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05/24/2023
LLMDet: A Large Language Models Detection Tool
With the advancement of generative language models, the generated text h...
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05/22/2023
MacLaSa: Multi-Aspect Controllable Text Generation via Efficient Sampling from Compact Latent Space
Multi-aspect controllable text generation aims to generate fluent senten...
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05/18/2023
SimOAP: Improve Coherence and Consistency in Persona-based Dialogue Generation via Over-sampling and Post-evaluation
Language models trained on large-scale corpora can generate remarkably f...
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05/18/2023
BERM: Training the Balanced and Extractable Representation for Matching to Improve Generalization Ability of Dense Retrieval
Dense retrieval has shown promise in the first-stage retrieval process w...
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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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04/28/2023
Search-in-the-Chain: Towards Accurate, Credible and Traceable Large Language Models for Knowledge-intensive Tasks
With the wide application of Large Language Models (LLMs) such as ChatGP...
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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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12/01/2022
NIR-Prompt: A Multi-task Generalized Neural Information Retrieval Training Framework
Information retrieval aims to find information that meets users' needs f...
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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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04/06/2022
Improving Multi-task Generalization Ability for Neural Text Matching via Prompt Learning
Text matching is a fundamental technique in both information retrieval a...
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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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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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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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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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11/26/2020
Transformation Driven Visual Reasoning
This paper defines a new visual reasoning paradigm by introducing an imp...
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10/15/2020
Wasserstein Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains
One approach to matching texts from asymmetrical domains is projecting t...
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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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08/13/2020
Ranking Enhanced Dialogue Generation
How to effectively utilize the dialogue history is a crucial problem in ...
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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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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
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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03/16/2019
A Deep Look into Neural Ranking Models for Information Retrieval
Ranking models lie at the heart of research on information retrieval (IR...
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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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12/18/2018
Continual Match Based Training in Pommerman: Technical Report
Continual learning is the ability of agents to improve their capacities ...
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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
MatchZoo: A Toolkit for Deep Text Matching
In recent years, deep neural models have been widely adopted for text ma...
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04/15/2016
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN
Semantic matching, which aims to determine the matching degree between t...
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02/20/2016
Text Matching as Image Recognition
Matching two texts is a fundamental problem in many natural language pro...
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11/26/2015
