Sheng-Chieh Lin | DeepAI

AI Chat

Featured Co-authors

Yu Zhang
406 publications
Jimmy Lin
120 publications
Wen-tau Yih
61 publications
Rodrigo Nogueira
52 publications
Nathan Jacobs
41 publications
Allan Hanbury
36 publications
Yashar Mehdad
35 publications
Barlas Oguz
29 publications
Sebastian Hofstätter
27 publications
Akari Asai
23 publications
Xueguang Ma
20 publications

∙ 04/26/2023

Improving Conversational Passage Re-ranking with View Ensemble

This paper presents ConvRerank, a conversational passage re-ranker that ...

0 Jia-Huei Ju, et al. ∙

∙ 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 ...

0 Sheng-Chieh Lin, et al. ∙

∙ 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...

0 Minghan Li, et al. ∙

∙ 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) ...

0 Minghan Li, et al. ∙

∙ 10/09/2022

Strong Gravitational Lensing Parameter Estimation with Vision Transformer

Quantifying the parameters and corresponding uncertainties of hundreds o...

10 Kuan Wei Huang, et al. ∙

∙ 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...

0 Sheng-Chieh Lin, et al. ∙

∙ 06/20/2022

A Dense Representation Framework for Lexical and Semantic Matching

Lexical and semantic matching capture different successful approaches to...

0 Sheng-Chieh Lin, et al. ∙

∙ 12/09/2021

Densifying Sparse Representations for Passage Retrieval by Representational Slicing

Learned sparse and dense representations capture different successful ap...

0 Sheng-Chieh Lin, et al. ∙

∙ 04/18/2021

Contextualized Query Embeddings for Conversational Search

Conversational search (CS) plays a vital role in information retrieval. ...

0 Sheng-Chieh Lin, et al. ∙

∙ 04/14/2021

Efficiently Teaching an Effective Dense Retriever with Balanced Topic Aware Sampling

A vital step towards the widespread adoption of neural retrieval models ...

0 Sebastian Hofstätter, et al. ∙

∙ 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...

0 Jimmy Lin, et al. ∙

∙ 12/04/2020

Optical Wavelength Guided Self-Supervised Feature Learning For Galaxy Cluster Richness Estimate

Most galaxies in the nearby Universe are gravitationally bound to a clus...

0 Gongbo Liang, et al. ∙

∙ 10/22/2020

Distilling Dense Representations for Ranking using Tightly-Coupled Teachers

We present an approach to ranking with dense representations that applie...

0 Sheng-Chieh Lin, et al. ∙

∙ 08/30/2020

Personalized TV Recommendation: Fusing User Behavior and Preferences

In this paper, we propose a two-stage ranking approach for recommending ...

0 Sheng-Chieh Lin, et al. ∙

∙ 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...

0 Sheng-Chieh Lin, et al. ∙

∙ 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...

0 Sheng-Chieh Lin, et al. ∙

∙ 03/18/2020

TTTTTackling WinoGrande Schemas

We applied the T5 sequence-to-sequence model to tackle the AI2 WinoGrand...

0 Sheng-Chieh Lin, et al. ∙

Are you a researcher?
Expose your work
to one of the largest
A.I. communities in the world