b'Hamed Zamani'

research

∙ 06/28/2023

Pre-Training Multi-Modal Dense Retrievers for Outside-Knowledge Visual Question Answering

This paper studies a category of visual question answering tasks, in whi...

0 Alireza Salemi, et al. ∙

research

∙ 06/04/2023

Large Language Model Augmented Narrative Driven Recommendations

Narrative-driven recommendation (NDR) presents an information access pro...

0 Sheshera Mysore, et al. ∙

research

∙ 05/15/2023

Soft Prompt Decoding for Multilingual Dense Retrieval

In this work, we explore a Multilingual Information Retrieval (MLIR) tas...

0 Zhiqi Huang, et al. ∙

research

∙ 04/27/2023

Multivariate Representation Learning for Information Retrieval

Dense retrieval models use bi-encoder network architectures for learning...

0 Hamed Zamani, et al. ∙

research

∙ 04/26/2023

A Personalized Dense Retrieval Framework for Unified Information Access

Developing a universal model that can efficiently and effectively respon...

0 Hansi Zeng, et al. ∙

research

∙ 04/26/2023

A Symmetric Dual Encoding Dense Retrieval Framework for Knowledge-Intensive Visual Question Answering

Knowledge-Intensive Visual Question Answering (KI-VQA) refers to answeri...

0 Alireza Salemi, et al. ∙

research

∙ 04/22/2023

LaMP: When Large Language Models Meet Personalization

This paper highlights the importance of personalization in the current s...

0 Alireza Salemi, et al. ∙

research

∙ 04/18/2023

Generalized Weak Supervision for Neural Information Retrieval

Neural ranking models (NRMs) have demonstrated effective performance in ...

0 Yen-Chieh Lien, et al. ∙

research

∙ 04/09/2023

Editable User Profiles for Controllable Text Recommendation

Methods for making high-quality recommendations often rely on learning l...

0 Sheshera Mysore, et al. ∙

research

∙ 12/21/2022

Learning List-Level Domain-Invariant Representations for Ranking

Domain adaptation aims to transfer the knowledge acquired by models trai...

0 Ruicheng Xian, et al. ∙

research

∙ 10/28/2022

You can't pick your neighbors, or can you? When and how to rely on retrieval in the kNN-LM

Retrieval-enhanced language models (LMs), which condition their predicti...

0 Andrew Drozdov, et al. ∙

research

∙ 09/28/2022

FiD-Light: Efficient and Effective Retrieval-Augmented Text Generation

Retrieval-augmented generation models offer many benefits over standalon...

0 Sebastian Hofstätter, et al. ∙

research

∙ 07/07/2022

Multi-Task Retrieval-Augmented Text Generation with Relevance Sampling

This paper studies multi-task training of retrieval-augmented generation...

0 Sebastian Hofstätter, et al. ∙

research

∙ 06/26/2022

Are We There Yet? A Decision Framework for Replacing Term Based Retrieval with Dense Retrieval Systems

Recently, several dense retrieval (DR) models have demonstrated competit...

0 Sebastian Hofstätter, et al. ∙

research

∙ 06/09/2022

MIMICS-Duo: Offline Online Evaluation of Search Clarification

Asking clarification questions is an active area of research; however, r...

0 Leila Tavakoli, et al. ∙

research

∙ 05/02/2022

Retrieval-Enhanced Machine Learning

Although information access systems have long supported people in accomp...

0 Hamed Zamani, et al. ∙

research

∙ 04/28/2022

Curriculum Learning for Dense Retrieval Distillation

Recent work has shown that more effective dense retrieval models can be ...

0 Hansi Zeng, et al. ∙

research

∙ 01/21/2022

Conversational Information Seeking

Conversational information seeking (CIS) is concerned with a sequence of...

5 Hamed Zamani, et al. ∙

research

∙ 11/02/2021

Explaining Documents' Relevance to Search Queries

We present GenEx, a generative model to explain search results to users ...

0 Razieh Rahimi, et al. ∙

research

∙ 10/16/2021

A Dataset for Discourse Structure in Peer Review Discussions

At the foundation of scientific evaluation is the labor-intensive proces...

4 Neha Nayak Kennard, et al. ∙

research

∙ 09/13/2021

Analysing Mixed Initiatives and Search Strategies during Conversational Search

Information seeking conversations between users and Conversational Searc...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 06/17/2021

Current Challenges and Future Directions in Podcast Information Access

Podcasts are spoken documents across a wide-range of genres and styles, ...

0 Rosie Jones, et al. ∙

research

∙ 05/20/2021

Intra-Document Cascading: Learning to Select Passages for Neural Document Ranking

An emerging recipe for achieving state-of-the-art effectiveness in neura...

0 Sebastian Hofstätter, et al. ∙

research

∙ 05/09/2021

Passage Retrieval for Outside-Knowledge Visual Question Answering

In this work, we address multi-modal information needs that contain text...

0 Chen Qu, et al. ∙

research

∙ 04/19/2021

Improving Transformer-Kernel Ranking Model Using Conformer and Query Term Independence

The Transformer-Kernel (TK) model has demonstrated strong reranking perf...

