| 2026 | ACL | SPARKLE: A Structured and Plug-and-play Agentic Retrieval Policy for Adaptive RAG Models. | Jinyuan Fang, Zaiqiao Meng, Craig Macdonald |
| 2026 | ACL | Failure Modes in Multi-Hop QA: The Weakest Link Effect and the Recognition Bottleneck. | Meiru Zhang, Zaiqiao Meng, Nigel Collier |
| 2026 | ACL | CCD: Mitigating Hallucinations in Radiology MLLMs via Clinical Contrastive Decoding. | Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho |
| 2025 | ACL | KiRAG: Knowledge-Driven Iterative Retriever for Enhancing Retrieval-Augmented Generation. | Jinyuan Fang, Zaiqiao Meng, Craig MacDonald |
| 2025 | ACL | Libra: Leveraging Temporal Images for Biomedical Radiology Analysis. | Xi Zhang, Zaiqiao Meng, Jake Lever, Edmond S. L. Ho |
| 2025 | CIKM | T-Retrievability: A Topic-Focused Approach to Measure Fair Document Exposure in Information Retrieval. | Xuejun Chang, Zaiqiao Meng, Debasis Ganguly |
| 2025 | ECIR | KEIR @ ECIR 2025: The Second Workshop on Knowledge-Enhanced Information Retrieval. | Zihan Wang, Jinyuan Fang, Giacomo Frisoni, Zhuyun Dai, Zaiqiao Meng, Gianluca Moro, Emine Yilmaz |
| 2025 | EMNLP | Time to Revisit Exact Match. | Auss Abbood, Zaiqiao Meng, Nigel Collier |
| 2025 | EMNLP | FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction. | Zhaohan Meng, Zaiqiao Meng, Ke Yuan, Iadh Ounis |
| 2025 | EMNLP | EvoAgentX: An Automated Framework for Evolving Agentic Workflows. | Yingxu Wang, Siwei Liu, Jinyuan Fang, Zaiqiao Meng |
| 2025 | EMNLP | RadEval: A framework for radiology text evaluation. | Justin Xu, Xi Zhang, Javid Abderezaei, Julie Bauml, Roger Boodoo, Fatemeh Haghighi, Ali Ganjizadeh, Eric Brattain, Dave Van Veen, Zaiqiao Meng, David W. Eyre, Jean-Benoit Delbrouck |
| 2025 | EMNLP | Can We Edit LLMs for Long-Tail Biomedical Knowledge? | Xinhao Yi, Jake Lever, Kevin Bryson, Zaiqiao Meng |
| 2025 | IJCAI | Decision-Aware Preference Modeling for Multi-Behavior Recommendation. | Qingfeng Li, Wei Liu, Zaiqiao Meng, Jian Yin |
| 2025 | SIGIR | Constructing and Evaluating Declarative RAG Pipelines in PyTerrier. | Craig Macdonald, Jinyuan Fang, Andrew Parry, Zaiqiao Meng |
| 2024 | AAAI | BAND: Biomedical Alert News Dataset. | Zihao Fu, Meiru Zhang, Zaiqiao Meng, Yannan Shen, David L. Buckeridge, Nigel Collier |
| 2024 | ACL | REANO: Optimising Retrieval-Augmented Reader Models through Knowledge Graph Generation. | Jinyuan Fang, Zaiqiao Meng, Craig MacDonald |
| 2024 | ACL | To Generate or to Retrieve? On the Effectiveness of Artificial Contexts for Medical Open-Domain Question Answering. | Giacomo Frisoni, Alessio Cocchieri, Alex Presepi, Gianluca Moro, Zaiqiao Meng |
| 2024 | ECAI | CLCE: An Approach to Refining Cross-Entropy and Contrastive Learning for Optimized Learning Fusion. | Zijun Long, Lipeng Zhuang, George Killick, Zaiqiao Meng, Richard McCreadie, Gerardo Aragon-Camarasa |
| 2024 | ECIR | KEIR @ ECIR 2024: The First Workshop on Knowledge-Enhanced Information Retrieval. | Zaiqiao Meng, Shangsong Liang, Xin Xin, Gianluca Moro, Evangelos Kanoulas, Emine Yilmaz |
| 2024 | EMNLP | TRACE the Evidence: Constructing Knowledge-Grounded Reasoning Chains for Retrieval-Augmented Generation. | Jinyuan Fang, Zaiqiao Meng, Craig MacDonald |
| 2024 | EMNLP | Can We Instruct LLMs to Compensate for Position Bias? | Meiru Zhang, Zaiqiao Meng, Nigel Collier |
| 2024 | ICASSP | LaCViT: A Label-Aware Contrastive Fine-Tuning Framework for Vision Transformers. | Zijun Long, Richard McCreadie, Gerardo Aragon-Camarasa, Zaiqiao Meng |
| 2024 | ICLR | CLEX: Continuous Length Extrapolation for Large Language Models. | Guanzheng Chen, Xin Li, Zaiqiao Meng, Shangsong Liang, Lidong Bing |
| 2023 | ACL | MANNER: A Variational Memory-Augmented Model for Cross Domain Few-Shot Named Entity Recognition. | Jinyuan Fang, Xiaobin Wang, Zaiqiao Meng, Pengjun Xie, Fei Huang, Yong Jiang |
