SureMap: Simultaneous Mean Estimation for Single-Task and Multi-Task Disaggregated Evaluationby Mikhail Khodak, Lester Mackey, Alexandra…
Dynamic technology impact analysis: A multi-task learning approach to patent citation predictionby Youngjin Seol, Jaewoong…
Online Parallel Multi-Task Relationship Learning via Alternating Direction Method of Multipliersby Ruiyu Li, Peilin Zhao,…
NeKo: Toward Post Recognition Generative Correction Large Language Models with Task-Oriented Expertsby Yen-Ting Lin, Chao-Han…
Towards Multi-Modal Mastery: A 4.5B Parameter Truly Multi-Modal Small Language Modelby Ben Koska, Mojmír HorváthFirst…
Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learningby Zhiyu Shao, Qiong Wu, Pingyi…
ATM: Improving Model Merging by Alternating Tuning and Mergingby Luca Zhou, Daniele Solombrino, Donato Crisostomi,…
Geometry of naturalistic object representations in recurrent neural network models of working memoryby Xiaoxuan Lei,…
Task-Aware Harmony Multi-Task Decision Transformer for Offline Reinforcement Learningby Ziqing Fan, Shengchao Hu, Yuhang Zhou,…
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detectionby Zihang Qiu, Chaojie…