---
title: "Who cites Shengpeng Ji — 55 papers of our library"
description: "55 papers of the Elamur Research library cite the works of Shengpeng Ji, found in their bibliographies; the most cited first."
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---
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# Who cites Shengpeng Ji

66 citations of their works from 55 papers of our library (of the 149,439 whose bibliographies we read) · 19 with a page here, the most cited first · [← Shengpeng Ji](https://md.research.elamur.ai/free/en/authors/shengpeng-ji/)

1. **[WavRAG: Audio-Integrated Retrieval Augmented Generation for Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2025-wavrag-audio-integrated-retrieval-augmented/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifu Chen, Shengpeng Ji, Haoxiao Wang, et al.*2025 · 22 citations*
2. **[LLaMA-Omni 2: LLM-based Real-time Spoken Chatbot with Autoregressive Streaming Speech Synthesis](https://md.research.elamur.ai/free/en/papers/fang-2025-llama-omni-2-llm-based/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qingkai Fang, Yan Zhou, Shoutao Guo, et al.*2025 · 20 citations*
3. [**Qwen3-TTS Technical Report arXiv:2601.15621**Hangrui Hu, Xinfa Zhu, Ting He, et al.*2026 · 14 citations*](https://md.research.elamur.ai/free/en/papers/hu-2026-qwen3-tts-technical-report/)
4. [**Advancing Singlish Understanding: Bridging the Gap with Datasets and Multimodal Models arXiv:2501.01034**Bin Wang, Xunlong Zou, Shuo Sun, et al.*2025 · 7 citations*](https://md.research.elamur.ai/free/en/papers/wang-2025-advancing-singlish-understanding-bridging-gap/)
5. **[Dual-Axis Generative Reward Model Toward Semantic and Turn-taking Robustness in Interactive Spoken Dialogue Models](https://md.research.elamur.ai/free/en/papers/chen-2026-dual-axis-generative-reward-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifu Chen, Shengpeng Ji, Zhengqing Liu, et al.*2026 · 4 citations*
6. **[XY-Tokenizer: Mitigating the Semantic-Acoustic Conflict in Low-Bitrate Speech Codecs](https://md.research.elamur.ai/free/en/papers/gong-2026-xy-tokenizer-mitigating-semantic-acoustic/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yitian Gong, Luozhijie Jin, Kuangwei Chen, et al.*2026 · 4 citations*
7. **[StressTest: Can YOUR Speech LM Handle the Stress?](https://md.research.elamur.ai/free/en/papers/yosha-2026-stresstest-can-your-speech-lm/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Iddo Yosha, Gallil Maimon, Yossi Adi*2026 · 3 citations*
8. **[Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models](https://md.research.elamur.ai/free/en/papers/xiang-2026-do-we-need-distinct-representations/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Bajian Xiang, Tingwei Guo, Xuan Chen, et al.*2026 · 2 citations*
9. **[ATIR: Towards Audio-Text Interleaved Contextual Retrieval](https://md.research.elamur.ai/free/en/papers/zhao-2026-atir-audio-text-interleaved-contextual/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tong Zhao, Chenghao Zhang, Yutao Zhu, et al.*2026*
10. **[BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs](https://md.research.elamur.ai/free/en/papers/wang-2026-batonvoice-operationalist-framework-enhancing-controllable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yue Wang, Ruotian Ma, Xingyu Chen, et al.*2026*
11. **[Comprehensive Benchmarking of Long-Form Speech Generation in Diverse Scenarios](https://md.research.elamur.ai/free/en/papers/pan-2026-comprehensive-benchmarking-long-form-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Changhao Pan, Rui Yang, Han Wang, et al.*2026*
12. **[EncouRAGe: Evaluating RAG Local, Reliable, and Efficient](https://md.research.elamur.ai/free/en/papers/strich-2026-encourage-evaluating-rag-local-reliable/) [Workshop on Multilingual Report Generation via Retrieval Augmented Generation](https://md.research.elamur.ai/free/en/venues/rag4reports/)**Jan Strich, Martin Semmann, Chris Biemann*2026*
13. **[Evaluating the Expressive Appropriateness of Speech in Rich Contexts](https://md.research.elamur.ai/free/en/papers/wang-2026-evaluating-expressive-appropriateness-speech-rich/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tianrui Wang, Ziyang Ma, Yizhou Peng, et al.*2026*
14. **[Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language Models](https://md.research.elamur.ai/free/en/papers/yu-2026-now-you-hear-me-audio/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Ye Yu, Haibo Jin, Yaoning Yu, et al.*2026*
15. **[PlanRAG-Audio: Planning and Retrieval Augmented Generation for Long-form Audio Understanding](https://md.research.elamur.ai/free/en/papers/someki-2026-planrag-audio-planning-retrieval-augmented/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Masao Someki, Chien-yu Huang, Siddhant Arora, et al.*2026*
16. **[SDiaReward: Modeling and Benchmarking Spoken Dialogue Rewards with Modality and Colloquialness](https://md.research.elamur.ai/free/en/papers/lu-2026-sdiareward-modeling-benchmarking-spoken-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jingyu Lu, Yuhan Wang, Fan Zhuo, et al.*2026*
17. **[Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni Perception](https://md.research.elamur.ai/free/en/papers/wan-2026-speech-hands-self-reflection-voice/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.*2026*
18. **[Towards Fine-Grained and Multi-Granular Contrastive Language-Speech Pre-training](https://md.research.elamur.ai/free/en/papers/yang-2026-fine-grained-multi-granular-contrastive/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yifan Yang, Bing Han, Hui Wang, et al.*2026*
19. **[UniVocal: Unified Speech-Singing Code-Switching Synthesis](https://md.research.elamur.ai/free/en/papers/shi-2026-univocal-unified-speech-singing-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**YuFei Shi, Qian Chen, Wen Wang, et al.*2026*

36 more citing papers of our library have no page here yet.

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