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08/18/2023
Predictive Authoring for Brazilian Portuguese Augmentative and Alternative Communication
Individuals with complex communication needs (CCN) often rely on augment...
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07/11/2023
BLUEX: A benchmark based on Brazilian Leading Universities Entrance eXams
One common trend in recent studies of language models (LMs) is the use o...
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07/10/2023
InPars Toolkit: A Unified and Reproducible Synthetic Data Generation Pipeline for Neural Information Retrieval
Recent work has explored Large Language Models (LLMs) to overcome the la...
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04/26/2023
A Personalized Dense Retrieval Framework for Unified Information Access
Developing a universal model that can efficiently and effectively respon...
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04/16/2023
Sabiá: Portuguese Large Language Models
As the capabilities of language models continue to advance, it is concei...
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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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03/29/2023
Evaluating GPT-3.5 and GPT-4 Models on Brazilian University Admission Exams
The present study aims to explore the capabilities of Language Models (L...
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03/28/2023
NeuralMind-UNICAMP at 2022 TREC NeuCLIR: Large Boring Rerankers for Cross-lingual Retrieval
This paper reports on a study of cross-lingual information retrieval (CL...
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01/25/2023
ExaRanker: Explanation-Augmented Neural Ranker
Recent work has shown that inducing a large language model (LLM) to gene...
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01/04/2023
InPars-v2: Large Language Models as Efficient Dataset Generators for Information Retrieval
Recently, InPars introduced a method to efficiently use large language m...
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12/19/2022
Visconde: Multi-document QA with GPT-3 and Neural Reranking
This paper proposes a question-answering system that can answer question...
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12/12/2022
In Defense of Cross-Encoders for Zero-Shot Retrieval
Bi-encoders and cross-encoders are widely used in many state-of-the-art ...
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10/26/2022
NeuralSearchX: Serving a Multi-billion-parameter Reranker for Multilingual Metasearch at a Low Cost
The widespread availability of search API's (both free and commercial) b...
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09/27/2022
mRobust04: A Multilingual Version of the TREC Robust 2004 Benchmark
Robust 2004 is an information retrieval benchmark whose large number of ...
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09/22/2022
MonoByte: A Pool of Monolingual Byte-level Language Models
The zero-shot cross-lingual ability of models pretrained on multilingual...
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08/24/2022
Induced Natural Language Rationales and Interleaved Markup Tokens Enable Extrapolation in Large Language Models
The ability to extrapolate, i.e., to make predictions on sequences that ...
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08/09/2022
A Boring-yet-effective Approach for the Product Ranking Task of the Amazon KDD Cup 2022
In this work we describe our submission to the product ranking task of t...
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06/06/2022
No Parameter Left Behind: How Distillation and Model Size Affect Zero-Shot Retrieval
Recent work has shown that small distilled language models are strong co...
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05/30/2022
Billions of Parameters Are Worth More Than In-domain Training Data: A case study in the Legal Case Entailment Task
Recent work has shown that language models scaled to billions of paramet...
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02/10/2022
InPars: Data Augmentation for Information Retrieval using Large Language Models
The information retrieval community has recently witnessed a revolution ...
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02/07/2022
To Tune or Not To Tune? Zero-shot Models for Legal Case Entailment
There has been mounting evidence that pretrained language models fine-tu...
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01/14/2022
Sequence-to-Sequence Models for Extracting Information from Registration and Legal Documents
A typical information extraction pipeline consists of token- or span-lev...
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09/04/2021
On the ability of monolingual models to learn language-agnostic representations
Pretrained multilingual models have become a de facto default approach f...
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08/31/2021
mMARCO: A Multilingual Version of MS MARCO Passage Ranking Dataset
The MS MARCO ranking dataset has been widely used for training deep lear...
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05/14/2021
A cost-benefit analysis of cross-lingual transfer methods
An effective method for cross-lingual transfer is to fine-tune a bilingu...
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04/26/2021
Yes, BM25 is a Strong Baseline for Legal Case Retrieval
We describe our single submission to task 1 of COLIEE 2021. Our vanilla ...
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02/25/2021
Investigating the Limitations of Transformers with Simple Arithmetic Tasks
The ability to perform arithmetic tasks is a remarkable trait of human i...
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02/19/2021
Pyserini: An Easy-to-Use Python Toolkit to Support Replicable IR Research with Sparse and Dense Representations
Pyserini is an easy-to-use Python toolkit that supports replicable IR re...
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01/14/2021
The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained Sequence-to-Sequence Models
We propose a design pattern for tackling text ranking problems, dubbed "...
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10/22/2020
Scientific Claim Verification with VERT5ERINI
This work describes the adaptation of a pretrained sequence-to-sequence ...
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10/13/2020
Pretrained Transformers for Text Ranking: BERT and Beyond
The goal of text ranking is to generate an ordered list of texts retriev...
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09/19/2020
Can questions summarize a corpus? Using question generation for characterizing COVID-19 research
What are the latent questions on some textual data? In this work, we inv...
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08/20/2020
PTT5: Pretraining and validating the T5 model on Brazilian Portuguese data
In natural language processing (NLP), there is a need for more resources...
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08/20/2020
Lite Training Strategies for Portuguese-English and English-Portuguese Translation
Despite the widespread adoption of deep learning for machine translation...
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07/14/2020
Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset
We present Covidex, a search engine that exploits the latest neural rank...
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05/05/2020
Query Reformulation using Query History for Passage Retrieval in Conversational Search
Passage retrieval in a conversational context is essential for many down...
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04/23/2020
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
We present CovidQA, the beginnings of a question answering dataset speci...
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04/10/2020
Rapidly Deploying a Neural Search Engine for the COVID-19 Open Research Dataset: Preliminary Thoughts and Lessons Learned
We present the Neural Covidex, a search engine that exploits the latest ...
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04/04/2020
Conversational Question Reformulation via Sequence-to-Sequence Architectures and Pretrained Language Models
This paper presents an empirical study of conversational question reform...
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03/18/2020
TTTTTackling WinoGrande Schemas
We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrand...
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03/14/2020
Document Ranking with a Pretrained Sequence-to-Sequence Model
This work proposes a novel adaptation of a pretrained sequence-to-sequen...
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02/14/2020
Electricity Theft Detection with self-attention
In this work we propose a novel self-attention mechanism model to addres...
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01/23/2020
Navigation-Based Candidate Expansion and Pretrained Language Models for Citation Recommendation
Citation recommendation systems for the scientific literature, to help a...
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11/11/2019
Meta Answering for Machine Reading
We investigate a framework for machine reading, inspired by real world i...
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10/31/2019
Multi-Stage Document Ranking with BERT
The advent of deep neural networks pre-trained via language modeling tas...
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09/23/2019
Portuguese Named Entity Recognition using BERT-CRF
Recent advances in language representation using neural networks have ma...
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08/16/2019
Learning Representations and Agents for Information Retrieval
A goal shared by artificial intelligence and information retrieval is to...
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04/17/2019
Document Expansion by Query Prediction
One technique to improve the retrieval effectiveness of a search engine ...
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01/13/2019
Passage Re-ranking with BERT
Recently, neural models pretrained on a language modeling task, such as ...
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09/27/2018