Rethinking Diverse Human Preference Learning through Principal Component Analysis Paper • 2502.13131 • Published 5 days ago • 34
Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design Paper • 2311.00462 • Published Nov 1, 2023
Offline Meta Reinforcement Learning with In-Distribution Online Adaptation Paper • 2305.19529 • Published May 31, 2023
Symmetry-Aware Robot Design with Structured Subgroups Paper • 2306.00036 • Published May 31, 2023 • 2
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published 10 days ago • 32
EmbodiedBench: Comprehensive Benchmarking Multi-modal Large Language Models for Vision-Driven Embodied Agents Paper • 2502.09560 • Published 10 days ago • 32
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Paper • 2411.00836 • Published Oct 29, 2024 • 15
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models Paper • 2411.00836 • Published Oct 29, 2024 • 15
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Paper • 2310.12955 • Published Oct 19, 2023 • 1
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment Paper • 2402.10207 • Published Feb 15, 2024 • 2
Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs Paper • 2406.10216 • Published Jun 14, 2024 • 2