Awesome Information Retrieval

Key papers

• Cartridges at Scale: Training Modular KV Caches over Large Document Collections (2026)
  Momchil Hardalov et al.
  5.49
• Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement (2025)
  Chenyu Lin et al.
  5.46
• ANN Search: Recall What Matters (2026)
  Dimitris Dimitropoulos et al.
  5.01
• QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples (2026)
  Mengao Zhang et al.
  4.39
• Archi: Agentic Operations at the CMS Experiment (2026)
  Pietro Lugato et al.
  4.39
• High Fidelity Textual User Representation over Heterogeneous Sources via Reinforcement Learning (2026)
  Rajat Arora et al.
  1.78
• Reinforcement-Learned Unequal Error Protection for Quantized Semantic Embeddings (2026)
  Moirangthem Tiken Singh et al.
  1.72
• SRAS: A Lightweight Reinforcement Learning-based Document Selector for Edge-Native RAG Pipelines (2026)
  Rajiv Chaitanya Muttur
  1.72
• Beyond Single-Shot: Multi-step Tool Retrieval via Query Planning (2026)
  Wei Fang and James Glass
  1.72
• An agentic system with reinforcement-learned subsystem improvements for parsing form-like documents (2025)
  Ayesha Amjad et al.
  1.28
• Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO (2025)
  Ran Li et al.
  1.28
• Sustainable Online Reinforcement Learning For Auto-bidding (2022)
  Zhiyu Mou, Yusen Huo, Rongquan Bai, et al.
  0.00
• Efficient Counterfactual Learning from Bandit Feedback (2018)
  Yusuke Narita et al.
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• Reinforcement Knowledge Graph Reasoning for Explainable Recommendation (2019)
  Yikun Xian et al.
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• Combinatorial Keyword Recommendations for Sponsored Search with Deep Reinforcement Learning (2019)
  Zhipeng Li et al.
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• Blending Search and Discovery: Tag-Based Query Refinement with Contextual Reinforcement Learning (2020)
  Bingqing Yu and Jacopo Tagliabue
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• An Efficient Combinatorial Optimization Model Using Learning-to-Rank Distillation (2022)
  Honguk Woo et al.
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• Automating DBSCAN via Deep Reinforcement Learning (2022)
  Ruitong Zhang et al.
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• Optimal Baseline Corrections for Off-Policy Contextual Bandits (2024)
  Shashank Gupta et al.
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• Lightweight and Direct Document Relevance Optimization for Generative Information Retrieval (2025)
  Kidist Amde Mekonnen et al.
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• ChronoID: Infusing Explicit Temporal Signals into Semantic IDs for Generative Recommendation (2026)
  Dongdong Nian et al.
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• On the Memorization Behavior of LLMs in Generative Recommendation: Observations, Implications, and Training Strategies (2026)
  Sunwoo Kim et al.
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• Designing Recommendation Exposure and Favorite Lists: A Field Experiment in a Spot-Work Platform (2026)
  Kazuki Sekiya et al.
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• RankGraph-2: Lifecycle Co-Design for Billion-Node Graph Learning in Recommendation (2026)
  Renzhi Wu et al.
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• Compact Geometric Representations of Hierarchies (2026)
  Prashant Gokhale et al.
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• TW-LegalBench: Measuring Taiwanese Legal Understanding (2026)
  Fei-Yueh Chen et al.
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• SHIFT: Semantic Harmonization via Index-side Feature Transformation for Multilingual Information Retrieval (2026)
  Youngjoon Jang et al.
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• Rescaling MLM-Head for Neural Sparse Retrieval (2026)
  Youngjoon Jang et al.
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• SAERec: Constructing Fine-grained Interpretable Intents Priors via Sparse Autoencoders for Recommendation (2026)
  Jiangnan Xia et al.
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• Decoupling Search from Reasoning: A Vendor-Agnostic Grounding Architecture for LLM Agents (2026)
  Emmanuel Aboah Boateng et al.
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