Zaiqiao Meng
36 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Research topics
Machine Learning
(24)
Natural Language Processing
(22)
Artificial Intelligence
(16)
Deep Learning
(14)
Core AI
(14)
Learning Types Β· Machine Learning
(14)
Applications
(13)
Core Methods
(10)
Models
(8)
Learning Types Β· Deep Learning
(7)
Optimization & Theory
(6)
Resources & Methods
(6)
Knowledge & Reasoning
(5)
Generation
(5)
Representation
(5)
Keywords
retrieval-augmented generation
(7)
large language model
(6)
knowledge graph
(4)
variational inference
(4)
pre-trained language model
(4)
generative model
(3)
representation learning
(3)
question answering
(3)
contrastive learning
(3)
named entity recognition
(3)
evaluation metric
(2)
bayesian inference
(2)
information retrieval
(2)
knowledge probing
(2)
metric learning
(2)
prompt engineering
(2)
self-supervised learning
(2)
temporal reasoning
(2)
catastrophic forgetting
(2)
gaussian process
(2)
Papers
Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck
ACL 2026
SPARKLE: A Structured and Plug-and-play Agentic Retrieval Policy for Adaptive RAG Models
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
FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
EMNLP 2025
KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation
ACL 2025
Libra: Leveraging Temporal Images for Biomedical Radiology Analysis
ACL 2025
RadEval: A framework for radiology text evaluation
EMNLP 2025
The Power of Simplicity in LLM-Based Event Forecasting
ACL 2025
Time to Revisit Exact Match
EMNLP 2025
BAND: Biomedical Alert News Dataset
AAAI 2024
Can We Instruct LLMs to Compensate for Position Bias?
EMNLP 2024
CLEX: Continuous Length Extrapolation for Large Language Models
ICLR 2024
Gla-AI4BioMed at RRG24: Visual Instruction-tuned Adaptation for Radiology Report Generation
ACL 2024
REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation
ACL 2024
To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering
ACL 2024
TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation
EMNLP 2024
Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization
EMNLP 2023
Can Pretrained Language Models (Yet) Reason Deductively?
EACL 2023
COFFEE: A Contrastive Oracle-Free Framework for Event Extraction
ACL 2023
GenKIE: Robust Generative Multimodal Document Key Information Extraction
EMNLP 2023
MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition
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
Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models
ACL 2022
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
NAACL 2022
Few-Shot Table-to-Text Generation with Prototype Memory
EMNLP 2021
Integrating Transformers and Knowledge Graphs for Twitter Stance Detection
EMNLP 2021
Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT
EMNLP 2021
Self-Alignment Pretraining for Biomedical Entity Representations
NAACL 2021
Structure-Aware Random Fourier Kernel for Graphs
NeurIPS 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval
AAAI 2021
Bayesian Deep Collaborative Matrix Factorization
AAAI 2019
Semi-supervisedly Co-embedding Attributed Networks
NeurIPS 2019