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Baolong Bi
Observed name:
Bi, Baolong
Institutions:
Chinese Academy of Sciences,
Universities and Colleges Admissions Service,
Institute of Computing Technology,
University of Chinese Academy of Sciences,
Meituan (China),
Tsinghua University
show all 6
Observed institutions:
Chinese Academy of Sciences,
Universities and Colleges Admissions Service,
Institute of Computing Technology,
University of Chinese Academy of Sciences,
Meituan (China),
Tsinghua University
show all 6
ORCID:
0009-0003-4027-1366
Observed ORCID:
0009-0003-4027-1366
OpenAlex ID:
A5094348722
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
PDF
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
PDF
A Survey of Vibe Coding with Large Language Models
2025
·
Ge, Yuyao
, Mei, Lingrui
, et al.
·
arXiv (Cornell University)
·
4
PDF
Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception
2025
·
Shiyu Ni
, Keping Bi
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
4
PDF
Neuron-Level Sequential Editing for Large Language Models
2025
·
Houcheng Jiang
, Junfeng Fang
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
3
PDF
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
PDF
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
PDF
Efficient Inference for Large Reasoning Models: A Survey
2026
·
Yue Liu
, Jiaying Wu
, et al.
·
IEEE Transactions on Pattern Analysis and Machine Intelligence
·
2
PDF
How to Make Large Language Models Generate 100% Valid Molecules?
2025
·
Wen Tao
, Jing Tang
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
·
2
PDF
Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
2025
·
Bi, Baolong
, Liu, Shenghua
, et al.
·
arXiv (Cornell University)
·
1
PDF
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
PDF
Decoding by Contrasting Knowledge: Enhancing LLMs' Confidence on Edited Facts
2024
·
Bi, Baolong
, Liu, Shenghua
, et al.
·
arXiv (Cornell University)
·
1
PDF
Doc2Harness: Benchmarking LLMs on Long-Horizon Harness Engineering of Coding Agents
2026
·
Ge, Yuyao
, Liu, Shenghua
, et al.
·
arXiv (Cornell University)
PDF
SkillForge: Co-Evolving Skills and Agents via Dynamic Skill Lifecycles
2026
·
Ge, Yuyao
, Wang, Yiwei
, et al.
·
arXiv (Cornell University)
PDF
Audio-Zero: Label-Free Self-Evolution for Fine-Grained Audio Reasoning
2026
·
Tong, Siqian
, Li, Xuan
, et al.
·
arXiv (Cornell University)
PDF
LP-SFT: Keeping Plausible Alternatives Alive in Supervised Fine-Tuning
2026
·
Wang, Yueyang
, Bi, Baolong
, et al.
·
arXiv (Cornell University)
PDF
SAW: Stage-Aware Dynamic Weighting for Multi-Objective Reinforcement Learning in Large Language Models
2026
·
He, Yuchen
, Bi, Baolong
, et al.
·
arXiv (Cornell University)
PDF
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.
When Should the Teacher Move? Temporal Coupling and Stability in Self On-Policy Distillation
2026
·
Guo, Haowei
, Bi, Baolong
, et al.
·
arXiv (Cornell University)
PDF
PRISM-$Δ$: Differential Subspace Steering for Prompt Highlighting in Large Language Models
2026
·
Ge, Yuyao
, Liu, Shenghua
, et al.
·
arXiv (Cornell University)
PDF
FactGuard: Agentic Video Misinformation Detection via Reinforcement Learning
2026
·
Li, Zehao
, Yu, Hongwei
, et al.
·
arXiv (Cornell University)
PDF
PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding
2026
·
Bi, Baolong
, Ge, Yuyao
, et al.
·
arXiv (Cornell University)
PDF
AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
2026
·
Tong, Siqian
, Li, Xuan
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
61
Citation count:
40
H-index:
4
I10-index:
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