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09/14/2023
MMEAD: MS MARCO Entity Annotations and Disambiguations
MMEAD, or MS MARCO Entity Annotations and Disambiguations, is a resource...
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09/10/2023
Unsupervised Chunking with Hierarchical RNN
In Natural Language Processing (NLP), predicting linguistic structures, ...
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08/29/2023
Vector Search with OpenAI Embeddings: Lucene Is All You Need
We provide a reproducible, end-to-end demonstration of vector search wit...
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08/14/2023
Approximating Human-Like Few-shot Learning with GPT-based Compression
In this work, we conceptualize the learning process as information compr...
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07/31/2023
HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution
The rise of large language models (LLMs) had a transformative impact on ...
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07/19/2023
SPRINT: A Unified Toolkit for Evaluating and Demystifying Zero-shot Neural Sparse Retrieval
Traditionally, sparse retrieval systems relied on lexical representation...
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06/13/2023
Resources for Brewing BEIR: Reproducible Reference Models and an Official Leaderboard
BEIR is a benchmark dataset for zero-shot evaluation of information retr...
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06/02/2023
GAIA Search: Hugging Face and Pyserini Interoperability for NLP Training Data Exploration
Noticing the urgent need to provide tools for fast and user-friendly qua...
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05/19/2023
How Does Generative Retrieval Scale to Millions of Passages?
Popularized by the Differentiable Search Index, the emerging paradigm of...
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05/14/2023
SmartProbe: A Virtual Moderator for Market Research Surveys
Market research surveys are a powerful methodology for understanding con...
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05/10/2023
Evaluating Embedding APIs for Information Retrieval
The ever-increasing size of language models curtails their widespread ac...
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05/03/2023
Zero-Shot Listwise Document Reranking with a Large Language Model
Supervised ranking methods based on bi-encoder or cross-encoder architec...
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04/24/2023
Anserini Gets Dense Retrieval: Integration of Lucene's HNSW Indexes
Anserini is a Lucene-based toolkit for reproducible information retrieva...
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04/04/2023
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
This paper presents the AToMiC (Authoring Tools for Multimedia Content) ...
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04/03/2023
Simple Yet Effective Neural Ranking and Reranking Baselines for Cross-Lingual Information Retrieval
The advent of multilingual language models has generated a resurgence of...
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02/28/2023
Spacerini: Plug-and-play Search Engines with Pyserini and Hugging Face
We present Spacerini, a modular framework for seamless building and depl...
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02/15/2023
How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval
Various techniques have been developed in recent years to improve dense ...
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02/13/2023
Improving Out-of-Distribution Generalization of Neural Rerankers with Contextualized Late Interaction
Recent progress in information retrieval finds that embedding query and ...
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02/13/2023
SLIM: Sparsified Late Interaction for Multi-Vector Retrieval with Inverted Indexes
This paper introduces a method called Sparsified Late Interaction for Mu...
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01/17/2023
Which Model Shall I Choose? Cost/Quality Trade-offs for Text Classification Tasks
Industry practitioners always face the problem of choosing the appropria...
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12/27/2022
Building a Culture of Reproducibility in Academic Research
Reproducibility is an ideal that no researcher would dispute "in the abs...
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12/20/2022
Precise Zero-Shot Dense Retrieval without Relevance Labels
While dense retrieval has been shown effective and efficient across task...
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12/19/2022
Less is More: Parameter-Free Text Classification with Gzip
Deep neural networks (DNNs) are often used for text classification tasks...
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12/10/2022
Improving Precancerous Case Characterization via Transformer-based Ensemble Learning
The application of natural language processing (NLP) to cancer pathology...
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11/21/2022
SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale
End-to-end automatic speech recognition systems represent the state of t...
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11/18/2022
CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval
Multi-vector retrieval methods combine the merits of sparse (e.g. BM25) ...
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11/01/2022
On the Interaction Between Differential Privacy and Gradient Compression in Deep Learning
While differential privacy and gradient compression are separately well-...
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10/17/2022
VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks
Real-time 3D mapping is a critical component in many important applicati...
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10/13/2022
Query Expansion Using Contextual Clue Sampling with Language Models
Query expansion is an effective approach for mitigating vocabulary misma...
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10/11/2022
Better Than Whitespace: Information Retrieval for Languages without Custom Tokenizers
Tokenization is a crucial step in information retrieval, especially for ...
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10/10/2022
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
Large-scale diffusion neural networks represent a substantial milestone ...
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07/31/2022
Aggretriever: A Simple Approach to Aggregate Textual Representation for Robust Dense Passage Retrieval
Pre-trained transformers has declared its success in many NLP tasks. One...
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07/31/2022
Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers
There exists a wide variety of efficiency methods for natural language p...
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06/23/2022
Few-Shot Non-Parametric Learning with Deep Latent Variable Model
Most real-world problems that machine learning algorithms are expected t...
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06/20/2022
A Dense Representation Framework for Lexical and Semantic Matching
Lexical and semantic matching capture different successful approaches to...
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05/23/2022
Domain Adaptation for Memory-Efficient Dense Retrieval
Dense retrievers encode documents into fixed dimensional embeddings. How...
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04/30/2022
To Interpolate or not to Interpolate: PRF, Dense and Sparse Retrievers
Current pre-trained language model approaches to information retrieval c...
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04/05/2022
Towards Best Practices for Training Multilingual Dense Retrieval Models
Dense retrieval models using a transformer-based bi-encoder design have ...
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03/21/2022
Evaluating Token-Level and Passage-Level Dense Retrieval Models for Math Information Retrieval
With the recent success of dense retrieval methods based on bi-encoders,...
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03/11/2022
Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval
Recent rapid advancements in deep pre-trained language models and the in...
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01/26/2022
Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?
Neural retrieval models are generally regarded as fundamentally differen...
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12/17/2021
Sparsifying Sparse Representations for Passage Retrieval by Top-k Masking
Sparse lexical representation learning has demonstrated much progress in...
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12/13/2021
Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study
Pseudo-Relevance Feedback (PRF) utilises the relevance signals from the ...
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12/09/2021
Densifying Sparse Representations for Passage Retrieval by Representational Slicing
Learned sparse and dense representations capture different successful ap...
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10/22/2021
Wacky Weights in Learned Sparse Representations and the Revenge of Score-at-a-Time Query Evaluation
Recent advances in retrieval models based on learned sparse representati...
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10/04/2021
Encoder Adaptation of Dense Passage Retrieval for Open-Domain Question Answering
One key feature of dense passage retrievers (DPR) is the use of separate...
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10/04/2021
A Proposed Conceptual Framework for a Representational Approach to Information Retrieval
This paper outlines a conceptual framework for understanding recent deve...
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08/19/2021
Mr. TyDi: A Multi-lingual Benchmark for Dense Retrieval
We present Mr. TyDi, a multi-lingual benchmark dataset for mono-lingual ...
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06/28/2021
A Few Brief Notes on DeepImpact, COIL, and a Conceptual Framework for Information Retrieval Techniques
Recent developments in representational learning for information retriev...
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05/09/2021
