Jingcheng Niu

According to our database, Jingcheng Niu authored at least 21 papers between 2019 and 2026.

Collaborative distances:

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

2026

All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs.

Xi Chen, Mingyu Jin, Jingcheng Niu, Yutong Yin, Jinman Zhao, Bangwei Guo, Dimitris N. Metaxas, Zhaoran Wang, Yutao Yue, Gerald Penn

CoRR, May, 2026

RealRoute: Dynamic Query Routing System via Retrieve-then-Verify Paradigm.

Jiahe Liu, Qinkai Yu, Jingcheng Niu, Xi Zhu, Zirui He, Zhen Xiang, Fan Yang, Jinman Zhao

CoRR, April, 2026

Skill-RAG: Failure-State-Aware Retrieval Augmentation via Hidden-State Probing and Skill Routing.

Kai Wei, Raymond Li, Xi Zhu, Zhaoqian Xue, Jiaojiao Han, Jingcheng Niu, Fan Yang

CoRR, April, 2026

Farther the Shift, Sparser the Representation: Analyzing OOD Mechanisms in LLMs.

Mingyu Jin, Yutong Yin, Jingcheng Niu, Qingcheng Zeng, Wujiang Xu, Mengnan Du, Wei Cheng, Zhaoran Wang, Tianlong Chen, Dimitris N. Metaxas

CoRR, March, 2026

Hypothesis-Driven Feature Manifold Analysis in LLMs via Supervised Multi-Dimensional Scaling.

Federico Tiblias, Irina Bigoulaeva, Jingcheng Niu, Simone Balloccu, Iryna Gurevych

Trans. Mach. Learn. Res., 2026

2025

Shape Happens: Automatic Feature Manifold Discovery in LLMs via Supervised Multi-Dimensional Scaling.

Federico Tiblias, Irina Bigoulaeva, Jingcheng Niu, Simone Balloccu, Iryna Gurevych

CoRR, October, 2025

Illusion or Algorithm? Investigating Memorization, Emergence, and Symbolic Processing in In-Context Learning.

Jingcheng Niu, Subhabrata Dutta, Ahmed Elshabrawy, Harish Tayyar Madabushi, Iryna Gurevych

Trans. Mach. Learn. Res., 2025

Tiny Budgets, Big Gains: Parameter Placement Strategy in Parameter Super-Efficient Fine-Tuning.

Jinman Zhao, Xueyan Zhang, Jiaru Li, Jingcheng Niu, Yulan Hu, Erxue Min, Gerald Penn

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

Sheaf Discovery with Joint Computation Graph Pruning and Flexible Granularity.

Lei Yu, Jingcheng Niu, Zining Zhu, Xi Chen, Gerald Penn

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

Llama See, Llama Do: A Mechanistic Perspective on Contextual Entrainment and Distraction in LLMs.

Jingcheng Niu, Xingdi Yuan, Tong Wang, Hamidreza Saghir, Amir H. Abdi

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Functional Faithfulness in the Wild: Circuit Discovery with Differentiable Computation Graph Pruning.

Lei Yu, Jingcheng Niu, Zining Zhu, Gerald Penn

CoRR, 2024

What does the Knowledge Neuron Thesis Have to do with Knowledge?

Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn

Proceedings of the Twelfth International Conference on Learning Representations, 2024

ConTempo: A Unified Temporally Contrastive Framework for Temporal Relation Extraction.

Jingcheng Niu, Saifei Liao, Victoria Ng, Simon de Montigny, Gerald Penn

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

2023

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhom, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar, Bencheng Wei, Iris Ren, Waqar Muhammad, Erin Li, Bukola Ishola, Michael Wang, Griffin Tanner, Yu-Jia Shiah, Sean X. Zhang, Kwesi P. Apponsah, Kanishk Patel, Jaswinder Narain, Deval Pandya, Xiaodan Zhu, Frank Rudzicz, Elham Dolatabadi

CoRR, 2023

2022

Bringing the State-of-the-Art to Customers: A Neural Agent Assistant Framework for Customer Service Support.

Stephen Obadinma, Faiza Khan Khattak, Shirley Wang, Tania Sidhorn, Elaine Lau, Sean Robertson, Jingcheng Niu, Winnie Au, Alif Munim, Karthik Raja K. Bhaskar

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

Does BERT Rediscover a Classical NLP Pipeline?

Jingcheng Niu, Wenjie Lu, Gerald Penn

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Using Roark-Hollingshead Distance to Probe BERT's Syntactic Competence.

Jingcheng Niu, Wenjie Lu, Eric Corlett, Gerald Penn

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2021

Statistically Evaluating Social Media Sentiment Trends towards COVID-19 Non-Pharmaceutical Interventions with Event Studies.

Jingcheng Niu, Erin E. Rees, Victoria Ng, Gerald Penn

Proceedings of the Sixth Social Media Mining for Health Workshop and Shared Task, 2021

2020

Temporal Histories of Epidemic Events (THEE): A Case Study in Temporal Annotation for Public Health.

Jingcheng Niu, Victoria Ng, Gerald Penn, Erin E. Rees

Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Grammaticality and Language Modelling.

Jingcheng Niu, Gerald Penn

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

2019

Rationally Reappraising ATIS-based Dialogue Systems.

Jingcheng Niu, Gerald Penn

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019