Zaiqiao Meng
36 papers · 2019–2026 · 8 conferences · across top CS/AI conferences
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Conferences
EMNLP (13)
ACL (11)
AAAI (4)
NIPS (3)
NAACL (2)
EACL (1)
ICLR (1)
IJCAI (1)
Top co-authors
Keywords
retrieval-augmented generation
(6)
large language model
(5)
knowledge graph
(4)
variational inference
(4)
contrastive learning
(3)
named entity recognition
(3)
question answering
(3)
representation learning
(3)
generative model
(3)
pre-trained language model
(2)
evaluation metric
(2)
gaussian process
(2)
catastrophic forgetting
(2)
bayesian inference
(2)
information retrieval
(2)
knowledge probing
(2)
metric learning
(2)
prompt engineering
(2)
self-supervised learning
(2)
temporal reasoning
(2)
Papers
SPARKLE: A Structured and Plug-and-play Agentic Retrieval Policy for Adaptive RAG Models
ACL 2026
Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck
ACL 2026
Can We Edit LLMs for Long-Tail Biomedical Knowledge?
EMNLP 2025
Decision-Aware Preference Modeling for Multi-Behavior Recommendation
IJCAI 2025
EvoAgentX: An Automated Framework for Evolving Agentic Workflows
EMNLP 2025
Time to Revisit Exact Match
EMNLP 2025
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
ACL 2025
Libra: Leveraging Temporal Images for Biomedical Radiology Analysis
ACL 2025
The Power of Simplicity in LLM-Based Event Forecasting
ACL 2025
RadEval: A framework for radiology text evaluation
EMNLP 2025
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
EMNLP 2025
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
ACL 2024
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
ACL 2024
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation
EMNLP 2024
Can We Instruct LLMs to Compensate for Position Bias?
EMNLP 2024
BAND: Biomedical Alert News Dataset
AAAI 2024
CLEX: Continuous Length Extrapolation for Large Language Models
ICLR 2024
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
ACL 2024
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition
ACL 2023
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
EMNLP 2023
GenKIE: Robust Generative Multimodal Document Key Information Extraction
EMNLP 2023
Can Pretrained Language Models (Yet) Reason Deductively?
EACL 2023
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
ACL 2023
Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network
AAAI 2022
Revisiting Parameter-Efficient Tuning: Are We Really There Yet?
EMNLP 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
NAACL 2022
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
ACL 2022
Few-Shot Table-to-Text Generation with Prototype Memory
EMNLP 2021
Structure-Aware Random Fourier Kernel for Graphs
NIPS 2021
Variational Continual Bayesian Meta-Learning
NIPS 2021
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
AAAI 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
EMNLP 2021
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection
EMNLP 2021
Self-Alignment Pretraining for Biomedical Entity Representations
NAACL 2021
Semi-supervisedly Co-embedding Attributed Networks
NIPS 2019
Bayesian Deep Collaborative Matrix Factorization
AAAI 2019