World Knowledge
220 papers with code • 0 benchmarks • 1 datasets
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Libraries
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BEAR-probe
Most implemented papers
Teaching Machine Comprehension with Compositional Explanations
INK-USC/nl-explanation
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Findings of the Association for Computational Linguistics 2020
Advances in machine reading comprehension (MRC) rely heavily on the collection of large scale human-annotated examples in the form of (question, paragraph, answer) triples.
Aligning AI With Shared Human Values
hendrycks/ethics
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We show how to assess a language model's knowledge of basic concepts of morality.
ERNIE 3.0: Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation
We trained the model with 10 billion parameters on a 4TB corpus consisting of plain texts and a large-scale knowledge graph.
Towards Continual Knowledge Learning of Language Models
joeljang/continual-knowledge-learning
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ICLR 2022
By highlighting the critical causes of knowledge forgetting, we show that CKL is a challenging and important problem that helps us better understand and train ever-changing LMs.
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks
belindal/taskbench500
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NAACL 2022
When a neural language model (LM) is adapted to perform a new task, what aspects of the task predict the eventual performance of the model?
Style-Hallucinated Dual Consistency Learning for Domain Generalized Semantic Segmentation
helioszhao/shade
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Furthermore, we present a novel style hallucination module (SHM) to generate style-diversified samples that are essential to consistency learning.
PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
PlanBench provides sufficient diversity in both the task domains and the specific planning capabilities.
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
We present the Pathways Autoregressive Text-to-Image (Parti) model, which generates high-fidelity photorealistic images and supports content-rich synthesis involving complex compositions and world knowledge.
PK-Chat: Pointer Network Guided Knowledge Driven Generative Dialogue Model
In the research of end-to-end dialogue systems, using real-world knowledge to generate natural, fluent, and human-like utterances with correct answers is crucial.
LISA: Reasoning Segmentation via Large Language Model
In this work, we propose a new segmentation task -- reasoning segmentation.
