activity
20222026
most citedFengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

47 citations · 53 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

XRZero-G0: Pushing the Frontier of Dexterous Robotic Manipulation with Interfaces, Quality and Ratios

James Wang, Primo Pu, Zephyr Fung +19

The acquisition of high-quality, action-aligned demonstration data remains a fundamental bottleneck in scaling foundation models for dexterous robot manipulation. Although robot-fr…

cs.CL2024

SG-FSM: A Self-Guiding Zero-Shot Prompting Paradigm for Multi-Hop Question Answering Based on Finite State Machine

Xiaochen Wang, Junqing He, Liang Chen +5

Large Language Models with chain-of-thought prompting, such as OpenAI-o1, have shown impressive capabilities in natural language inference tasks. However, Multi-hop Question Answer…

cs.CL2024

FSM: A Finite State Machine Based Zero-Shot Prompting Paradigm for Multi-Hop Question Answering

Xiaochen Wang, Junqing He, Zhe yang +4

Large Language Models (LLMs) with chain-of-thought (COT) prompting have demonstrated impressive abilities on simple nature language inference tasks. However, they tend to perform p…

cs.CL2023★ 3 cited

Never Lost in the Middle: Mastering Long-Context Question Answering with Position-Agnostic Decompositional Training

Junqing He, Kunhao Pan, Xiaoqun Dong +7

While large language models (LLMs) are equipped with longer text input capabilities than before, they are struggling to seek correct information in long contexts. The "lost in the…

cs.CL2023★ 3 cited

Ziya2: Data-centric Learning is All LLMs Need

Ruyi Gan, Ziwei Wu, Renliang Sun +11

Various large language models (LLMs) have been proposed in recent years, including closed- and open-source ones, continually setting new records on multiple benchmarks. However, th…

cs.CL2022

TCBERT: A Technical Report for Chinese Topic Classification BERT

Ting Han, Kunhao Pan, Xinyu Chen +5

Bidirectional Encoder Representations from Transformers or BERT~\cite{devlin-etal-2019-bert} has been one of the base models for various NLP tasks due to its remarkable performance…

cs.CL2022★ 47 cited

Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

Jiaxing Zhang, Ruyi Gan, Junjie Wang +22

Nowadays, foundation models become one of fundamental infrastructures in artificial intelligence, paving ways to the general intelligence. However, the reality presents two urgent…