová
Large Language Model Full Model Long Sequence Teacher Network Binary Token Bilinear Model
From Imitation to Introspection: Probing Self-Consciousness in Language Models
Sirui Chen, Shu Yu, Shengjie Zhao, Chaochao Lu
Language Model Full Model Human Language Feature Imitation Higher Order Self Awareness
BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching
Peizhuang Cong, Qizhi Chen, Haochen Zhao, Tong Yang
Full Model LLM Inference Large Language Inference Service Automatic Batching Batch Inference
Moving Object Segmentation in Point Cloud Data using Hidden Markov Models
Vedant Bhandari, Jasmin James, Tyson Phillips, P. Ross McAree
Full Model Data Detection Autonomous Agent Hidden Markov Model Point Cloud Data Voxel Wise Moving Object Segmentation
Speech perception: a model of word recognition
Jean-Marc Luck, Anita Mehta
Full Model Short Text Encryption Method Speech Perception Larger Vocabulary Word Recognition
ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models
Hengxiang Zhang, Hongfu Gao, Qiang Hu, Guanhua Chen, Lili Yang, Bingyi Jing, Hongxin Wei, Bing Wang, Haifeng Bai, Lei Yang
Large Language Model Full Model Large Language Chinese Benchmark Unsafe Content Safety Evaluation Unsafe Input Safety Benchmark

October 23, 2024

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
Full Model Backdoor Attack Large Pre Trained Model
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
Michael Noukhovitch, Shengyi Huang, Sophie Xhonneux, Arian Hosseini, Rishabh Agarwal, Aaron Courville
Full Model Human Language Deep RL Faster Pace Asynchronous Training
Scaling Diffusion Language Models via Adaptation from Autoregressive Models
Shansan Gong, Shivam Agarwal, Yizhe Zhang, Jiacheng Ye, Lin Zheng, Mukai Li, Chenxin An, Peilin Zhao, Wei Bi, Jiawei Han, Hao Peng, Lingpeng Kong
Diffusion Model Full Model Adaptation Concern Diffusion Language Model Text Diffusion Model

Full Model

Papers

On-Site Precise Screening of SARS-CoV-2 Systems Using a Channel-Wise Attention-Based PLS-1D-CNN Model with Limited Infrared Signatures

Super-resolved virtual staining of label-free tissue using diffusion models

OReole-FM: successes and challenges toward billion-parameter foundation models for high-resolution satellite imagery

Model merging with SVD to tie the Knots

Graph Linearization Methods for Reasoning on Graphs with Large Language Models

Expose Before You Defend: Unifying and Enhancing Backdoor Defenses via Exposed Models

Enhancing Exchange Rate Forecasting with Explainable Deep Learning Models

SHAP zero Explains All-order Feature Interactions in Black-box Genomic Models with Near-zero Query Cost

Retrieving Implicit and Explicit Emotional Events Using Large Language Models

LanFL: Differentially Private Federated Learning with Large Language Models using Synthetic Samples

Stable Consistency Tuning: Understanding and Improving Consistency Models

Bilinear Sequence Regression: A Model for Learning from Long Sequences of High-dimensional Tokens

From Imitation to Introspection: Probing Self-Consciousness in Language Models

BATON: Enhancing Batch-wise Inference Efficiency for Large Language Models via Dynamic Re-batching

Moving Object Segmentation in Point Cloud Data using Hidden Markov Models

Speech perception: a model of word recognition

ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing

Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models

Scaling Diffusion Language Models via Adaptation from Autoregressive Models