Maarten de Rijke

LiRA: A Multi-Agent Framework for Reliable and Readable Literature Review Generation AAAI 2026 Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning AAAI 2026 Query Decomposition for RAG: Balancing Exploration-Exploitation EACL 2026 Distributional Reinforcement Learning with Dual Expectile-Quantile Regression UAI 2025 A Comprehensive Taxonomy of Negation for NLP and Neural Retrievers EMNLP 2025 MACPO: Weak-to-Strong Alignment via Multi-Agent Contrastive Preference Optimization ICLR 2025 Controlled Retrieval-augmented Context Evaluation for Long-form RAG EMNLP 2025 Evaluation of Attribution Bias in Generator-Aware Retrieval-Augmented Large Language Models ACL 2025 The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems ACL 2025 Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval ACL 2025 What if Othello-Playing Language Models Could See? EMNLP 2025 Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models AAAI 2025 ExcluIR: Exclusionary Neural Information Retrieval AAAI 2025 CAUSE: Counterfactual Assessment of User Satisfaction Estimation in Task-Oriented Dialogue Systems ACL 2024 Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval ACL 2024 MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning ACL 2024 The SIFo Benchmark: Investigating the Sequential Instruction Following Ability of Large Language Models EMNLP 2024 KnowTuning: Knowledge-aware Fine-tuning for Large Language Models EMNLP 2024 Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method EMNLP 2024 Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off AAAI 2024 Table Question Answering for Low-resourced Indic Languages EMNLP 2024 Context Does Matter: Implications for Crowdsourced Evaluation Labels in Task-Oriented Dialogue Systems NAACL 2024 Generative Retrieval Meets Multi-Graded Relevance NIPS 2024 Real World Conversational Entity Linking Requires More Than Zero-Shots ACL 2024 MultiTabQA: Generating Tabular Answers for Multi-Table Question Answering ACL 2023 Feature-Level Debiased Natural Language Understanding AAAI 2023 Contrastive Learning Reduces Hallucination in Conversations AAAI 2023 Answering Ambiguous Questions via Iterative Prompting ACL 2023 Generalizing Few-Shot Named Entity Recognizers to Unseen Domains with Type-Related Features EMNLP 2023 From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification EMNLP 2023 Parameter-Efficient Abstractive Question Answering over Tables or Text ACL 2022 Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement ACL 2022 CF-GNNExplainer: Counterfactual Explanations for Graph Neural Networks AISTATS 2022 What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research NAACL 2022 Reproducibility as a Mechanism for Teaching Fairness, Accountability, Confidentiality, and Transparency in Artificial Intelligence AAAI 2022 FOCUS: Flexible Optimizable Counterfactual Explanations for Tree Ensembles AAAI 2022 News Article Retrieval in Context for Event-centric Narrative Creation ACL 2022 Unifying Online and Counterfactual Learning to Rank: A Novel Counterfactual Estimator that Effectively Utilizes Online Interventions (Extended Abstract) IJCAI 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance ACL 2021 A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues ACL 2021 Learning to Ask Conversational Questions by Optimizing Levenshtein Distance IJCNLP 2021 A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues IJCNLP 2021 Thinking Globally, Acting Locally: Distantly Supervised Global-to-Local Knowledge Selection for Background Based Conversation AAAI 2020 Guided Dialogue Policy Learning without Adversarial Learning in the Loop EMNLP 2020 Rethinking Supervised Learning and Reinforcement Learning in Task-Oriented Dialogue Systems EMNLP 2020 RefNet: A Reference-Aware Network for Background Based Conversation AAAI 2020 Dialogue Generation: From Imitation Learning to Inverse Reinforcement Learning AAAI 2019 BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback UAI 2019 Cascading Non-Stationary Bandits: Online Learning to Rank in the Non-Stationary Cascade Model IJCAI 2019 RepeatNet: A Repeat Aware Neural Recommendation Machine for Session-Based Recommendation AAAI 2019 Deep Learning with Logged Bandit Feedback ICLR 2018 Why are Sequence-to-Sequence Models So Dull? Understanding the Low-Diversity Problem of Chatbots EMNLP 2018 Siamese CBOW: Optimizing Word Embeddings for Sentence Representations ACL 2016 Copeland Dueling Bandits NIPS 2015 Learning to Explain Entity Relationships in Knowledge Graphs IJCNLP 2015 Learning to Explain Entity Relationships in Knowledge Graphs ACL 2015 Prior-informed Distant Supervision for Temporal Evidence Classification COLING 2014 Generating Focused Topic-Specific Sentiment Lexicons ACL 2010 A Generative Blog Post Retrieval Model that Uses Query Expansion based on External Collections IJCNLP 2009 A Generative Blog Post Retrieval Model that Uses Query Expansion based on External Collections ACL 2009 Credibility Improves Topical Blog Post Retrieval ACL 2008 UVA: Language Modeling Techniques for Web People Search SEMEVAL 2007 A Cascaded Machine Learning Approach to Interpreting Temporal Expressions NAACL 2007 Why Are They Excited? Identifying and Explaining Spikes in Blog Mood Levels EACL 2006 Enriching the Output of a Parser Using Memory-based Learning ACL 2004 Information Extraction for Question Answering: Improving Recall Through Syntactic Patterns COLING 2004 Alternative approaches for Generating Bodies of Grammar Rules ACL 2004