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Wayne Xin Zhao — most-cited papers & profile · Large Language Models
← authors
·
overview
Wayne Xin Zhao
79
papers ·
2375
citations ·
56
h-index
Renmin University of China
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Don't Make Your LLM An Evaluation Benchmark Cheater
2023 · 231 citations
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models
2023 · 34 citations
Unlocking General Long Chain-of-thought Reasoning Capabilities Of Large Language Models Via Representation Engineering
2025 · 29 citations
Large Language Models are Zero-Shot Rankers for Recommender Systems
2023 · 23 citations
REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question Answering
2024 · 13 citations
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting
2023 · 8 citations
Adapting Large Language Models by Integrating Collaborative Semantics for Recommendation
2023 · 6 citations
Exploring Context Window of Large Language Models via Decomposed Positional Vectors
2024 · 6 citations
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models
2023 · 3 citations
Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References
2023 · 3 citations
Reasoning with Exploration: An Entropy Perspective
2025 · 1 citations
Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment
2023 · 1 citations
MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics
2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation
2025
Improving Large Language Models via Fine-grained Reinforcement Learning with Minimum Editing Constraint
2024
Top co-authors
Ji-Rong Wen
· 11
Jinhao Jiang
· 3
Tianyi Tang
· 3
Zican Dong
· 3
Haoyang Huang
· 2
Hongyu Lu
· 2
Junyi Li
· 2
Junyi Li
· 2
Kun Zhou
· 2
Ruiyang Ren
· 2
Weipeng Chen
· 2
Xiaolei Wang
· 2
Topics
Training Techniques
Evaluation
Fine-Tuning
Efficiency
Safety & Alignment
In-Context Learning
Reinforcement Learning
RAG
Model Architecture
Prompting