Preserving Pre-trained Representation Space: On Effectiveness of Prefix-tuning for Large Multi-modal Modelsby Donghoon Kim, Gusang…
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformersby Kai Yan, Alexander G. Schwing,…
Conformalized Prediction of Post-Fault Voltage Trajectories Using Pre-trained and Finetuned Attention-Driven Neural Operatorsby Amirhossein Mollaali,…
SelfCodeAlign: Self-Alignment for Code Generationby Yuxiang Wei, Federico Cassano, Jiawei Liu, Yifeng Ding, Naman Jain,…
In-Context Fine-Tuning for Time-Series Foundation Modelsby Abhimanyu Das, Matthew Faw, Rajat Sen, Yichen ZhouFirst submitted…
Progressive Safeguards for Safe and Model-Agnostic Reinforcement Learningby Nabil Omi, Hosein Hasanbeig, Hiteshi Sharma, Sriram…
Enhancing Chess Reinforcement Learning with Graph Representationby Tomas Rigaux, Hisashi KashimaFirst submitted to arxiv on:…
What is Wrong with Perplexity for Long-context Language Modeling?by Lizhe Fang, Yifei Wang, Zhaoyang Liu,…
RAGraph: A General Retrieval-Augmented Graph Learning Frameworkby Xinke Jiang, Rihong Qiu, Yongxin Xu, Wentao Zhang,…
FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributionsby Anuroop Sriram,…