Tianxiang Sun
- Papers
- 13
Cite
Notes
Only stored in your browser.
Authored papers
13AI Can Learn Scientific Taste
arXiv 2026
Can AI Assistants Know What They Don't Know?
arXiv 2024
Data Mixing Laws: Optimizing Data Mixtures by Predicting Language Modeling Performance
arXiv 2024
DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning
arXiv 2024
Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models
arXiv 2024
Evaluating Hallucinations in Chinese Large Language Models
arXiv 2023
Improving Contrastive Learning of Sentence Embeddings from AI Feedback
arXiv 2023
Flames: Benchmarking Value Alignment of LLMs in Chinese
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
Affiliations
Frequent co-authors
10from 13 papers