9 citations · 44 across the 46 of their papers we have counts for
17 papers · 2 filters
Training Language Models to Critique With Multi-agent Feedback
Tian Lan, Wenwei Zhang, Chengqi Lyu +6
Critique ability, a meta-cognitive capability of humans, presents significant challenges for LLMs to improve. Recent works primarily rely on supervised fine-tuning (SFT) using crit…
ProSA: Assessing and Understanding the Prompt Sensitivity of LLMs
Jingming Zhuo, Songyang Zhang, Xinyu Fang +3
Large language models (LLMs) have demonstrated impressive capabilities across various tasks, but their performance is highly sensitive to the prompts utilized. This variability pos…
Scaling Behavior for Large Language Models regarding Numeral Systems: An Example using Pythia
Zhejian Zhou, Jiayu Wang, Dahua Lin +1
Though Large Language Models (LLMs) have shown remarkable abilities in mathematics reasoning, they are still struggling with performing numeric operations accurately, such as addit…
CIBench: Evaluating Your LLMs with a Code Interpreter Plugin
Chuyu Zhang, Songyang Zhang, Yingfan Hu +8
While LLM-Based agents, which use external tools to solve complex problems, have made significant progress, benchmarking their ability is challenging, thereby hindering a clear und…
ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models
Yuzhe Gu, Ziwei Ji, Wenwei Zhang +3
Large language models (LLMs) exhibit hallucinations in long-form question-answering tasks across various domains and wide applications. Current hallucination detection and mitigati…
InternLM-Law: An Open Source Chinese Legal Large Language Model
Zhiwei Fei, Songyang Zhang, Xiaoyu Shen +9
While large language models (LLMs) have showcased impressive capabilities, they struggle with addressing legal queries due to the intricate complexities and specialized expertise r…