
Title |
|---|
![]() LIV: Language-Image Representations and Rewards for Robotic ControlInternational Conference on Machine Learning (ICML), 2023 |
![]() Language Models Implement Simple Word2Vec-style Vector ArithmeticNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
![]() Transferring Learning Trajectories of Neural NetworksInternational Conference on Learning Representations (ICLR), 2023 |
![]() Detecting and Mitigating Hallucinations in Multilingual SummarisationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() Editing Large Language Models: Problems, Methods, and OpportunitiesConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() Task Arithmetic in the Tangent Space: Improved Editing of Pre-Trained
ModelsNeural Information Processing Systems (NeurIPS), 2023 |
![]() ZipIt! Merging Models from Different Tasks without TrainingInternational Conference on Learning Representations (ICLR), 2023 |
![]() An Empirical Study of Multimodal Model MergingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() Elastic Weight Removal for Faithful and Abstractive Dialogue GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2023 |
![]() SVDiff: Compact Parameter Space for Diffusion Fine-TuningIEEE International Conference on Computer Vision (ICCV), 2023 |
![]() Merging Decision Transformers: Weight Averaging for Forming Multi-Task
PoliciesIEEE International Conference on Robotics and Automation (ICRA), 2023 |
![]() Robust Weight Signatures: Gaining Robustness as Easy as Patching
Weights?International Conference on Machine Learning (ICML), 2023 |
![]() Knowledge is a Region in Weight Space for Fine-tuned Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 |
![]() Exploring the Benefits of Training Expert Language Models over
Instruction TuningInternational Conference on Machine Learning (ICML), 2023 |
![]() Model Ratatouille: Recycling Diverse Models for Out-of-Distribution
GeneralizationInternational Conference on Machine Learning (ICML), 2022 |
![]() Learning useful representations for shifting tasks and distributionsInternational Conference on Machine Learning (ICML), 2022 |
![]() ColD Fusion: Collaborative Descent for Distributed Multitask FinetuningAnnual Meeting of the Association for Computational Linguistics (ACL), 2022 |
![]() Sufficient Invariant Learning for Distribution ShiftComputer Vision and Pattern Recognition (CVPR), 2022 |