GitHub

Bridging Context Gaps: Leveraging Coreference Resolution for Long Contextual Understanding

LQCA/ ├─ __pycache__/ ├─ GPTFactory/ ├─ data/ ├─ result/ ├─ pron.txt ├─ config.py ├─ main.py ├─ predict.py ├─ requirements.txt ...
eLife

Separating selection from mutation in antibody language models

This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
IEEE

Prompt2Length: A Lightweight Model for Predicting Output Length in LLM Inference

Abstract: Accurate prediction of output length in large language model (LLM) inference is critical for efficient resource management, yet remains challenging due to the high variability and ...
Hacker

Predicting Jet Engine Failure with Python and AutoML

Dippu is a strategic Data & Analytics leader and thought leader in emerging solutions, including Computer Vision and Generative AI/LLMs. Dippu is a strategic Data & Analytics leader and thought leader ...
IEEE

Generating and Predicting Output Perturbations in Image Segmenters

Abstract: Image segmentation applications are a core component of safety-critical autonomous software pipelines. Sensor data input noise can lead to segmentation output corruption that threatens ...
GitHub

[NeurIPS 2025 Spotlight] LaViDa:A Large Diffusion Language Model for Multimodal Understanding

Dec 16 2025 We released the preprint and Project Page for Sparse-LaViDa, an efficient optimization technique for training and sampling from unified multi-modal dLLMs based on LaViDa. Oct 2025: We ...