AI
Deep Contrastive Unlearning for Language Models
Researchers have proposed a new framework called Deep Contrastive Unlearning for fine-Tuning (DeepCU...
AI
Unleashing the Power of LLMs in Dense Retrieval with Query Likelihood Modeling
Researchers have proposed a new approach to improve the performance of large language models (LLMs) ...
AI
AI University: An LLM-Powered Learning Assistant for Engineering---A Finite Element Method Case Study
Researchers have developed AI University (AI-U), a framework that uses large language models to crea...
AI
ClinicalGPT-R1: Pushing reasoning capability of generalist disease diagnosis with large language model
Researchers have developed a large language model called ClinicalGPT-R1 for disease diagnosis. The m...
AI
COLORA: Efficient Fine-Tuning for Convolutional Models with a Study Case on Optical Coherence Tomography Image Classification
Researchers have introduced COLORA (Convolutional Low-Rank Adaptation), a method...
AI
Balancing Safety and Optimality in Robot Path Planning: Algorithm and Metric
Researchers have developed a new algorithm called the Unified Path Planner (UPP)...
AI
Seismic Acoustic Impedance Inversion Framework Based on Conditional Latent Generative Diffusion Model
Researchers have developed a new framework for seismic acoustic impedance invers...
AI
From Recognition to Reasoning: Advancing Multimodal Harmful Meme Detection via Chain-of-Thought Alignment
Researchers have created a new dataset called MemeMind to help detect harmful me...