← Authors

Maarten de Rijke

67 papers · 2004–2026 · 13 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (13) 🌈 Renaissance Researcher (9) 🐝 Cross-Pollinator (8) 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (21) πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (16) πŸ”¬ Deep Specialist (13) 🧬 Topic Evolution πŸ† Keyword Champion πŸš€ Conference Pioneer ⚑ Prolific Year (7) ❓ The Questioner (4) πŸ—ƒοΈ Keyword Collector (248) πŸ’Ž Century Club (64) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8)

Conferences

ACL (21) AAAI (13) EMNLP (12) IJCNLP (4) NAACL (3) COLING (2) EACL (2) ICLR (2) IJCAI (2) NIPS (2) UAI (2) AISTATS (1) SEMEVAL (1)

Top co-authors

Pengjie Ren (16) Zhaochun Ren (12) Zhumin Chen (11) Xueqi Cheng (8) Ruqing Zhang (8) Jiafeng Guo (8) Wouter Weerkamp (6) Evangelos Kanoulas (5) Julia Kiseleva (4) Dawei Yin (4)

Keywords

information retrieval (9) dialogue system (7) large language model (7) reinforcement learning (5) retrieval-augmented generation (5) document retrieval (5) language model (4) contrastive learning (4) adversarial learning (3) online learning (3) task-oriented dialogue (3) regret bound (3) adversarial training (3) malevolence detection (3) transfer learning (2) learning to rank (2) natural language understanding (2) dense retrieval (2) low-resource language (2) zero-shot learning (2)

Papers

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