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09/13/2023
Statistical Rejection Sampling Improves Preference Optimization
Improving the alignment of language models with human preferences remain...
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05/17/2023
SLiC-HF: Sequence Likelihood Calibration with Human Feedback
Learning from human feedback has been shown to be effective at aligning ...
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09/30/2022
Calibrating Sequence likelihood Improves Conditional Language Generation
Conditional language models are predominantly trained with maximum likel...
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03/15/2022
Unsupervised Keyphrase Extraction via Interpretable Neural Networks
Keyphrase extraction aims at automatically extracting a list of "importa...
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06/02/2021
DialoGraph: Incorporating Interpretable Strategy-Graph Networks into Negotiation Dialogues
To successfully negotiate a deal, it is not enough to communicate fluent...
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01/26/2021
RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations
Modelling persuasion strategies as predictors of task outcome has severa...
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09/22/2020
Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions
The notion of face refers to the public self-image of an individual that...
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08/11/2020
LTIatCMU at SemEval-2020 Task 11: Incorporating Multi-Level Features for Multi-Granular Propaganda Span Identification
In this paper we describe our submission for the task of Propaganda Span...
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05/01/2020
MedType: Improving Medical Entity Linking with Semantic Type Prediction
Medical entity linking is the task of identifying and standardizing conc...
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12/04/2019
AMUSED: A Multi-Stream Vector Representation Method for Use in Natural Dialogue
The problem of building a coherent and non-monotonous conversational age...
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12/11/2018
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Distantly-supervised Relation Extraction (RE) methods train an extractor...
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12/07/2018
