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• Can Llms Reason In The Wild With Programs?
  2024 · 29 citations
• Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
  2024 · 16 citations
• Incorporating Relational Background Knowledge into Reinforcement Learning via Differentiable Inductive Logic Programming
  2020 · 9 citations
• Mitigating Group Bias in Federated Learning: Beyond Local Fairness
  2023 · 2 citations
• FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
  2026
• FAMA: Failure-Aware Meta-Agentic Framework for Open-Source LLMs in Interactive Tool Use Environments
  2026
• Benchmarking LLMs for Political Science: A United Nations Perspective
  2025
• How Can Input Reformulation Improve Tool Usage Accuracy in a Complex Dynamic Environment? A Study on τ-bench
  2025
• Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
  2025
• Friends in Unexpected Places: Enhancing Local Fairness in Federated Learning through Clustering
  2024
• Not All Federated Learning Algorithms Are Created Equal: A Performance Evaluation Study
  2024
• LightPure: Realtime Adversarial Image Purification for Mobile Devices Using Diffusion Models
  2024
• Can Knowledge Editing Really Correct Hallucinations?
  2024