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Aidong Zhang

Identifiers

  • name variant Aidong Zhang 0.60 · backfill

Papers (55)

  1. Towards Robustness against Typographic Attack with Training-free Concept Localization cs.CV · 2026 · author #6
  2. Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning cs.CV · 2026 · author #5
  3. A Sober Look at Agentic Misalignment in Automated Workflows cs.AI · 2026 · author #7
  4. Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models cs.CV · 2026 · author #5
  5. Med-V1: Small Language Models for Zero-shot and Scalable Biomedical Evidence Attribution cs.CL · 2026 · author #12
  6. MathlibLemma: Folklore Lemma Generation and Benchmark for Formal Mathematics cs.LO · 2026 · author #7
  7. GCAV: A Global Concept Activation Vector Framework for Cross-Layer Consistency in Interpretability cs.CV · 2025 · author #4
  8. Improving Group Robustness on Spurious Correlation via Evidential Alignment cs.LG · 2025 · author #3
  9. MedCite: Can Language Models Generate Verifiable Text for Medicine? cs.CL · 2025 · author #6
  10. Cell-o1: Training LLMs to Solve Single-Cell Reasoning Puzzles with Reinforcement Learning cs.CL · 2025 · author #7
  11. NeuronTune: Towards Self-Guided Spurious Bias Mitigation cs.LG · 2025 · author #3
  12. A Comprehensive Survey on the Risks and Limitations of Concept-based Models cs.LG · 2025 · author #2
  13. Toward Reliable Scientific Hypothesis Generation: Evaluating Truthfulness and Hallucination in Large Language Models cs.CL · 2025 · author #8
  14. ShortcutProbe: Probing Prediction Shortcuts for Learning Robust Models cs.LG · 2025 · author #3
  15. TAMA: A Human-AI Collaborative Thematic Analysis Framework Using Multi-Agent LLMs for Clinical Interviews cs.HC · 2025 · author #7
  16. Supervising the search process produces reliable and generalizable information-seeking agents cs.CL · 2025 · author #12
  17. Client-Centric Federated Adaptive Optimization cs.LG · 2025 · author #4
  18. ASCENT-ViT: Attention-based Scale-aware Concept Learning Framework for Enhanced Alignment in Vision Transformers cs.CV · 2025 · author #3
  19. Ensuring Safety and Trust: Analyzing the Risks of Large Language Models in Medicine cs.CL · 2024 · author #16
  20. Towards 250-m gigabits-per-second underwater wireless optical communication using a low-complexity ANN equalizer physics.optics · 2024 · author #5
  21. Humans and Large Language Models in Clinical Decision Support: A Study with Medical Calculators cs.CL · 2024 · author #9
  22. Improving Scientific Hypothesis Generation with Knowledge Grounded Large Language Models cs.CL · 2024 · author #6
  23. IdeaBench: Benchmarking Large Language Models for Research Idea Generation cs.CL · 2024 · author #7
  24. Entry-level guide to the use of large language models for medical research cs.AI · 2024 · author #17
  25. Structural Causality-based Generalizable Concept Discovery Models cs.LG · 2024 · author #3
  26. ProtoNAM: Prototypical Neural Additive Models for Interpretable Deep Tabular Learning cs.LG · 2024 · author #3
  27. Benchmarking Spurious Bias in Few-Shot Image Classifiers cs.CV · 2024 · author #3
  28. Improving Retrieval-Augmented Generation in Medicine with Iterative Follow-up Questions cs.CL · 2024 · author #6
  29. CoLiDR: Concept Learning using Aggregated Disentangled Representations cs.LG · 2024 · author #3
  30. MedCalc-Bench: Evaluating Large Language Models for Medical Calculations cs.CL · 2024 · author #15
  31. Spuriousness-Aware Meta-Learning for Learning Robust Classifiers cs.CV · 2024 · author #3
  32. What is the Visual Cognition Gap between Humans and Multimodal LLMs? cs.CV · 2024 · author #10
  33. MAML-en-LLM: Model Agnostic Meta-Training of LLMs for Improved In-Context Learning cs.CL · 2024 · author #6
  34. Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation cs.LG · 2024 · author #3
  35. A Self-explaining Neural Architecture for Generalizable Concept Learning cs.LG · 2024 · author #3
  36. Benchmarking Retrieval-Augmented Generation for Medicine cs.CL · 2024 · author #4
  37. AdvST: Revisiting Data Augmentations for Single Domain Generalization cs.CV · 2023 · author #3
  38. On the Role of Server Momentum in Federated Learning cs.LG · 2023 · author #4
  39. On Task-personalized Multimodal Few-shot Learning for Visually-rich Document Entity Retrieval cs.AI · 2023 · author #4
  40. Solving a Class of Non-Convex Minimax Optimization in Federated Learning cs.LG · 2023 · author #4
  41. Federated Conditional Stochastic Optimization cs.LG · 2023 · author #5
  42. Learning for Counterfactual Fairness from Observational Data cs.LG · 2023 · author #3
  43. Enhance Diffusion to Improve Robust Generalization cs.LG · 2023 · author #3
  44. Understanding and Enhancing Robustness of Concept-based Models cs.LG · 2022 · author #4
  45. CLEAR: Generative Counterfactual Explanations on Graphs cs.LG · 2022 · author #4
  46. Learning Fair Node Representations with Graph Counterfactual Fairness cs.LG · 2022 · author #5
  47. Terrain-perception-free Quadrupedal Spinning Locomotion on Versatile Terrains: Modeling, Analysis, and Experimental Validation cs.RO · 2021 · author #6
  48. HetMAML: Task-Heterogeneous Model-Agnostic Meta-Learning for Few-Shot Learning Across Modalities cs.AI · 2021 · author #2
  49. A Survey on Causal Inference stat.ME · 2020 · author #6
  50. Incorporating Biological Knowledge with Factor Graph Neural Network for Interpretable Deep Learning q-bio.GN · 2019 · author #2
  51. Multi-view Factorization AutoEncoder with Network Constraints for Multi-omic Integrative Analysis cs.LG · 2018 · author #2
  52. AffinityNet: semi-supervised few-shot learning for disease type prediction cs.LG · 2018 · author #2
  53. Affinity Network Fusion and Semi-supervised Learning for Cancer Patient Clustering q-bio.QM · 2018 · author #2
  54. Integrate Multi-omic Data Using Affinity Network Fusion (ANF) for Cancer Patient Clustering q-bio.GN · 2017 · author #2
  55. Algorithms for Efficient Mining of Statistically Significant Attribute Association Information cs.DB · 2012 · author #2

Mentions

  • 2406.10424 #10 · arxiv_oai · confidence 0.70 Aidong Zhang
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  • 1208.3812 #2 · backfill · confidence 0.70 Aidong Zhang
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Frequent Coauthors