Education
WenMind: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Classical Literature and Language Arts
Large Language Models (LLMs) have made significant advancements across numerous domains, but their capabilities in Chinese Classical Literature and Language Arts (CCLLA) remain largely unexplored due to the limited scope and tasks of existing benchmarks. To fill this gap, we propose WenMind, a comprehensive benchmark dedicated for evaluating LLMs in CCLLA.
Fast Proxy Experiment Design for Causal Effect Identification
Identifying causal effects is a key problem of interest across many disciplines. The two long-standing approaches to estimate causal effects are observational and experimental (randomized) studies.
Fast TRAC: A Parameter-Free Optimizer for Lifelong Reinforcement Learning
When Spot tries to walk across a sandy beach or on ice, the challenges multiply, and her once-steady walk becomes erratic.
Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
This raises a challenging research question: How can we keep improving the systems when their capabilities have surpassed the levels of humans?
dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans
Key attributes (cf. Figure 1) include the challenging task of classifying doppelganger animals,
MMScan: A Multi-Modal 3D Scene Dataset with Hierarchical Grounded Language Annotations
Built upon existing 3D scanning data, the resulting multi-modal 3D dataset encompasses 1.4M