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Xinran Zhao

19 papers · 2020–2025 · 7 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (6) πŸƒ Academic Marathon (5) 🌍 Conference Polyglot (7) πŸ—ΊοΈ Taxonomy Completionist (35)
🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (7) 🀝 Dynamic Duo (10) ❓ The Questioner ⚑ Prolific Year (5) πŸ’Ž Century Club (19) πŸ—ƒοΈ Keyword Collector (70) πŸ”₯ Unstoppable (6)

Conferences

ACL (7) EMNLP (6) IJCNLP (2) ICCV (1) ICLR (1) NAACL (1) NIPS (1)

Papers

SPHERE: An Evaluation Card for Human-AI Systems ACL 2025 MoR: Better Handling Diverse Queries with a Mixture of Sparse, Dense, and Human Retrievers EMNLP 2025 Improving Large Language Model Planning with Action Sequence Similarity ICLR 2025 cAST: Enhancing Code Retrieval-Augmented Generation with Structural Chunking via Abstract Syntax Tree EMNLP 2025 MixGR: Enhancing Retriever Generalization for Scientific Domain through Complementary Granularity EMNLP 2024 GeoHard: Towards Measuring Class-wise Hardness through Modelling Class Semantics ACL 2024 Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models ACL 2024 Dense X Retrieval: What Retrieval Granularity Should We Use? EMNLP 2024 Video State-Changing Object Segmentation ICCV 2023 Thrust: Adaptively Propels Large Language Models with External Knowledge NIPS 2023 Towards Reference-free Text Simplification Evaluation with a BERT Siamese Network Architecture ACL 2023 Weakly Supervised Text Classification using Supervision Signals from a Language Model NAACL 2022 On Measuring the Intrinsic Few-Shot Hardness of Datasets EMNLP 2022 A Brief Survey and Comparative Study of Recent Development of Pronoun Coreference Resolution in English EMNLP 2021 Leveraging Topic Relatedness for Argument Persuasion ACL 2021 Probing Toxic Content in Large Pre-Trained Language Models ACL 2021 Probing Toxic Content in Large Pre-Trained Language Models IJCNLP 2021 Leveraging Topic Relatedness for Argument Persuasion IJCNLP 2021 WinoWhy: A Deep Diagnosis of Essential Commonsense Knowledge for Answering Winograd Schema Challenge ACL 2020