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Ye Liu — most-cited papers & profile · Large Language Models
← authors
·
overview
Ye Liu
24
papers ·
175
citations ·
0
h-index
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Most-cited papers
Investigating Answerability Of Llms For Long-form Question Answering
2023 · 15 citations
DIVKNOWQA: Assessing The Reasoning Ability Of Llms Via Open-domain Question Answering Over Knowledge Base And Text
2023 · 9 citations
JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking
2024 · 3 citations
Modeling Uncertainty and Using Post-fusion as Fallback Improves Retrieval Augmented Generation with LLMs
2023 · 1 citations
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding
2024 · 1 citations
Exploring Autonomous Agentic Data Engineering for Model Specialization
2026
Orchestrating Heterogeneous Experts: A Scalable MoE Framework with Anisotropy-Preserving Fusion
2026
SweRank: Software Issue Localization with Code Ranking
2025
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models
2025
CoF-CoT: Enhancing Large Language Models with Coarse-to-Fine Chain-of-Thought Prompting for Multi-domain NLU Tasks
2023
XGen-7B Technical Report
2023
Top co-authors
Caiming Xiong
· 3
Semih Yavuz
· 3
Shafiq Joty
· 3
Tong Niu
· 3
Yingbo Zhou
· 3
Rui Meng
· 2
Alex Fabbri
· 1
Ben Krause
· 1
Bo Pang
· 1
Caiming Xiong
· 1
Chang Wen Chen
· 1
Chenwei Zhang
· 1
Topics
Evaluation
Fine-Tuning
RAG
Training Techniques
Efficiency
Agentic
Prompting
Model Architecture
Code
In-Context Learning