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Yequan Wang β most-cited papers & profile Β· Computer Vision
β authors
Β·
overview
Yequan Wang
15
papers Β·
24
citations
Google Scholar β
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Most-cited papers
Quantifying And Attributing The Hallucination Of Large Language Models Via Association Analysis
2023 Β· 23 citations
If an LLM Were a Character, Would It Know Its Own Story? Evaluating Lifelong Learning in LLMs
2025 Β· 1 citations
RoboCOIN: An Open-Sourced Bimanual Robotic Data Collection for Integrated Manipulation
2025
RealTalk-CN: A Realistic Chinese Speech-Text Dialogue Benchmark With Cross-Modal Interaction Analysis
2025
Toward Embodied AGI: A Review of Embodied AI and the Road Ahead
2025
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
2025
Exploiting Contextual Knowledge in LLMs through V-usable Information based Layer Enhancement
2025
Position-Aware Depth Decay Decoding ($D^3$): Boosting Large Language Model Inference Efficiency
2025
ChildMandarin: A Comprehensive Mandarin Speech Dataset for Young Children Aged 3-5
2024
nanoLM: an Affordable LLM Pre-training Benchmark via Accurate Loss Prediction across Scales
2023
FreeLM: Fine-Tuning-Free Language Model
2023
52B to 1T: Lessons Learned via Tele-FLM Series
2024
Open-domain Implicit Format Control for Large Language Model Generation
2024
FLM-101B: An Open LLM and How to Train It with $100K Budget
2023
Topics
cs.CL
Training Techniques
Evaluation
Efficiency
Fine-Tuning
Manipulation
Human-Robot Interaction
Speaker Analysis
Speech Recognition
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