Key papers

• AIriskEval-edu: New Dataset for Risk Assessment in AI-mediated K-12 Educational Explanations (2026)
  Javier Irigoyen et al.
  5.01
• EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL (2026)
  Jiawei Zhou et al.
  5.01
• A State-of-the-Art SQL Reasoning Model using RLVR (2025)
  Alnur Ali et al.
  4.64
• A knowledge-augmented dataset of high-risk driving scenarios with LLM annotations for autonomous driving (2026)
  Heye Huang et al.
  4.39
• BubbleSH: A Dataset of Rising Bubbles with Deformable Interfaces (2026)
  Rachna Ramesh et al.
  4.39
• Agentic Data Environments (2026)
  Elaine Ang et al.
  4.39
• Oracle Agent Memory as an Enterprise Memory Substrate for Long-Horizon AI Agents (2026)
  Richmond Alake et al.
  4.39
• AgentTrails: Towards Trust and Reuse for Agentic Tasks (2026)
  Eden Wu et al.
  4.39
• TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis (2026)
  Isabel Xu (The Overlake School) et al.
  4.39
• Auto-Fill: Learning to Predict Missing Values Accurately with Specialist Language Models (2026)
  Yurong Liu et al.
  4.39
• Plausibility-Driven Prioritization of Candidate Biomedical Annotations (2026)
  Emanuele Cavalleri et al.
  4.39
• Demonstrating GenDB: Instance-Optimized and Customized Query Processing Code Generation via LLM Agents (2026)
  Jiale Lao et al.
  4.39
• Chess\_db: A framework for working with large chess game datasets (2026)
  Nicos Angelopoulos (University College et al.
  4.39
• LLaPipe: LLM-Guided Reinforcement Learning for Automated Data Preparation Pipeline Construction (2025)
  Jing Chang et al.
  2.93
• Graph-Reward-SQL: Execution-Free Reinforcement Learning for Text-to-SQL via Graph Matching and Stepwise Reward (2025)
  Han Weng et al.
  2.82
• Think2SQL: Reinforce LLM Reasoning Capabilities for Text2SQL (2025)
  Simone Papicchio and Simone Rossi and Luca Cagliero and Paolo Papotti
  2.76
• Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL (2025)
  Mohammadreza Pourreza et al.
  2.71
• FINER-SQL: Boosting Small Language Models for Text-to-SQL (2026)
  Thanh Dat Hoang et al.
  1.89
• VeriX-Anon: A Multi-Layered Framework for Mathematically Verifiable Outsourced Target-Driven Data Anonymization (2026)
  Miit Daga et al.
  1.83
• RELOAD: A Robust and Efficient Learned Query Optimizer for Database Systems (2026)
  Seokwon Lee et al.
  1.83
• EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce (2026)
  Minhyeong Yu et al.
  1.83
• Prior-Aligned Data Cleaning for Tabular Foundation Models (2026)
  Laure Berti-Equille
  1.83
• Approximate Nearest Neighbor Search for Modern AI: A Projection-Augmented Graph Approach (2026)
  Kejing Lu et al.
  1.78
• DSL-R1: From SQL to DSL for Training Retrieval Agents across Structured and Unstructured Data with Reinforcement Learning (2026)
  Yunhai Hu et al.
  1.78
• TKG-Thinker: Towards Dynamic Reasoning over Temporal Knowledge Graphs via Agentic Reinforcement Learning (2026)
  Zihao Jiang et al.
  1.72
• QJoin: Transformation-aware Joinable Data Discovery Using Reinforcement Learning (2025)
  Ning Wang and Sainyam Galhotra
  1.61
• L2T-Tune:LLM-Guided Hybrid Database Tuning with LHS and TD3 (2025)
  Xinyue Yang et al.
  1.56
• DemoTuner: Automatic Performance Tuning for Database Management Systems Based on Demonstration Reinforcement Learning (2025)
  Hui Dou et al.
  1.56
• CroTad: A Contrastive Reinforcement Learning Framework for Online Trajectory Anomaly Detection (2025)
  Rui Xue et al.
  1.56
• HES-SQL: Hybrid Reasoning for Efficient Text-to-SQL with Structural Skeleton Guidance (2025)
  Suming Qiu et al.
  1.50
• Cold-RL: Learning Cache Eviction with Offline Reinforcement Learning for NGINX (2025)
  Aayush Gupta and Arpit Bhayani
  1.39
• SoftPipe: A Soft-Guided Reinforcement Learning Framework for Automated Data Preparation (2025)
  Jing Chang et al.
  1.33
• AutoIndexer: A Reinforcement Learning-Enhanced Index Advisor Towards Scaling Workloads (2025)
  Taiyi Wang et al.
  1.33
• BQSched: A Non-intrusive Scheduler for Batch Concurrent Queries via Reinforcement Learning (2025)
  Chenhao Xu et al.
  1.17
• RLOMM: An Efficient and Robust Online Map Matching Framework with Reinforcement Learning (2025)
  Minxiao Chen et al.
  1.06
• Learning to Optimize LSM-trees: Towards A Reinforcement Learning based Key-Value Store for Dynamic Workloads (2023)
  Dingheng Mo et al.
  —
• FOSS: A Self-Learned Doctor for Query Optimizer (2023)
  Kai Zhong and Luming Sun and Tao Ji and Cuiping Li and Hong Chen
  —
• IA2: Leveraging Instance-Aware Index Advisor with Reinforcement Learning for Diverse Workloads (2024)
  Taiyi Wang et al.
  —
• Hype or Heuristic? Quantum Reinforcement Learning for Join Order Optimisation (2024)
  Maja Franz et al.
  —
• KnobTree: Intelligent Database Parameter Configuration via Explainable Reinforcement Learning (2024)
  Jiahan Chen et al.
  —
• ILAEDA: An Imitation Learning Based Approach for Automatic Exploratory Data Analysis (2024)
  Abhijit Manatkar et al.
  —