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• RecoWorld: Building Simulated Environments for Agentic Recommender Systems
  2025 · 8 citations
• Agentic Recommender System with Hierarchical Belief-State Memory
  2026
• ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning
  2026
• Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning
  2026
• SWE-Together: Evaluating Coding Agents in Interactive User Sessions
  2026
• TARo: Token-level Adaptive Routing for LLM Test-time Alignment
  2026
• Principled Synthetic Data Enables the First Scaling Laws for LLMs in Recommendation
  2026
• Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
  2025
• Mixture-of-Minds: Multi-Agent Reinforcement Learning for Table Understanding
  2025
• S'MoRE: Structural Mixture of Residual Experts for Parameter-Efficient LLM Fine-tuning
  2025
• CAFe: Unifying Representation and Generation with Contrastive-Autoregressive Finetuning
  2025
• Deep Retrieval: Learning A Retrievable Structure for Large-Scale Recommendations
  2020
• Quantifying Generalization Complexity for Large Language Models
  2024