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Found 12 papers, 8 papers with code
Beyond Single Items: Exploring User Preferences in Item Sets with the Conversational Playlist Curation Dataset
Users in consumption domains, like music, are often able to more efficiently provide preferences over a set of items (e. g. a playlist or radio) than over single items (e. g. songs).
Talk the Walk: Synthetic Data Generation for Conversational Music Recommendation
This has motivated conversational recommender systems (CRSs), with control provided through natural language feedback.
RARR: Researching and Revising What Language Models Say, Using Language Models
Language models (LMs) now excel at many tasks such as few-shot learning, question answering, reasoning, and dialog.
Dialog Inpainting: Turning Documents into Dialogs
Our approach takes the text of any document and transforms it into a two-person dialog between the writer and an imagined reader: we treat sentences from the article as utterances spoken by the writer, and then use a dialog inpainter to predict what the imagined reader asked or said in between each of the writer's utterances.
Conformal retrofitting via Riemannian manifolds: distilling task-specific graphs into pretrained embeddings
We address these problems with two key contributions: (i) we propose a novel regularizer, a conformality regularizer, that preserves local geometry from the pretrained embeddings---enabling generalization to missing entities and (ii) a new Riemannian feedforward layer that learns to map pre-trained embeddings onto a non-Euclidean manifold that can better represent the entire graph.
Mimic and Rephrase: Reflective Listening in Open-Ended Dialogue
Reflective listening{--}demonstrating that you have heard your conversational partner{--}is key to effective communication.
Textual Analogy Parsing: What's Shared and What's Compared among Analogous Facts
To understand a sentence like "whereas only 10% of White Americans live at or below the poverty line, 28% of African Americans do" it is important not only to identify individual facts, e. g., poverty rates of distinct demographic groups, but also the higher-order relations between them, e. g., the disparity between them.
The price of debiasing automatic metrics in natural language evaluation
For evaluating generation systems, automatic metrics such as BLEU cost nothing to run but have been shown to correlate poorly with human judgment, leading to systematic bias against certain model improvements.
How Much is 131 Million Dollars? Putting Numbers in Perspective with Compositional Descriptions
We then propose a system to generate these descriptions consisting of two steps: formula construction and description generation.
Estimating Mixture Models via Mixtures of Polynomials
This framework allows us to draw insights and apply tools from convex optimization, computer algebra and the theory of moments to study problems in statistical estimation.
Tensor Factorization via Matrix Factorization
Tensor factorization arises in many machine learning applications, such knowledge base modeling and parameter estimation in latent variable models.
Spectral Experts for Estimating Mixtures of Linear Regressions
Discriminative latent-variable models are typically learned using EM or gradient-based optimization, which suffer from local optima.
