Xiangliang Zhang

papers

523

total citations

papers (10)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

ICLR 2025arXiv

229

citations

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

NEURIPS 2023arXiv

221

citations

Towards Improving Faithfulness in Abstractive Summarization

NEURIPS 2022arXiv

citations

DataGen: Unified Synthetic Dataset Generation via Large Language Models

ICLR 2025arXiv

citations

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

NEURIPS 2020arXiv

citations

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

NEURIPS 2025arXiv

citations

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

AAAI 2025

citations

Xiangliang Zhang

papers (10)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Towards Improving Faithfulness in Abstractive Summarization

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Position: TrustLLM: Trustworthiness in Large Language Models

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data

papers (10)

Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

What can Large Language Models do in chemistry? A comprehensive benchmark on eight tasks

Towards Improving Faithfulness in Abstractive Summarization

DataGen: Unified Synthetic Dataset Generation via Large Language Models

Temporal Positive-unlabeled Learning for Biomedical Hypothesis Generation via Risk Estimation

Adaptive Distraction: Probing LLM Contextual Robustness with Automated Tree Search

Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Position: TrustLLM: Trustworthiness in Large Language Models

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data