Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …

We introduce the Yi model family, a series of language and multimodal models that
demonstrate strong multi-dimensional capabilities. The Yi model family is based on 6B and …

The evaluation of large language models (LLMs) is crucial to assess their performance and
mitigate potential security risks. In this paper, we introduce PromptBench, a unified library to …

Knowledge Base Question Answering (KBQA) aims to answer natural language questions
over large-scale knowledge bases (KBs), which can be summarized into two crucial steps …

Trading is a highly competitive task that requires a combination of strategy, knowledge, and
psychological fortitude. With the recent success of large language models (LLMs), it is …

Integrating large language models (LLMs) into healthcare holds great potential but faces
challenges. Pre-training LLMs from scratch for domains like medicine is resource-heavy and …

In the era of large language models (LLMs), hallucination (ie, the tendency to generate
factually incorrect content) poses great challenge to trustworthy and reliable deployment of …

In recent years, large language models (LLMs) have spurred a new research paradigm in
natural language processing. Despite their excellent capability in knowledge-based …

Abstract Figuring out which Pre-Trained Model (PTM) from a model zoo fits the target task is
essential to take advantage of plentiful model resources. With the availability of numerous …

With the rapid advancement of large language models (LLMs), aligning policy models with
human preferences has become increasingly critical. Direct Preference Optimization (DPO) …