Xinliang Frederick Zhang

According to our database, Xinliang Frederick Zhang authored at least 21 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

TSUBASA: Improving Long-Horizon Personalization via Evolving Memory and Self-Learning with Context Distillation.

Xinliang Frederick Zhang, Lu Wang

CoRR, April, 2026

Do LLMs Really Need 10+ Thoughts for "Find the Time 1000 Days Later"? Towards Structural Understanding of LLM Overthinking.

Xinliang Frederick Zhang, Anhad Mohananey, Alexandra Chronopoulou, Pinelopi Papalampidi, Somit Gupta, Tsendsuren Munkhdalai, Lu Wang, Shyam Upadhyay

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Logit Arithmetic Elicits Long Reasoning Capabilities Without Training.

Yunxiang Zhang, Muhammad Khalifa, Lechen Zhang, Xin Liu, Ayoung Lee, Xinliang Frederick Zhang, Farima Fatahi Bayat, Lu Wang

CoRR, July, 2025

PRIME: Large Language Model Personalization with Cognitive Memory and Thought Processes.

Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang

CoRR, July, 2025

FINDR: A Fast Influential Data Selector for NL2Code Pretraining.

Xinliang Frederick Zhang, Lu Wang

Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

PRIME: Large Language Model Personalization with Cognitive Dual-Memory and Personalized Thought Process.

Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Refinement.

Xinliang Frederick Zhang, Carter Wood Blum, Temma Choji, Shalin Shah, Alakananda Vempala

CoRR, 2024

MOKA: Moral Knowledge Augmentation for Moral Event Extraction.

Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Narrative-of-Thought: Improving Temporal Reasoning of Large Language Models via Recounted Narratives.

Xinliang Frederick Zhang, Nicholas Beauchamp, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ULTRA: Unleash LLMs' Potential for Event Argument Extraction through Hierarchical Modeling and Pair-wise Self-Refinement.

Xinliang Frederick Zhang, Carter Wood Blum, Temma Choji, Shalin Shah, Alakananda Vempala

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting.

Kaijian Zou, Xinliang Frederick Zhang, Winston Wu, Nicholas Beauchamp, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison.

Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou, Ruihong Huang, Nicholas Beauchamp, Lu Wang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

You Are What You Annotate: Towards Better Models through Annotator Representations.

Naihao Deng, Xinliang Frederick Zhang, Siyang Liu, Winston Wu, Lu Wang, Rada Mihalcea

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

POLITICS: Pretraining with Same-story Article Comparison for Ideology Prediction and Stance Detection.

Yujian Liu, Xinliang Frederick Zhang, David Wegsman, Nicholas Beauchamp, Lu Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Generative Entity-to-Entity Stance Detection with Knowledge Graph Augmentation.

Xinliang Frederick Zhang, Nick Beauchamp, Lu Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Late Fusion with Triplet Margin Objective for Multimodal Ideology Prediction and Analysis.

Changyuan Qiu, Winston Wu, Xinliang Frederick Zhang, Lu Wang

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Towards More Robust Natural Language Understanding.

Xinliang Frederick Zhang

CoRR, 2021

Identifying inherent disagreement in natural language inference.

Xinliang Frederick Zhang, Marie-Catherine de Marneffe

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.

Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Simon M. Lin, Huan Sun

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CliniQG4QA: Generating Diverse Questions for Domain Adaptation of Clinical Question Answering.

Xiang Yue, Xinliang Frederick Zhang, Ziyu Yao, Simon M. Lin, Huan Sun

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

COUGH: A Challenge Dataset and Models for COVID-19 FAQ Retrieval.

Xinliang Frederick Zhang, Heming Sun, Xiang Yue, Emmett Jesrani, Simon M. Lin, Huan Sun

CoRR, 2020