Andrew Yates
28 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(21)
Natural Language Processing
(21)
Applications Β· Natural Language Processing
(18)
Artificial Intelligence
(16)
Core AI
(14)
Deep Learning
(13)
Core Methods
(13)
Learning Types Β· Machine Learning
(8)
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(7)
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(5)
Computer Science
(4)
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(4)
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(3)
Keywords
information retrieval
(9)
zero-shot learning
(5)
large language model
(4)
text classification
(4)
text embedding
(3)
document retrieval
(3)
query expansion
(3)
mental health
(3)
semantic textual similarity
(2)
representation learning
(2)
neural information retrieval
(2)
depression detection
(2)
neural network
(2)
table question answering
(2)
document ranking
(2)
contrastive learning
(2)
cross-lingual transfer
(2)
dense retrieval
(2)
social media
(2)
pseudo-relevance feedback
(2)
Papers
CommonLID: Re-evaluating State-of-the-Art Language Identification Performance on Web Data
ACL 2026
Making Large Language Models Efficient Dense Retrievers
ACL 2026
Controlled Retrieval-augmented Context Evaluation for Long-form RAG
EMNLP 2025
Enhancing Lexicon-Based Text Embeddings with Large Language Models
ACL 2025
SERVAL: Surprisingly Effective Zero-Shot Visual Document Retrieval Powered by Large Vision and Language Models
EMNLP 2025
ThinkQE: Query Expansion via an Evolving Thinking Process
EMNLP 2025
Video-ColBERT: Contextualized Late Interaction for Text-to-Video Retrieval
CVPR 2025
Corpus-Steered Query Expansion with Large Language Models
EACL 2024
DyVo: Dynamic Vocabularies for Learned Sparse Retrieval with Entities
EMNLP 2024
Meta-Task Prompting Elicits Embeddings from Large Language Models
ACL 2024
Representational Isomorphism and Alignment of Multilingual Large Language Models
EMNLP 2024
Table Question Answering for Low-resourced Indic Languages
EMNLP 2024
MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering
ACL 2023
Unsupervised Dense Retrieval with Relevance-Aware Contrastive Pre-Training
ACL 2023
Improving the Generalizability of Depression Detection by Leveraging Clinical Questionnaires
ACL 2022
Bag-of-Words Baselines for Semantic Code Search
ACL 2021
Pretrained Transformers for Text Ranking: BERT and Beyond
NAACL 2021
PRIDE: Predicting Relationships in Conversations
EMNLP 2021
A Little Bit Is Worse Than None: Ranking with Limited Training Data
EMNLP 2020
BERT-QE: Contextualized Query Expansion for Document Re-ranking
EMNLP 2020
CHARM: Inferring Personal Attributes from Conversations
EMNLP 2020
STANCY: Stance Classification Based on Consistency Cues
EMNLP 2019
DeClarE: Debunking Fake News and False Claims using Evidence-Aware Deep Learning
EMNLP 2018
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
EMNLP 2018
RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses
NAACL 2018
SMHD: a Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions
COLING 2018
Depression and Self-Harm Risk Assessment in Online Forums
EMNLP 2017
PACRR: A Position-Aware Neural IR Model for Relevance Matching
EMNLP 2017