11 citations · 11 across the 2 of their papers we have counts for
4 papers · 1 filter
Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
Siqi Shen, Lajanugen Logeswaran, Moontae Lee +3
Large language models (LLMs) have demonstrated substantial commonsense understanding through numerous benchmark evaluations. However, their understanding of cultural commonsense re…
Few-shot Subgoal Planning with Language Models
Lajanugen Logeswaran, Yao Fu, Moontae Lee +1
Pre-trained large language models have shown successful progress in many language understanding benchmarks. This work explores the capability of these models to predict actionable…
Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models
Moontae Lee, David Bindel, David Mimno
Spectral topic modeling algorithms operate on matrices/tensors of word co-occurrence statistics to learn topic-specific word distributions. This approach removes the dependence on…
Low-dimensional Embeddings for Interpretable Anchor-based Topic Inference
Moontae Lee, David Mimno
The anchor words algorithm performs provably efficient topic model inference by finding an approximate convex hull in a high-dimensional word co-occurrence space. However, the exis…