Published 'Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification' at EMNLP Findings 2025 (corresponding author).
Published 'AutoEvolve: Automatically Evolving Queries for Applicable and Scalable Retrieval-Augmented Generation Benchmarking' at EMNLP Findings 2025.
Published 'LLMs Can Simulate Standardized Patients via Agent Coevolution' at ACL 2025 (Main Conference).
Published 'Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons' at WWW 2025 (Industrial Track, Oral; equal contribution).
Published 'PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations' at NeurIPS 2024 (Datasets and Benchmarks Track, Spotlight).
Published 'CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite' at COLING 2024.
Published 'A Progressively-Passing-then-Disentangling Approach to Recipe Recommendation' in IEEE TMM 2025.
Published 'Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning' at AAAI 2024 (equal contribution).
Published 'Robust Image Ordinal Regression with Controllable Image Generation' at IJCAI 2023.
Published 'Robust Training of Graph Neural Networks via Noise Governance' at IJCAI (with code).