198 citations · 1.3k across the 62 of their papers we have counts for
11 papers · 1 filter
Dynamic-K Recommendation with Personalized Decision Boundary
Yan Gao, Jiafeng Guo, Yanyan Lan +1
In this paper, we investigate the recommendation task in the most common scenario with implicit feedback (e.g., clicks, purchases). State-of-the-art methods in this direction usual…
Transformation Driven Visual Reasoning
Xin Hong, Yanyan Lan, Liang Pang +2
This paper defines a new visual reasoning paradigm by introducing an important factor, i.e.~transformation. The motivation comes from the fact that most existing visual reasoning t…
Beyond Language: Learning Commonsense from Images for Reasoning
Wanqing Cui, Yanyan Lan, Liang Pang +2
This paper proposes a novel approach to learn commonsense from images, instead of limited raw texts or costly constructed knowledge bases, for the commonsense reasoning problem in…
Query Understanding via Intent Description Generation
Ruqing Zhang, Jiafeng Guo, Yixing Fan +2
Query understanding is a fundamental problem in information retrieval (IR), which has attracted continuous attention through the past decades. Many different tasks have been propos…
Continual Domain Adaptation for Machine Reading Comprehension
Lixin Su, Jiafeng Guo, Ruqing Zhang +3
Machine reading comprehension (MRC) has become a core component in a variety of natural language processing (NLP) applications such as question answering and dialogue systems. It b…
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
Jianing Li, Yanyan Lan, Jiafeng Guo +1
The goal of text generation models is to fit the underlying real probability distribution of text. For performance evaluation, quality and diversity metrics are usually applied. Ho…
Ranking Enhanced Dialogue Generation
Changying Hao, Liang Pang, Yanyan Lan +3
How to effectively utilize the dialogue history is a crucial problem in multi-turn dialogue generation. Previous works usually employ various neural network architectures (e.g., re…
Match: A Matching over Matching Model for Similar Question Identification
Zizhen Wang, Yixing Fan, Jiafeng Guo +6
Community Question Answering (CQA) has become a primary means for people to acquire knowledge, where people are free to ask questions or submit answers. To enhance the efficiency o…
Robust Reinforcement Learning with Wasserstein Constraint
Linfang Hou, Liang Pang, Xin Hong +3
Robust Reinforcement Learning aims to find the optimal policy with some extent of robustness to environmental dynamics. Existing learning algorithms usually enable the robustness t…
L2R2: Leveraging Ranking for Abductive Reasoning
Yunchang Zhu, Liang Pang, Yanyan Lan +1
The abductive natural language inference task (NLI) is proposed to evaluate the abductive reasoning ability of a learning system. In the NLI task, two observations are given…
On Layer Normalization in the Transformer Architecture
Ruibin Xiong, Yunchang Yang, Di He +7
The Transformer is widely used in natural language processing tasks. To train a Transformer however, one usually needs a carefully designed learning rate warm-up stage, which is sh…