Kai Hui
14 papers · 2017–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (26) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π§
Keyword Pioneer
π
Keyword Champion
(2)
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Trend Setter
β
The Questioner
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(68)
Venues
Top co-authors
Research topics
Machine Learning
(12)
Deep Learning
(9)
Natural Language Processing
(9)
Applications Β· Natural Language Processing
(9)
Artificial Intelligence
(6)
Architectures
(5)
Core Methods
(5)
Learning Types Β· Deep Learning
(5)
Application Areas
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Resources & Methods
(4)
Computer Science
(3)
Applications Β· Computer Science
(3)
Learning Paradigms
(2)
Keywords
information retrieval
(8)
language model
(4)
model compression
(2)
neural network
(2)
neural information retrieval
(2)
document retrieval
(2)
neural retrieval
(2)
dual encoder
(2)
passage ranking
(2)
large language model
(2)
zero-shot learning
(2)
document ranking
(2)
passage reranking
(2)
document reranking
(2)
passage retrieval
(1)
few-shot learning
(1)
prompt engineering
(1)
in-context learning
(1)
multi-task learning
(1)
knowledge distillation
(1)
Papers
Inference Scaling for Long-Context Retrieval Augmented Generation
ICLR 2025
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
NAACL 2024
Large Language Models are Effective Text Rankers with Pairwise Ranking Prompting
NAACL 2024
How Does Generative Retrieval Scale to Millions of Passages?
EMNLP 2023
Learning List-Level Domain-Invariant Representations for Ranking
NeurIPS 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs
EMNLP 2023
RD-Suite: A Benchmark for Ranking Distillation
NeurIPS 2023
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
ACL 2022
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
ICLR 2022
Transformer Memory as a Differentiable Search Index
NeurIPS 2022
BERT-QE: Contextualized Query Expansion for Document Re-ranking
EMNLP 2020
NPRF: A Neural Pseudo Relevance Feedback Framework for Ad-hoc Information Retrieval
EMNLP 2018
TDNN: A Two-stage Deep Neural Network for Prompt-independent Automated Essay Scoring
ACL 2018
PACRR: A Position-Aware Neural IR Model for Relevance Matching
EMNLP 2017