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07/20/2023
Fractional Denoising for 3D Molecular Pre-training
Coordinate denoising is a promising 3D molecular pre-training method, wh...
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07/19/2023
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community
The research field of Information Retrieval (IR) has evolved significant...
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07/12/2023
Unified Molecular Modeling via Modality Blending
Self-supervised molecular representation learning is critical for molecu...
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05/03/2023
Visual Transformation Telling
In this paper, we propose a new visual reasoning task, called Visual Tra...
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05/02/2023
Visual Reasoning: from State to Transformation
Most existing visual reasoning tasks, such as CLEVR in VQA, ignore an im...
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01/29/2023
Multi-video Moment Ranking with Multimodal Clue
Video corpus moment retrieval (VCMR) is the task of retrieving a relevan...
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01/10/2023
Cross-Model Comparative Loss for Enhancing Neuronal Utility in Language Understanding
Current natural language understanding (NLU) models have been continuous...
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06/29/2022
When Does Group Invariant Learning Survive Spurious Correlations?
By inferring latent groups in the training data, recent works introduce ...
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04/25/2022
LoL: A Comparative Regularization Loss over Query Reformulation Losses for Pseudo-Relevance Feedback
Pseudo-relevance feedback (PRF) has proven to be an effective query refo...
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11/07/2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods
Ensemble-based debiasing methods have been shown effective in mitigating...
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10/22/2021
Adaptive Bridge between Training and Inference for Dialogue
Although exposure bias has been widely studied in some NLP tasks, it fac...
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10/11/2021
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types
In the genome biology research, regulatory genome modeling is an importa...
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09/22/2021
FCM: A Fine-grained Comparison Model for Multi-turn Dialogue Reasoning
Despite the success of neural dialogue systems in achieving high perform...
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09/16/2021
Transductive Learning for Unsupervised Text Style Transfer
Unsupervised style transfer models are mainly based on an inductive lear...
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09/14/2021
Adaptive Information Seeking for Open-Domain Question Answering
Information seeking is an essential step for open-domain question answer...
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08/16/2021
Toward the Understanding of Deep Text Matching Models for Information Retrieval
Semantic text matching is a critical problem in information retrieval. R...
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07/18/2021
A Discriminative Semantic Ranker for Question Retrieval
Similar question retrieval is a core task in community-based question an...
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04/02/2021
Sketch and Customize: A Counterfactual Story Generator
Recent text generation models are easy to generate relevant and fluent t...
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03/02/2021
Probing Product Description Generation via Posterior Distillation
In product description generation (PDG), the user-cared aspect is critic...
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03/01/2021
A Linguistic Study on Relevance Modeling in Information Retrieval
Relevance plays a central role in information retrieval (IR), which has ...
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02/25/2021
Learning to Truncate Ranked Lists for Information Retrieval
Ranked list truncation is of critical importance in a variety of profess...
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02/16/2021
User-Inspired Posterior Network for Recommendation Reason Generation
Recommendation reason generation, aiming at showing the selling points o...
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01/16/2021
Match-Ignition: Plugging PageRank into Transformer for Long-form Text Matching
Semantic text matching models have been widely used in community questio...
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12/25/2020
Dynamic-K Recommendation with Personalized Decision Boundary
In this paper, we investigate the recommendation task in the most common...
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11/26/2020
Transformation Driven Visual Reasoning
This paper defines a new visual reasoning paradigm by introducing an imp...
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10/10/2020
Beyond Language: Learning Commonsense from Images for Reasoning
This paper proposes a novel approach to learn commonsense from images, i...
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09/27/2020
Modeling Topical Relevance for Multi-Turn Dialogue Generation
Topic drift is a common phenomenon in multi-turn dialogue. Therefore, an...
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08/25/2020
Query Understanding via Intent Description Generation
Query understanding is a fundamental problem in information retrieval (I...
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08/25/2020
Continual Domain Adaptation for Machine Reading Comprehension
Machine reading comprehension (MRC) has become a core component in a var...
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08/13/2020
Ranking Enhanced Dialogue Generation
How to effectively utilize the dialogue history is a crucial problem in ...
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07/03/2020
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
The goal of text generation models is to fit the underlying real probabi...
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06/21/2020
Match^2: A Matching over Matching Model for Similar Question Identification
Community Question Answering (CQA) has become a primary means for people...
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06/01/2020
Robust Reinforcement Learning with Wasserstein Constraint
Robust Reinforcement Learning aims to find the optimal policy with some ...
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05/22/2020
L2R2: Leveraging Ranking for Abductive Reasoning
The abductive natural language inference task (αNLI) is proposed to eval...
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02/12/2020
On Layer Normalization in the Transformer Architecture
The Transformer is widely used in natural language processing tasks. To ...
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12/12/2019
SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval
In learning-to-rank for information retrieval, a ranking model is automa...
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07/09/2019
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile
Chinese input recommendation plays an important role in alleviating huma...
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07/09/2019
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
In multi-turn dialogue generation, response is usually related with only...
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05/24/2019
Controlling Risk of Web Question Answering
Web question answering (QA) has become an dispensable component in moder...
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05/24/2019
Outline Generation: Understanding the Inherent Content Structure of Documents
In this paper, we introduce and tackle the Outline Generation (OG) task,...
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01/12/2019
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering
This paper is concerned with open-domain question answering (i.e., OpenQ...
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06/28/2018
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations
Vocabulary mismatch is a central problem in information retrieval (IR), ...
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05/15/2018
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval
Assessing relevance between a query and a document is challenging in ad-...
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04/29/2018
A Tree Search Algorithm for Sequence Labeling
In this paper we propose a novel reinforcement learning based model for ...
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04/29/2018
Sequence Tagging with Policy-Value Networks and Tree Search
In this paper we propose a novel reinforcement learning based model for ...
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04/22/2018
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server
One of the most significant bottleneck in training large scale machine l...
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11/22/2017
Locally Smoothed Neural Networks
Convolutional Neural Networks (CNN) and the locally connected layer are ...
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10/19/2017
Learning Visual Features from Snapshots for Web Search
When applying learning to rank algorithms to Web search, a large number ...
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10/16/2017
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval
This paper concerns a deep learning approach to relevance ranking in inf...
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07/23/2017