activity
20232026
most citedBayLing: Bridging Cross-lingual Alignment and Instruction Following through Interactive Translation for Large Language Models

13 citations · 14 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2026

Probabilistic Reachable-Action Verification of Visuomotor Policies via Set-Based Training

Yanliang Huang, Zhuocheng Zhang, Peng Xie +5

Reachability analysis for visuomotor policies is difficult because large visual encoders make end-to-end set propagation computationally expensive and excessively conservative. We…

cs.RO2026

SURE: Safe Uncertainty-Aware Robot-Environment Interaction using Trajectory Optimization

Zhuocheng Zhang, Haizhou Zhao, Xudong Sun +2

Robotic tasks involving contact interactions pose significant challenges for trajectory optimization due to discontinuous dynamics. Conventional formulations typically assume deter…

cs.CL2025

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation

Zhuocheng Zhang, Yang Feng, Min Zhang

Retrieval-Augmented Generation (RAG) plays a pivotal role in modern large language model applications, with numerous existing frameworks offering a wide range of functionalities to…

cs.CL2025★ 1 cited

LevelRAG: Enhancing Retrieval-Augmented Generation with Multi-hop Logic Planning over Rewriting Augmented Searchers

Zhuocheng Zhang, Yang Feng, Min Zhang

Retrieval-Augmented Generation (RAG) is a crucial method for mitigating hallucinations in Large Language Models (LLMs) and integrating external knowledge into their responses. Exis…

cs.CL2023

Addressing the Length Bias Problem in Document-Level Neural Machine Translation

Zhuocheng Zhang, Shuhao Gu, Min Zhang +1

Document-level neural machine translation (DNMT) has shown promising results by incorporating more context information. However, this approach also introduces a length bias problem…

cs.CL2023

Enhancing Neural Machine Translation with Semantic Units

Langlin Huang, Shuhao Gu, Zhuocheng Zhang +1

Conventional neural machine translation (NMT) models typically use subwords and words as the basic units for model input and comprehension. However, complete words and phrases comp…