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Found 5 papers, 3 papers with code
NeuroComparatives: Neuro-Symbolic Distillation of Comparative Knowledge
We introduce NeuroComparatives, a novel framework for comparative knowledge distillation overgenerated from language models such as GPT-variants and LLaMA, followed by stringent filtering of the generated knowledge.
Thrill-K Architecture: Towards a Solution to the Problem of Knowledge Based Understanding
While end-to-end learning systems are rapidly gaining capabilities and popularity, the increasing computational demands for deploying such systems, along with a lack of flexibility, adaptability, explainability, reasoning and verification capabilities, require new types of architectures.
NeuroCounterfactuals: Beyond Minimal-Edit Counterfactuals for Richer Data Augmentation
While counterfactual data augmentation offers a promising step towards robust generalization in natural language processing, producing a set of counterfactuals that offer valuable inductive bias for models remains a challenge.
Cross-Domain Aspect Extraction using Transformers Augmented with Knowledge Graphs
The extraction of aspect terms is a critical step in fine-grained sentiment analysis of text.
InterpreT: An Interactive Visualization Tool for Interpreting Transformers
With the increasingly widespread use of Transformer-based models for NLU/NLP tasks, there is growing interest in understanding the inner workings of these models, why they are so effective at a wide range of tasks, and how they can be further tuned and improved.
Aspect-Based Sentiment Analysis
Aspect-Based Sentiment Analysis (ABSA)
