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09/14/2023
Ambiguity-Aware In-Context Learning with Large Language Models
In-context learning (ICL) i.e. showing LLMs only a few task-specific dem...
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08/15/2023
Teach LLMs to Personalize – An Approach inspired by Writing Education
Personalized text generation is an emerging research area that has attra...
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06/30/2023
SMILE: Evaluation and Domain Adaptation for Social Media Language Understanding
We study the ability of transformer-based language models (LMs) to under...
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05/05/2023
Query Expansion by Prompting Large Language Models
Query expansion is a widely used technique to improve the recall of sear...
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04/27/2023
Multivariate Representation Learning for Information Retrieval
Dense retrieval models use bi-encoder network architectures for learning...
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04/22/2023
LaMP: When Large Language Models Meet Personalization
This paper highlights the importance of personalization in the current s...
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04/17/2023
Metric-agnostic Ranking Optimization
Ranking is at the core of Information Retrieval. Classic ranking optim...
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12/21/2022
What do LLMs Know about Financial Markets? A Case Study on Reddit Market Sentiment Analysis
Market sentiment analysis on social media content requires knowledge of ...
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12/21/2022
Learning List-Level Domain-Invariant Representations for Ranking
Domain adaptation aims to transfer the knowledge acquired by models trai...
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11/02/2022
Regression Compatible Listwise Objectives for Calibrated Ranking
As Learning-to-Rank (LTR) approaches primarily seek to improve ranking q...
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10/12/2022
RankT5: Fine-Tuning T5 for Text Ranking with Ranking Losses
Recently, substantial progress has been made in text ranking based on pr...
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05/02/2022
Retrieval-Enhanced Machine Learning
Although information access systems have long supported people in accomp...
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01/25/2022
Out-of-Domain Semantics to the Rescue! Zero-Shot Hybrid Retrieval Models
The pre-trained language model (eg, BERT) based deep retrieval models ac...
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12/17/2021
Rank4Class: A Ranking Formulation for Multiclass Classification
Multiclass classification (MCC) is a fundamental machine learning proble...
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09/30/2021
Born Again Neural Rankers
We introduce Born Again neural Rankers (BAR) in the Learning to Rank (LT...
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06/11/2021
Dynamic Language Models for Continuously Evolving Content
The content on the web is in a constant state of flux. New entities, iss...
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04/16/2021
LAMPRET: Layout-Aware Multimodal PreTraining for Document Understanding
Document layout comprises both structural and visual (eg. font-sizes) in...
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04/15/2021
Privacy-Adaptive BERT for Natural Language Understanding
When trying to apply the recent advance of Natural Language Understandin...
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03/02/2021
WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
The milestone improvements brought about by deep representation learning...
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10/07/2020
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling
Pre-trained models like BERT (Devlin et al., 2018) have dominated NLP / ...
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10/02/2020
Leveraging Semantic and Lexical Matching to Improve the Recall of Document Retrieval Systems: A Hybrid Approach
Search engines often follow a two-phase paradigm where in the first stag...
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10/01/2020
RRF102: Meeting the TREC-COVID Challenge with a 100+ Runs Ensemble
In this paper, we report the results of our participation in the TREC-CO...
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05/06/2020
Interpretable Learning-to-Rank with Generalized Additive Models
Interpretability of learning-to-rank models is a crucial yet relatively ...
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04/26/2020
Beyond 512 Tokens: Siamese Multi-depth Transformer-based Hierarchical Encoder for Document Matching
Many information retrieval and natural language processing problems can ...
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10/21/2019
Self-Attentive Document Interaction Networks for Permutation Equivariant Ranking
How to leverage cross-document interactions to improve ranking performan...
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06/19/2019
Domain Adaptation for Enterprise Email Search
In the enterprise email search setting, the same search engine often pow...
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11/30/2018
TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank
TensorFlow Ranking is the first open source library for solving large-sc...
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11/11/2018
Learning Groupwise Scoring Functions Using Deep Neural Networks
While in a classification or a regression setting a label or a value is ...
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10/11/2018
Offline Comparison of Ranking Functions using Randomized Data
Ranking functions return ranked lists of items, and users often interact...
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09/15/2018
Multi-Task Learning for Email Search Ranking with Auxiliary Query Clustering
User information needs vary significantly across different tasks, and th...
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09/07/2016