Papers

• Autonomous Collaborative Learning Among an Ensemble of Tsetlin Machines with Consensus-Based Inference (2026)
  Yehuda Rudin et al.
  4.39
• EvoFSM: Controllable Self-Evolution for Deep Research with Finite State Machines (2026)
  Shuo Zhang et al.
  1.94
• Toward Ultra-Long-Horizon Agentic Science: Cognitive Accumulation for Machine Learning Engineering (2026)
  Xinyu Zhu et al.
  1.94
• FactReview: Evidence-Grounded Reviews with Literature Positioning and Execution-Based Claim Verification (2026)
  Hang Xu et al.
  1.94
• MAAT: Multi-phase Adapter-Aware Targeted Unlearning (2026)
  Suryash Yagnik et al.
  1.94
• MLEvolve: A Self-Evolving Framework for Automated Machine Learning Algorithm Discovery (2026)
  Shangheng Du et al.
  1.94
• Synthetic Sandbox for Training Machine Learning Engineering Agents (2026)
  Yuhang Zhou et al.
  1.83
• Universal Reasoner: A Single, Composable Plug-and-Play Reasoner for Frozen LLMs (2025)
  Jaemin Kim et al.
  1.28
• A Graph Perspective to Probe Structural Patterns of Knowledge in Large Language Models (2025)
  Utkarsh Sahu et al.
  1.28
• Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents (2025)
  Jenny Zhang et al.
  1.28
• AutoMind: Adaptive Knowledgeable Agent for Automated Data Science (2025)
  Yixin Ou et al.
  1.28
• RExBench: Can coding agents autonomously implement AI research extensions? (2025)
  Nicholas Edwards et al.
  1.28
• Efficient Machine Unlearning via Influence Approximation (2025)
  Jiawei Liu et al.
  1.28
• SHAMI-MT: A Syrian Arabic Dialect to Modern Standard Arabic Bidirectional Machine Translation System (2025)
  Serry Sibaee et al.
  1.28
• DrugReasoner: Interpretable Drug Approval Prediction with a Reasoning-augmented Language Model (2025)
  Mohammadreza Ghaffarzadeh-Esfahani et al.
  1.28
• Scrub It Out! Erasing Sensitive Memorization in Code Language Models via Machine Unlearning (2025)
  Zhaoyang Chu et al.
  1.28
• Agentic Design of Compositional Machines (2025)
  Wenqian Zhang et al.
  1.28
• Beyond English: Toward Inclusive and Scalable Multilingual Machine Translation with LLMs (2025)
  Yingfeng Luo et al.
  1.28
• Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts (2023)
  Ganesh Jawahar et al.
  —
• ArzEn-LLM: Code-Switched Egyptian Arabic-English Translation and Speech Recognition Using LLMs (2024)
  Ahmed Heakl et al.
  —
• Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis (2024)
  Hippolyte Gisserot-Boukhlef et al.
  —