Honglei Zhuang
15 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
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Keywords
information retrieval
(6)
language model
(3)
outlier detection
(3)
document ranking
(3)
large language model
(3)
zero-shot learning
(2)
passage ranking
(2)
model compression
(2)
multi-armed bandit
(2)
domain adaptation
(1)
passage retrieval
(1)
few-shot learning
(1)
sample complexity
(1)
fine-grained classification
(1)
unsupervised learning
(1)
prompt engineering
(1)
relevance prediction
(1)
knowledge distillation
(1)
exploration exploitation
(1)
text mining
(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
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 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
RD-Suite: A Benchmark for Ranking Distillation
NIPS 2023
Learning List-Level Domain-Invariant Representations for Ranking
NIPS 2023
PaRaDe: Passage Ranking using Demonstrations with LLMs
EMNLP 2023
ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning
ICLR 2022
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
ACL 2022
Are Neural Rankers still Outperformed by Gradient Boosted Decision Trees?
ICLR 2021
Adaptive Double-Exploration Tradeoff for Outlier Detection
AAAI 2020
Spherical Text Embedding
NIPS 2019
Identifying Outlier Arms in Multi-Armed Bandit
NIPS 2017
Identifying Semantically Deviating Outlier Documents
EMNLP 2017