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Meng Fang
I am an Assistant Professor in AI at University of Liverpool. I'm also a visiting (assistant) professor at Eindhoven University of Technology (TU/e).
I received my Ph.D. from University of Technology Sydney, advised by Prof. Dacheng Tao, and then worked as a postdoc with Prof. Trevor Cohn at the University of Melbourne NLP group.
I had been a research scientist / intern at Tencent Robotics X / AI, CSIRO and Microsoft Research Asia before.
People / Teaching & Service / Email / Github / Scholar / |
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Updates
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| Research |
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Projects |
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Text-based games |
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Conversational AI |
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Question & Answering |
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Reinforcement learning |
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Publications |
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Selected: (Full publication list) |
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Synergizing Foundation Models and Federated Learning: A Survey |
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Where Would I Go Next? Large Language Models as Human Mobility Predictors |
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RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering |
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Human-Guided Moral Decision Making in Text-based Games |
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Large Language Models Are Neurosymbolic Reasoners |
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CHBias: Bias Evaluation and Mitigation of Chinese Conversational Language Models |
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NLG Evaluation Metrics Beyond Correlation Analysis: An Empirical Metric Preference Checklist |
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A Survey for Efficient Open Domain Question Answering |
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Stay Moral and Explore: Learn to Behave Morally in Text-based Games |
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Interpretable Reward Redistribution in Reinforcement Learning: A Causal Approach |
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COOM: A Game Benchmark for Continual Reinforcement Learning |
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Perceiving the World: Question-guided Reinforcement Learning for Text-based Games |
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Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games |
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A Model-agnostic Data Manipulation Method for Persona-based Dialogue Generation |
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Rethinking Goal-Conditioned Supervised Learning and Its Connection to Offline RL |
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TASA: Deceiving Question Answering Models by Twin Answer Sentences Attack |
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Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics |
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Phrase-level Textual Adversarial Attack with Label Preservation |
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Generalization in Text-based Games via Hierarchical Reinforcement Learning |
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DAGN: Discourse-Aware Graph Network for Logical Reasoning |
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Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games |
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Curriculum-guided hindsight experience replay |
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DHER: Hindsight experience replay for dynamic goals |
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Bag: Bi-directional attention entity graph convolutional network for multi-hop reasoning question answering |
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Learning how to Active Learn: A Deep Reinforcement Learning Approach |
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Model transfer for tagging low-resource languages using a bilingual dictionary |
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Networked bandits with disjoint linear payoffs |
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| Awards |
| Acknowledgements I would like to thank all my collaborators, interns and students. |
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