On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective Paper • 2502.14296 • Published 4 days ago • 42
Decodable and Sample Invariant Continuous Object Encoder Paper • 2311.00187 • Published Oct 31, 2023 • 1
MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences Paper • 2402.08925 • Published Feb 14, 2024 • 1
AutoDAN: Interpretable Gradient-Based Adversarial Attacks on Large Language Models Paper • 2310.15140 • Published Oct 23, 2023 • 1
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL Paper • 2310.07220 • Published Oct 11, 2023 • 1
Mementos: A Comprehensive Benchmark for Multimodal Large Language Model Reasoning over Image Sequences Paper • 2401.10529 • Published Jan 19, 2024 • 1
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification Paper • 2311.08648 • Published Nov 15, 2023 • 2
DrM: Mastering Visual Reinforcement Learning through Dormant Ratio Minimization Paper • 2310.19668 • Published Oct 30, 2023 • 3
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning Paper • 2306.13229 • Published Jun 22, 2023 • 3
Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy Paper • 2207.12141 • Published Jul 25, 2022
Is Model Ensemble Necessary? Model-based RL via a Single Model with Lipschitz Regularized Value Function Paper • 2302.01244 • Published Feb 2, 2023
Benchmarking the Robustness of Image Watermarks Paper • 2401.08573 • Published Jan 16, 2024 • 1
PRISE: Learning Temporal Action Abstractions as a Sequence Compression Problem Paper • 2402.10450 • Published Feb 16, 2024 • 1
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning Paper • 2308.02585 • Published Aug 3, 2023
Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies Paper • 2402.12673 • Published Feb 20, 2024
Rethinking Adversarial Policies: A Generalized Attack Formulation and Provable Defense in RL Paper • 2305.17342 • Published May 27, 2023
Game-Theoretic Robust Reinforcement Learning Handles Temporally-Coupled Perturbations Paper • 2307.12062 • Published Jul 22, 2023
Reviving Shift Equivariance in Vision Transformers Paper • 2306.07470 • Published Jun 13, 2023 • 1
Premier-TACO: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss Paper • 2402.06187 • Published Feb 9, 2024 • 11