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Lingrui Mei

A Survey of Context Engineering for Large Language Models
2025 · Mei, Lingrui, Yao, Jiayu, et al. · arXiv (Cornell University) · 18
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SLANG: New Concept Comprehension of Large Language Models
2024 · Lingrui Mei, Shenghua Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 7
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LPNL: Scalable Link Prediction with Large Language Models
2024 · Baolong Bi, Shenghua Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 6
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A Survey of Vibe Coding with Large Language Models
2025 · Ge, Yuyao, Mei, Lingrui, et al. · arXiv (Cornell University) · 4
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Decoding by Contrasting Knowledge: Enhancing Large Language Model Confidence on Edited Facts
2025 · Baolong Bi, Shenghua Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 3
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Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
2025 · Yuyao Ge, Shenghua Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 3
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Context-DPO: Aligning Language Models for Context-Faithfulness
2025 · Baolong Bi, Shaohan Huang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 2
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Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
2024 · Ge, Yuyao, Liu, Shenghua, et al. · arXiv (Cornell University) · 2
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Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
2025 · Bi, Baolong, Liu, Shenghua, et al. · arXiv (Cornell University) · 1
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YuE: Scaling Open Foundation Models for Long-Form Music Generation
2025 · Yuan, Ruibin, Lin, Hanfeng, et al. · arXiv (Cornell University) · 1
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AdaptFlow: Adaptive Workflow Optimization via Meta-Learning
2025 · Runchuan Zhu, Bowen Jiang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
2025 · Jiayu Yao, Shenghua Liu, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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Context-DPO: Aligning Language Models for Context-Faithfulness
2024 · Bi, Baolong, Huang, Shaohan, et al. · arXiv (Cornell University) · 1
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Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
2024 · Bi, Baolong, Liu, Shenghua, et al. · arXiv (Cornell University) · 1
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Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents
2026 · Ge, Yuyao, Liu, Shenghua, et al. · arXiv (Cornell University)
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SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles
2026 · Ge, Yuyao, Wang, Yiwei, et al. · arXiv (Cornell University)
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Omni-Decision: Evidence-Ledger Planning for Omni-Modal Agents
2026 · Ma, Ming, Zhu, Yi, et al. · arXiv (Cornell University)
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HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
2026 · Association for Computational Linguistics 2026, Bi, Baolong, et al. · Underline Science Inc.
a1: Steep Test-time Scaling Law via Environment Augmented Generation
2026 · Association for Computational Linguistics 2026, Bi, Baolong, et al. · Underline Science Inc.
Gated Differentiable Working Memory for Long-Context Language Modeling
2026 · Association for Computational Linguistics 2026, Bi, Baolong, et al. · Underline Science Inc.
PRISM-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models
2026 · Ge, Yuyao, Liu, Shenghua, et al. · arXiv (Cornell University)
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PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding
2026 · Bi, Baolong, Ge, Yuyao, et al. · arXiv (Cornell University)
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Gated Differentiable Working Memory for Long-Context Language Modeling
2026 · Mei, Lingrui, Liu, Shenghua, et al. · arXiv (Cornell University)
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a1: Steep Test-time Scaling Law via Environment Augmented Generation
2026 · Lingrui Mei, Shenghua Liu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
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HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
2026 · Lingrui Mei, Shenghua Liu, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting
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Works count: 48
Citation count: 51
H-index: 4
I10-index: 1
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