| 2023 | CIKM | KGPR: Knowledge Graph Enhanced Passage Ranking. | Jinyuan Fang, Zaiqiao Meng, Craig Macdonald |
| 2023 | EACL | Can Pretrained Language Models (Yet) Reason Deductively? | Zhangdie Yuan, Songbo Hu, Ivan Vulic, Anna Korhonen, Zaiqiao Meng |
| 2023 | EMNLP | GenKIE: Robust Generative Multimodal Document Key Information Extraction. | Panfeng Cao, Ye Wang, Qiang Zhang, Zaiqiao Meng |
| 2023 | EMNLP | Biomedical Named Entity Recognition via Dictionary-based Synonym Generalization. | Zihao Fu, Yixuan Su, Zaiqiao Meng, Nigel Collier |
| 2022 | AAAI | Multi-Relational Graph Representation Learning with Bayesian Gaussian Process Network. | Guanzheng Chen, Jinyuan Fang, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2022 | ACL | Rewire-then-Probe: A Contrastive Recipe for Probing Biomedical Knowledge of Pre-trained Language Models. | Zaiqiao Meng, Fangyu Liu, Ehsan Shareghi, Yixuan Su, Charlotte Collins, Nigel Collier |
| 2022 | EMNLP | Revisiting Parameter-Efficient Tuning: Are We Really There Yet? | Guanzheng Chen, Fangyu Liu, Zaiqiao Meng, Shangsong Liang |
| 2022 | NAACL | TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning. | Yixuan Su, Fangyu Liu, Zaiqiao Meng, Tian Lan, Lei Shu, Ehsan Shareghi, Nigel Collier |
| 2022 | WWW | Learning Robust Recommenders through Cross-Model Agreement. | Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He |
| 2022 | WWW | Meta-Learning Helps Personalized Product Search. | Bin Wu, Zaiqiao Meng, Qiang Zhang, Shangsong Liang |
| 2021 | AAAI | Weakly Supervised Deep Hyperspherical Quantization for Image Retrieval. | Jinpeng Wang, Bin Chen, Qiang Zhang, Zaiqiao Meng, Shangsong Liang, Shutao Xia |
| 2021 | EMNLP | Mixture-of-Partitions: Infusing Large Biomedical Knowledge Graphs into BERT. | Zaiqiao Meng, Fangyu Liu, Thomas Hikaru Clark, Ehsan Shareghi, Nigel Collier |
| 2021 | EMNLP | Few-Shot Table-to-Text Generation with Prototype Memory. | Yixuan Su, Zaiqiao Meng, Simon Baker, Nigel Collier |
| 2021 | KDD | Gaussian Process with Graph Convolutional Kernel for Relational Learning. | Jinyuan Fang, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2021 | NAACL | Self-Alignment Pretraining for Biomedical Entity Representations. | Fangyu Liu, Ehsan Shareghi, Zaiqiao Meng, Marco Basaldella, Nigel Collier |
| 2021 | WSDM | Learning Dynamic Embeddings for Temporal Knowledge Graphs. | Siyuan Liao, Shangsong Liang, Zaiqiao Meng, Qiang Zhang |
| 2020 | RecSys | Exploring Data Splitting Strategies for the Evaluation of Recommendation Models. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis |
| 2020 | RecSys | BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems. | Zaiqiao Meng, Richard McCreadie, Craig Macdonald, Iadh Ounis, Siwei Liu, Yaxiong Wu, Xi Wang, Shangsong Liang, Yucheng Liang, Guangtao Zeng, Junhua Liang, Qiang Zhang |
| 2020 | SIGIR | A Heterogeneous Graph Neural Model for Cold-start Recommendation. | Siwei Liu, Iadh Ounis, Craig Macdonald, Zaiqiao Meng |
| 2019 | AAAI | Bayesian Deep Collaborative Matrix Factorization. | Teng Xiao, Shangsong Liang, Weizhou Shen, Zaiqiao Meng |
| 2019 | CIKM | Constrained Co-embedding Model for User Profiling in Question Answering Communities. | Yupeng Luo, Shangsong Liang, Zaiqiao Meng |
| 2019 | CIKM | Dynamic Collaborative Recurrent Learning. | Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | CIKM | Dynamic Bayesian Metric Learning for Personalized Product Search. | Teng Xiao, Jiaxin Ren, Zaiqiao Meng, Huan Sun, Shangsong Liang |
| 2019 | WWW | Hierarchical Neural Variational Model for Personalized Sequential Recommendation. | Teng Xiao, Shangsong Liang, Zaiqiao Meng |
| 2019 | WSDM | Co-Embedding Attributed Networks. | Zaiqiao Meng, Shangsong Liang, Hongyan Bao, Xiangliang Zhang |
| 2017 | PDCAT | NMFDIV: A Nonnegative Matrix Factorization Approach for Search Result Diversification on Attributed Networks. | Zaiqiao Meng, Hong Shen |