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Sharon Li

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Papers (14)

  1. Auditing Agent Harness Safety cs.CL · 2026 · author #9
  2. Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks cs.CV · 2026 · author #2
  3. TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training cs.AI · 2026 · author #8
  4. Can LLMs Learn to Reason Robustly under Noisy Supervision? cs.LG · 2026 · author #4
  5. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation cs.CV · 2026 · author #5
  6. How Retrieved Context Shapes Internal Representations in RAG cs.CL · 2026 · author #2
  7. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities cs.AI · 2026 · author #11
  8. How Do Transformers Learn to Associate Tokens: Gradient Leading Terms Bring Mechanistic Interpretability cs.CL · 2026 · author #4
  9. ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation cs.CL · 2026 · author #2
  10. When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning cs.AI · 2025 · author #3
  11. Detecting Distillation Data from Reasoning Models cs.CL · 2025 · author #3
  12. Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation stat.ML · 2025 · author #6
  13. GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models cs.CV · 2025 · author #4
  14. Distributional Statistics Restore Training Data Auditability in One-step Distilled Diffusion Models cs.LG · 2025 · author #3

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