Tianxiang Sun
- Papers
- 13
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Authored papers
13AI Can Learn Scientific Taste
arXiv 2026
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
arXiv 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
arXiv 2024
Can AI Assistants Know What They Don't Know?
arXiv 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
arXiv 2024
Evaluating Hallucinations in Chinese Large Language Models
arXiv 2023
Flames: Benchmarking Value Alignment of LLMs in Chinese
arXiv 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
arXiv 2023
CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors
arXiv 2023
DiffusionBERT: Improving Generative Masked Language Models with Diffusion Models
arXiv 2022
BBTv2: Towards a Gradient-Free Future with Large Language Models
arXiv 2022
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline
NAACL 2022 7
Pre-trained Models for Natural Language Processing: A Survey
arXiv 2020
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