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05/10/2023
Do LLMs Understand User Preferences? Evaluating LLMs On User Rating Prediction
Large Language Models (LLMs) have demonstrated exceptional capabilities ...
share
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05/09/2023
WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset
Webpages have been a rich resource for language and vision-language task...
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05/05/2023
A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding
Webpages have been a rich, scalable resource for vision-language and lan...
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12/20/2022
HYRR: Hybrid Infused Reranking for Passage Retrieval
We present Hybrid Infused Reranking for Passages Retrieval (HYRR), a fra...
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12/17/2022
RISE: Leveraging Retrieval Techniques for Summarization Evaluation
Evaluating automatically-generated text summaries is a challenging task....
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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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10/10/2022
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts
Soft prompts have been recently proposed as a tool for adapting large fr...
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09/23/2022
Promptagator: Few-shot Dense Retrieval From 8 Examples
Much recent research on information retrieval has focused on how to tran...
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06/27/2022
Knowledge-aware Neural Collective Matrix Factorization for Cross-domain Recommendation
Cross-domain recommendation (CDR) can help customers find more satisfyin...
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04/14/2022
Exploring Dual Encoder Architectures for Question Answering
Dual encoders have been used for question-answering (QA) and information...
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03/31/2022
Scaling Up Models and Data with and
Recent neural network-based language models have benefited greatly from ...
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12/15/2021
LongT5: Efficient Text-To-Text Transformer for Long Sequences
Recent work has shown that either (1) increasing the input length or (2)...
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12/15/2021
Large Dual Encoders Are Generalizable Retrievers
It has been shown that dual encoders trained on one domain often fail to...
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08/19/2021
Sentence-T5: Scalable Sentence Encoders from Pre-trained Text-to-Text Models
We provide the first exploration of text-to-text transformers (T5) sente...
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05/17/2021
SHARE: a System for Hierarchical Assistive Recipe Editing
We introduce SHARE: a System for Hierarchical Assistive Recipe Editing t...
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10/23/2020
Neural Passage Retrieval with Improved Negative Contrast
In this paper we explore the effects of negative sampling in dual encode...
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10/06/2020
Learning Visual-Semantic Embeddings for Reporting Abnormal Findings on Chest X-rays
Automatic medical image report generation has drawn growing attention du...
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04/07/2020
Interview: A Large-Scale Open-Source Corpus of Media Dialog
Existing conversational datasets consist either of written proxies for d...
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12/04/2019
Addressing Marketing Bias in Product Recommendations
Modern collaborative filtering algorithms seek to provide personalized p...
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09/02/2019
Scalable and Accurate Dialogue State Tracking via Hierarchical Sequence Generation
Existing approaches to dialogue state tracking rely on pre-defined ontol...
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08/31/2019
Generating Personalized Recipes from Historical User Preferences
Existing approaches to recipe generation are unable to create recipes fo...
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08/28/2018