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09/11/2023
DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning
Prompt tuning (PT), where a small amount of trainable soft (continuous) ...
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08/30/2023
Application of Zone Method based Machine Learning and Physics-Informed Neural Networks in Reheating Furnaces
Despite the high economic relevance of Foundation Industries, certain co...
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06/16/2023
Unlocking the Potential of User Feedback: Leveraging Large Language Model as User Simulator to Enhance Dialogue System
Dialogue systems and large language models (LLMs) have gained considerab...
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06/13/2023
Rethink the Effectiveness of Text Data Augmentation: An Empirical Analysis
In recent years, language models (LMs) have made remarkable progress in ...
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05/23/2023
Towards Asking Clarification Questions for Information Seeking on Task-Oriented Dialogues
Task-oriented dialogue systems aim at providing users with task-specific...
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05/02/2023
Don't Stop Pretraining? Make Prompt-based Fine-tuning Powerful Learner
Language models (LMs) trained on vast quantities of unlabelled data have...
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10/05/2022
Attention-based Ingredient Phrase Parser
As virtual personal assistants have now penetrated the consumer market, ...
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04/18/2022
Learning to Execute Actions or Ask Clarification Questions
Collaborative tasks are ubiquitous activities where a form of communicat...
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04/18/2022
StepGame: A New Benchmark for Robust Multi-Hop Spatial Reasoning in Texts
Inferring spatial relations in natural language is a crucial ability an ...
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04/14/2022
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
Dialogue State Tracking (DST) aims to keep track of users' intentions du...
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10/17/2021
Towards More Accountable Search Engines: Online Evaluation of Representation Bias
Information availability affects people's behavior and perception of the...
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01/18/2021
Mitigating the Position Bias of Transformer Models in Passage Re-Ranking
Supervised machine learning models and their evaluation strongly depends...
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10/22/2020
A Multilinear Sampling Algorithm to Estimate Shapley Values
Shapley values are great analytical tools in game theory to measure the ...
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06/08/2020
A Baseline for Shapely Values in MLPs: from Missingness to Neutrality
Being able to explain a prediction as well as having a model that perfor...
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05/31/2020
Predicting Engagement in Video Lectures
The explosion of Open Educational Resources (OERs) in the recent years c...
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07/17/2019