0 Bhaskar Mitra, et al. ∙

research

∙ 03/24/2021

CSFCube – A Test Collection of Computer Science Research Articles for Faceted Query by Example

Query by Example is a well-known information retrieval task in which a d...

13 Sheshera Mysore, et al. ∙

research

∙ 01/18/2021

Tip of the Tongue Known-Item Retrieval: A Case Study in Movie Identification

While current information retrieval systems are effective for known-item...

0 Jaime Arguello, et al. ∙

research

∙ 01/09/2021

Context-Aware Target Apps Selection and Recommendation for Enhancing Personal Mobile Assistants

Users install many apps on their smartphones, raising issues related to ...

4 Mohammad Aliannejadi, et al. ∙

research

∙ 11/14/2020

Conformer-Kernel with Query Term Independence at TREC 2020 Deep Learning Track

We benchmark Conformer-Kernel models under the strict blind evaluation s...

0 Bhaskar Mitra, et al. ∙

research

∙ 07/20/2020

Conformer-Kernel with Query Term Independence for Document Retrieval

The Transformer-Kernel (TK) model has demonstrated strong reranking perf...

0 Bhaskar Mitra, et al. ∙

research

∙ 06/17/2020

MIMICS: A Large-Scale Data Collection for Search Clarification

Search clarification has recently attracted much attention due to its ap...

0 Hamed Zamani, et al. ∙

research

∙ 06/13/2020

Guided Transformer: Leveraging Multiple External Sources for Representation Learning in Conversational Search

Asking clarifying questions in response to ambiguous or faceted queries ...

0 Helia Hashemi, et al. ∙

research

∙ 05/30/2020

Analyzing and Learning from User Interactions for Search Clarification

Asking clarifying questions in response to search queries has been recog...

0 Hamed Zamani, et al. ∙

research

∙ 05/11/2020

Local Self-Attention over Long Text for Efficient Document Retrieval

Neural networks, particularly Transformer-based architectures, have achi...

0 Sebastian Hofstätter, et al. ∙

research

∙ 01/19/2020

Common Conversational Community Prototype: Scholarly Conversational Assistant

This paper discusses the potential for creating academic resources (tool...

0 Krisztian Balog, et al. ∙

research

∙ 12/18/2019

Macaw: An Extensible Conversational Information Seeking Platform

Conversational information seeking (CIS) has been recognized as a major ...

0 Hamed Zamani, et al. ∙

research

∙ 09/17/2019

Multi-step Entity-centric Information Retrieval for Multi-Hop Question Answering

Multi-hop question answering (QA) requires an information retrieval (IR)...

0 Ameya Godbole, et al. ∙

research

∙ 08/19/2019

Recommender Systems Fairness Evaluation via Generalized Cross Entropy

Fairness in recommender systems has been considered with respect to sens...

0 Yashar Deldjoo, et al. ∙

research

∙ 07/15/2019

Asking Clarifying Questions in Open-Domain Information-Seeking Conversations

Users often fail to formulate their complex information needs in a singl...

3 Mohammad Aliannejadi, et al. ∙

research

∙ 05/22/2019

ANTIQUE: A Non-Factoid Question Answering Benchmark

Considering the widespread use of mobile and voice search, answer passag...

0 Helia Hashemi, et al. ∙

research

∙ 05/05/2019

Investigating the Successes and Failures of BERT for Passage Re-Ranking

The bidirectional encoder representations from transformers (BERT) model...

0 Harshith Padigela, et al. ∙

research

∙ 03/16/2019

A Deep Look into Neural Ranking Models for Information Retrieval

Ranking models lie at the heart of research on information retrieval (IR...

0 Jiafeng Guo, et al. ∙

research

∙ 10/02/2018

An Analysis of Approaches Taken in the ACM RecSys Challenge 2018 for Automatic Music Playlist Continuation

The ACM Recommender Systems Challenge 2018 focused on the task of automa...

0 Hamed Zamani, et al. ∙

research

∙ 07/15/2018

Joint Modeling and Optimization of Search and Recommendation

Despite the somewhat different techniques used in developing search engi...

0 Hamed Zamani, et al. ∙

research

∙ 06/13/2018

Towards Theoretical Understanding of Weak Supervision for Information Retrieval

Neural network approaches have recently shown to be effective in several...

0 Hamed Zamani, et al. ∙

research

∙ 05/06/2018

Target Apps Selection: Towards a Unified Search Framework for Mobile Devices

With the recent growth of conversational systems and intelligent assista...

0 Mohammad Aliannejadi, et al. ∙

research

∙ 11/25/2017

Neural Ranking Models with Multiple Document Fields

Deep neural networks have recently shown promise in the ad-hoc retrieval...

0 Hamed Zamani, et al. ∙

research

∙ 10/09/2017

Current Challenges and Visions in Music Recommender Systems Research

Music recommender systems (MRS) have experienced a boom in recent years,...

0 Markus Schedl, et al. ∙

research

∙ 05/09/2017

Relevance-based Word Embedding

Learning a high-dimensional dense representation for vocabulary terms, a...

0 Hamed Zamani, et al. ∙

research

∙ 04/28/2017

Neural Ranking Models with Weak Supervision

Despite the impressive improvements achieved by unsupervised deep neural...

0 Mostafa Dehghani, et al. ∙

Hamed Zamani

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