4 citations · 6 across the 5 of their papers we have counts for
5 papers
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
AERO: Autonomous Evolutionary Reasoning Optimization via Endogenous Dual-Loop Feedback
Zhitao Gao, Jie Ma, Xuhong Li +5
Large Language Models (LLMs) have achieved significant success in complex reasoning but remain bottlenecked by reliance on expert-annotated data and external verifiers. While exist…
From Macro to Micro: Probing Dataset Diversity in Language Model Fine-Tuning
Haoyu Li, Xuhong Li, Yiming Dong +1
Dataset diversity plays a pivotal role for the successful training of many machine learning models, particularly in the supervised fine-tuning (SFT) stage of large language model (…
Tokenization Falling Short: On Subword Robustness in Large Language Models
Yekun Chai, Yewei Fang, Qiwei Peng +1
Language models typically tokenize raw text into sequences of subword identifiers from a predefined vocabulary, a process inherently sensitive to typographical errors, length varia…
HumanEval-XL: A Multilingual Code Generation Benchmark for Cross-lingual Natural Language Generalization
Qiwei Peng, Yekun Chai, Xuhong Li
Large language models (LLMs) have made significant progress in generating codes from textual prompts. However, existing benchmarks have mainly concentrated on translating English p…