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08/10/2023
Proximal Policy Optimization Actual Combat: Manipulating Output Tokenizer Length
The Reinforcement Learning from Human Feedback (RLHF) plays a pivotal ro...
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02/16/2022
Understanding the Impact of the COVID-19 Pandemic on Transportation-related Behaviors with Human Mobility Data
The constrained outbreak of COVID-19 in Mainland China has recently been...
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08/20/2021
GEDIT: Geographic-Enhanced and Dependency-Guided Tagging for Joint POI and Accessibility Extraction at Baidu Maps
Providing timely accessibility reminders of a point-of-interest (POI) pl...
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08/06/2021
DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features
Image Retrieval is a fundamental task of obtaining images similar to the...
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05/13/2021
Semi-Supervised Variational Reasoning for Medical Dialogue Generation
Medical dialogue generation aims to provide automatic and accurate respo...
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04/29/2019
Logician: A Unified End-to-End Neural Approach for Open-Domain Information Extraction
In this paper, we consider the problem of open information extraction (O...
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06/29/2015
Detecting Table Region in PDF Documents Using Distant Supervision
Superior to state-of-the-art approaches which compete in table recogniti...
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05/10/2015
Probabilistic Belief Embedding for Knowledge Base Completion
This paper contributes a novel embedding model which measures the probab...
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04/07/2015
Large Margin Nearest Neighbor Embedding for Knowledge Representation
Traditional way of storing facts in triplets ( head_entity, relation, ta...
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04/07/2015
Jointly Embedding Relations and Mentions for Knowledge Population
This paper contributes a joint embedding model for predicting relations ...
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03/27/2015
Learning Embedding Representations for Knowledge Inference on Imperfect and Incomplete Repositories
This paper considers the problem of knowledge inference on large-scale i...
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11/17/2014
