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07/25/2023
An Intent Taxonomy of Legal Case Retrieval
Legal case retrieval is a special Information Retrieval (IR) task focusi...
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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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07/01/2023
THUIR2 at NTCIR-16 Session Search (SS) Task
Our team(THUIR2) participated in both FOSS and POSS subtasks of the NTCI...
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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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05/11/2023
THUIR@COLIEE 2023: More Parameters and Legal Knowledge for Legal Case Entailment
This paper describes the approach of the THUIR team at the COLIEE 2023 L...
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05/11/2023
THUIR@COLIEE 2023: Incorporating Structural Knowledge into Pre-trained Language Models for Legal Case Retrieval
Legal case retrieval techniques play an essential role in modern intelli...
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05/09/2023
CaseEncoder: A Knowledge-enhanced Pre-trained Model for Legal Case Encoding
Legal case retrieval is a critical process for modern legal information ...
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04/28/2023
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning
Knowledge-intensive language tasks (KILTs) benefit from retrieving high-...
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04/25/2023
THUIR at WSDM Cup 2023 Task 1: Unbiased Learning to Rank
This paper introduces the approaches we have used to participate in the ...
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04/24/2023
Constructing Tree-based Index for Efficient and Effective Dense Retrieval
Recent studies have shown that Dense Retrieval (DR) techniques can signi...
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04/22/2023
SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval
Legal case retrieval, which aims to find relevant cases for a query case...
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04/07/2023
T2Ranking: A large-scale Chinese Benchmark for Passage Ranking
Passage ranking involves two stages: passage retrieval and passage re-ra...
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02/28/2023
Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank
This paper describes the approach of the THUIR team at the WSDM Cup 2023...
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01/29/2023
Diverse legal case search
In last decades, legal case search has received more and more attention....
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11/01/2022
Efficient AlphaFold2 Training using Parallel Evoformer and Branch Parallelism
The accuracy of AlphaFold2, a frontier end-to-end structure prediction s...
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08/17/2022
Brain Topography Adaptive Network for Satisfaction Modeling in Interactive Information Access System
With the growth of information on the Web, most users heavily rely on in...
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08/16/2022
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks
Knowledge-intensive language tasks (KILT) usually require a large body o...
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08/11/2022
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval
Recent advance in Dense Retrieval (DR) techniques has significantly impr...
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07/12/2022
HelixFold: An Efficient Implementation of AlphaFold2 using PaddlePaddle
Accurate protein structure prediction can significantly accelerate the d...
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06/26/2022
Towards Representation Alignment and Uniformity in Collaborative Filtering
Collaborative filtering (CF) plays a critical role in the development of...
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04/25/2022
Evaluating Extrapolation Performance of Dense Retrieval
A retrieval model should not only interpolate the training data but also...
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04/06/2022
ConvSearch: A Open-Domain Conversational Search Behavior Dataset
Conversational Search has been paid much attention recently with the inc...
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04/05/2022
A Survey on Dropout Methods and Experimental Verification in Recommendation
Overfitting is a common problem in machine learning, which means the mod...
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02/08/2022
NxtPost: User to Post Recommendations in Facebook Groups
In this paper, we present NxtPost, a deployed user-to-post content-based...
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11/27/2021
Interpreting Dense Retrieval as Mixture of Topics
Dense Retrieval (DR) reaches state-of-the-art results in first-stage ret...
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11/27/2021
Pre-training Methods in Information Retrieval
The core of information retrieval (IR) is to identify relevant informati...
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10/14/2021
Web Search via an Efficient and Effective Brain-Machine Interface
While search technologies have evolved to be robust and ubiquitous, the ...
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10/12/2021
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval
Dense Retrieval (DR) has achieved state-of-the-art first-stage ranking e...
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09/22/2021
Why Don't You Click: Neural Correlates of Non-Click Behaviors in Web Search
Web search heavily relies on click-through behavior as an essential feed...
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08/03/2021
Understanding Human Reading Comprehension with Brain Signals
Reading comprehension is a complex cognitive process involving many huma...
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08/02/2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance
Recently, Information Retrieval community has witnessed fast-paced advan...
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06/11/2021
A Large-Scale Rich Context Query and Recommendation Dataset in Online Knowledge-Sharing
Data plays a vital role in machine learning studies. In the research of ...
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04/16/2021
Optimizing Dense Retrieval Model Training with Hard Negatives
Ranking has always been one of the top concerns in information retrieval...
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03/27/2021
SelfGait: A Spatiotemporal Representation Learning Method for Self-supervised Gait Recognition
Gait recognition plays a vital role in human identification since gait i...
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12/24/2020
THUIR@COLIEE-2020: Leveraging Semantic Understanding and Exact Matching for Legal Case Retrieval and Entailment
In this paper, we present our methodologies for tackling the challenges ...
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10/20/2020
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently
Ranking has always been one of the top concerns in information retrieval...
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10/14/2020
Practical Deep Raw Image Denoising on Mobile Devices
Deep learning-based image denoising approaches have been extensively stu...
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08/01/2020
An Empirical Study of Clarifying Question-Based Systems
Search and recommender systems that take the initiative to ask clarifyin...
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06/28/2020
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval
Although exact term match between queries and documents is the dominant ...
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04/13/2020
STAS: Adaptive Selecting Spatio-Temporal Deep Features for Improving Bias Correction on Precipitation
Numerical Weather Prediction (NWP) can reduce human suffering by predict...
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10/15/2019
Towards a Precipitation Bias Corrector against Noise and Maldistribution
With broad applications in various public services like aviation managem...
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03/09/2019
Jointly Learning Explainable Rules for Recommendation with Knowledge Graph
Explainability and effectiveness are two key aspects for building recomm...
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09/25/2018
Temporal Relational Ranking for Stock Prediction
Stock prediction aims to predict the future trends of a stock in order t...
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11/27/2017
Why People Search for Images using Web Search Engines
What are the intents or goals behind human interactions with image searc...
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02/11/2015
