Efficient Stagewise Pretraining via Progressive Subnetworks
The paper discusses the limitations of current stagewise pretraining methods for large language models and proposes a…
WebLINX: Real-World Website Navigation with Multi-Turn Dialogue
The article introduces WEBLINX, a large-scale benchmark for conversational web navigation. It covers a broad range of…
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting
The article presents a novel method for time series forecasting, the Sparse Vector Quantized FFN-Free Transformer (Sparse-VQ)….
Let Your Graph Do the Talking: Encoding Structured Data for LLMs
The article introduces a new method called GraphToken to encode structured data for use in large language…
PromptCrypt: Prompt Encryption for Secure Communication with Large Language Models
The article introduces PromptCrypt, a novel encryption mechanism designed to enhance user privacy in cloud-based language models…
Generative Echo Chamber? Effects of LLM-Powered Search Systems on Diverse Information Seeking
The article by Nikhil Sharma, Q. Vera Liao, and Ziang Xiao explores the effects of Large Language…
CREMA: Multimodal Compositional Video Reasoning via Efficient Modular Adaptation and Fusion
The paper proposes CREMA, a new efficient and modular modality-fusion framework for video reasoning. This model enhances…
ClickSAM: Fine-tuning Segment Anything Model using click prompts for ultrasound image segmentation
The newly released Segment Anything Model (SAM) is a popular tool used in image processing due to…
Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games
The paper introduces ‘Risk-Sensitive Multi-Agent Reinforcement Learning in Network Aggregative Markov Games’. It discusses how classical multi-agent…
Driving Everywhere with Large Language Model Policy Adaptation
The article presents LLaDA, a tool that enables autonomous vehicles and human drivers to adapt to different…