AI
Time Series Forecasting via Reasoning: A Slow-Thinking Approach with Reinforcement Fine-Tuned LLMs
Researchers propose a new approach to time series forecasting called Time-R1. This method uses reinf...
AI
Mission-Aligned Learning-Informed Control of Autonomous Systems: Formulation and Foundations
Researchers from various institutions have proposed a framework for controlling autonomous systems. ...
AI
MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora
Researchers have developed a new framework called MixLoRA-DSI to improve generative retrieval over d...
AI
Text-ADBench: Text Anomaly Detection Benchmark Based on LLM Embeddings
Researchers have developed Text-ADBench, a benchmark for evaluating text anomaly detection methods. ...
AI
RetroDFM-R: Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning
Researchers have developed a new AI model called RetroDFM-R for predicting chemi...
AI
TELEVAL: A Benchmark Designed for Spoken Language Models in Chinese Interactive Scenarios
Researchers have created a new benchmark called TELEVAL to evaluate Spoken Langu...
AI
Entity Representation Learning Through Onsite-Offsite Graph for Pinterest Ads
Researchers from Pinterest and other institutions have developed a new method fo...
AI
From Isolation to Alignment: Unified LoRA for Efficient Multi-Task Learning
Researchers have proposed a new framework called Align-LoRA that simplifies the ...