5 citations · 14 across the 9 of their papers we have counts for
9 papers
Model Fusion with Multi-LoRA Inference for Tool-Enhanced Game Dialogue Agents
Kangxu Wang, Ze Chen, Chengcheng Wei +3
This paper presents the opdainlp team's solution for the GPU track of the CPDC 2025 challenge. The challenge consists of three tasks, aiming to build an in-game conversational AI t…
XiHeFusion: Harnessing Large Language Models for Science Communication in Nuclear Fusion
Xiao Wang, Qingquan Yang, Fuling Wang +12
Nuclear fusion is one of the most promising ways for humans to obtain infinite energy. Currently, with the rapid development of artificial intelligence, the mission of nuclear fusi…
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
Peng Xia, Ze Chen, Juanxi Tian +21
Artificial intelligence has significantly impacted medical applications, particularly with the advent of Medical Large Vision Language Models (Med-LVLMs), sparking optimism for the…
OPDAI at SemEval-2024 Task 6: Small LLMs can Accelerate Hallucination Detection with Weakly Supervised Data
Chengcheng Wei, Ze Chen, Songtan Fang +2
This paper mainly describes a unified system for hallucination detection of LLMs, which wins the second prize in the model-agnostic track of the SemEval-2024 Task 6, and also achie…
Sentence-Level Relation Extraction via Contrastive Learning with Descriptive Relation Prompts
Jiewen Zheng, Ze Chen
Sentence-level relation extraction aims to identify the relation between two entities for a given sentence. The existing works mostly focus on obtaining a better entity representat…
Enhancing Model Performance in Multilingual Information Retrieval with Comprehensive Data Engineering Techniques
Qi Zhang, Zijian Yang, Yilun Huang +6
In this paper, we present our solution to the Multilingual Information Retrieval Across a Continuum of Languages (MIRACL) challenge of WSDM CUP 2023\footnote{https://project-miracl…
OPD@NL4Opt: An ensemble approach for the NER task of the optimization problem
Kangxu Wang, Ze Chen, Jiewen Zheng
In this paper, we present an ensemble approach for the NL4Opt competition subtask 1(NER task). For this task, we first fine tune the pretrained language models based on the competi…
ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech
Zehua Chen, Yihan Wu, Yichong Leng +9
Denoising Diffusion Probabilistic Models (DDPMs) are emerging in text-to-speech (TTS) synthesis because of their strong capability of generating high-fidelity samples. However, the…
Using Deep Mixture-of-Experts to Detect Word Meaning Shift for TempoWiC
Ze Chen, Kangxu Wang, Zijian Cai +4
This paper mainly describes the dma submission to the TempoWiC task, which achieves a macro-F1 score of 77.05% and attains the first place in this task. We first explore the impact…