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09/02/2023
Explainability for Large Language Models: A Survey
Large language models (LLMs) have demonstrated impressive capabilities i...
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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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07/07/2023
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs
Learning on Graphs has attracted immense attention due to its wide real-...
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07/06/2023
Theoretical Bounds for the Size of Elementary Trapping Sets by Graphic Methods
Elementary trapping sets (ETSs) are the main culprits for the performanc...
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06/18/2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Link prediction attempts to predict whether an unseen edge exists based ...
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06/04/2023
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval
Passage retrieval is a fundamental task in many information systems, suc...
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06/02/2023
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction
Search engine plays a crucial role in satisfying users' diverse informat...
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05/24/2023
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies
Recently, a new paradigm called Differentiable Search Index (DSI) has be...
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05/17/2023
Unconfounded Propensity Estimation for Unbiased Ranking
The goal of unbiased learning to rank (ULTR) is to leverage implicit use...
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05/16/2023
Boosting Event Extraction with Denoised Structure-to-Text Augmentation
Event extraction aims to recognize pre-defined event triggers and argume...
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05/04/2023
Disentangled Contrastive Collaborative Filtering
Recent studies show that graph neural networks (GNNs) are prevalent to m...
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04/19/2023
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Large Language Models (LLMs) have demonstrated a remarkable ability to g...
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04/09/2023
Learning to Tokenize for Generative Retrieval
Conventional document retrieval techniques are mainly based on the index...
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03/24/2023
An Optimization Model for Offline Scheduling Policy of Low-density Parity-check Codes
In this study, an optimization model for offline scheduling policy of lo...
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03/11/2023
User Retention-oriented Recommendation with Decision Transformer
Improving user retention with reinforcement learning (RL) has attracted ...
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01/28/2023
Layout-aware Webpage Quality Assessment
Identifying high-quality webpages is fundamental for real-world search e...
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12/11/2022
Feature-Level Debiased Natural Language Understanding
Natural language understanding (NLU) models often rely on dataset biases...
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11/11/2022
PILE: Pairwise Iterative Logits Ensemble for Multi-Teacher Labeled Distillation
Pre-trained language models have become a crucial part of ranking system...
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10/19/2022
Whole Page Unbiased Learning to Rank
The page presentation biases in the information retrieval system, especi...
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10/18/2022
CPS-MEBR: Click Feedback-Aware Web Page Summarization for Multi-Embedding-Based Retrieval
Embedding-based retrieval (EBR) is a technique to use embeddings to repr...
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08/16/2022
Approximated Doubly Robust Search Relevance Estimation
Extracting query-document relevance from the sparse, biased clickthrough...
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07/24/2022
Model-based Unbiased Learning to Rank
Unbiased Learning to Rank (ULTR) that learns to rank documents with bias...
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07/14/2022
Factorized and Controllable Neural Re-Rendering of Outdoor Scene for Photo Extrapolation
Expanding an existing tourist photo from a partially captured scene to a...
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07/07/2022
A Large Scale Search Dataset for Unbiased Learning to Rank
The unbiased learning to rank (ULTR) problem has been greatly advanced b...
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06/25/2022
Geometry Contrastive Learning on Heterogeneous Graphs
Self-supervised learning (especially contrastive learning) methods on he...
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05/21/2022
Are Graph Neural Networks Really Helpful for Knowledge Graph Completion?
Knowledge graphs (KGs) facilitate a wide variety of applications due to ...
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05/18/2022
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval
Neural retrievers based on pre-trained language models (PLMs), such as d...
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04/26/2022
Hypergraph Contrastive Collaborative Filtering
Collaborative Filtering (CF) has emerged as fundamental paradigms for pa...
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04/25/2022
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking
Passage re-ranking is to obtain a permutation over the candidate passage...
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04/03/2022
Graph Enhanced BERT for Query Understanding
Query understanding plays a key role in exploring users' search intents ...
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03/31/2022
Sequential Recommendation with User Evolving Preference Decomposition
Modeling user sequential behaviors has recently attracted increasing att...
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02/17/2022
Contrastive Meta Learning with Behavior Multiplicity for Recommendation
A well-informed recommendation framework could not only help users ident...
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12/06/2021
User behavior understanding in real world settings
How to extract meaningful information in user historical behavior plays ...
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12/06/2021
Gumble Softmax For User Behavior Modeling
Recently, sequential recommendation systems are important in solving the...
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10/08/2021
Global Context Enhanced Social Recommendation with Hierarchical Graph Neural Networks
Social recommendation which aims to leverage social connections among us...
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09/06/2021
Exposing Length Divergence Bias of Textual Matching Models
Despite the remarkable success deep models have achieved in Textual Matc...
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06/19/2021
Enhancing Question Generation with Commonsense Knowledge
Question generation (QG) is to generate natural and grammatical question...
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06/07/2021
Pre-trained Language Model for Web-scale Retrieval in Baidu Search
Retrieval is a crucial stage in web search that identifies a small set o...
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05/28/2021
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation
Post-click conversion, as a strong signal indicating the user preference...
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05/24/2021
Pre-trained Language Model based Ranking in Baidu Search
As the heart of a search engine, the ranking system plays a crucial role...
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05/04/2021
Data-Efficient Reinforcement Learning for Malaria Control
Sequential decision-making under cost-sensitive tasks is prohibitively d...
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02/17/2021
First Target and Opinion then Polarity: Enhancing Target-opinion Correlation for Aspect Sentiment Triplet Extraction
Aspect Sentiment Triplet Extraction (ASTE) aims to extract triplets from...
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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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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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07/04/2020
Neural Interactive Collaborative Filtering
In this paper, we study collaborative filtering in an interactive settin...
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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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04/06/2020
Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight
Current state-of-the-art neural dialogue models learn from human convers...
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03/04/2020
Posterior-GAN: Towards Informative and Coherent Response Generation with Posterior Generative Adversarial Network
Neural conversational models learn to generate responses by taking into ...
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03/02/2020
Learning from Easy to Complex: Adaptive Multi-curricula Learning for Neural Dialogue Generation
Current state-of-the-art neural dialogue systems are mainly data-driven ...
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01/18/2020
