Search Results for author:
Found 4 papers, 4 papers with code
Transformers are Expressive, But Are They Expressive Enough for Regression?
Expressivity of a neural network is the class of functions it can approximate.
Leveraging Domain Knowledge for Efficient Reward Modelling in RLHF: A Case-Study in E-Commerce Opinion Summarization
While this strategy has proven effective, the training methodology requires a lot of human preference annotation (usually in the order of tens of thousands) to train $\varphi$.
One Prompt To Rule Them All: LLMs for Opinion Summary Evaluation
Evaluation of opinion summaries using conventional reference-based metrics rarely provides a holistic evaluation and has been shown to have a relatively low correlation with human judgments.
Reinforcement Replaces Supervision: Query focused Summarization using Deep Reinforcement Learning
Query-focused Summarization (QfS) deals with systems that generate summaries from document(s) based on a query.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
