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07/26/2023
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences
Traditional recommender systems leverage users' item preference history ...
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03/14/2023
Simfluence: Modeling the Influence of Individual Training Examples by Simulating Training Runs
Training data attribution (TDA) methods offer to trace a model's predict...
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02/13/2023
Gradient-Based Automated Iterative Recovery for Parameter-Efficient Tuning
Pretrained large language models (LLMs) are able to solve a wide variety...
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02/13/2023
Towards Agile Text Classifiers for Everyone
Text-based safety classifiers are widely used for content moderation and...
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02/01/2023
KNNs of Semantic Encodings for Rating Prediction
This paper explores a novel application of textual semantic similarity t...
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08/05/2022
Basic Elements of Logical Graphs
We considers how a particular kind of graph corresponds to multiplicativ...
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06/17/2022
Beyond Rewards: a Hierarchical Perspective on Offline Multiagent Behavioral Analysis
Each year, expert-level performance is attained in increasingly-complex ...
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05/19/2022
On Natural Language User Profiles for Transparent and Scrutable Recommendation
Natural interaction with recommendation and personalized search systems ...
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12/13/2021
GLaM: Efficient Scaling of Language Models with Mixture-of-Experts
Scaling language models with more data, compute and parameters has drive...
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11/19/2021
Toxicity Detection can be Sensitive to the Conversational Context
User posts whose perceived toxicity depends on the conversational contex...
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09/20/2021
Augmenting the User-Item Graph with Textual Similarity Models
This paper introduces a simple and effective form of data augmentation f...
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02/01/2021
Civil Rephrases Of Toxic Texts With Self-Supervised Transformers
Platforms that support online commentary, from social networks to news s...
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10/14/2020
Six Attributes of Unhealthy Conversation
We present a new dataset of approximately 44000 comments labeled by crow...
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06/01/2020
Toxicity Detection: Does Context Really Matter?
Moderation is crucial to promoting healthy on-line discussions. Although...
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04/11/2020
Classifying Constructive Comments
We introduce the Constructive Comments Corpus (C3), comprised of 12,000 ...
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03/11/2019
Nuanced Metrics for Measuring Unintended Bias with Real Data for Text Classification
Unintended bias in Machine Learning can manifest as systemic differences...
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03/05/2019
Limitations of Pinned AUC for Measuring Unintended Bias
This report examines the Pinned AUC metric introduced and highlights som...
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10/31/2018
WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community
We present a corpus that encompasses the complete history of conversatio...
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05/14/2018
Conversations Gone Awry: Detecting Early Signs of Conversational Failure
One of the main challenges online social systems face is the prevalence ...
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10/27/2016