---
title: "Who cites Qian Chen — 216 papers of our library"
description: "216 papers of the Elamur Research library cite the works of Qian Chen, found in their bibliographies; the most cited first."
canonical: "https://research.elamur.ai/free/en/authors/qian-chen/cited-by/"
---
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# Who cites Qian Chen

269 citations of their works from 216 papers of our library (of the 149,439 whose bibliographies we read) · 64 with a page here, the most cited first · [← Qian Chen](https://md.research.elamur.ai/free/en/authors/qian-chen/)

1. [**Breaking NLI Systems with Sentences that Require Simple Lexical Inferences**Max Glockner, Vered Shwartz, Yoav Goldberg*2018 · 525 citations*](https://md.research.elamur.ai/free/en/papers/glockner-2018-breaking-nli-systems-sentences-that/)
2. **[Commonsense for Generative Multi-Hop Question Answering Tasks](https://md.research.elamur.ai/free/en/papers/bauer-2018-commonsense-generative-multi-hop-question/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Lisa Bauer, Yicheng Wang, Mohit Bansal*2018 · 229 citations*
3. [**Qwen2.5-Omni Technical Report arXiv:2503.20215**Jin Xu, Zhifang Guo, Jinzheng He, et al.*2025 · 227 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen2-5-omni-technical/)
4. **[F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching](https://md.research.elamur.ai/free/en/papers/chen-2025-f5-tts-fairytaler-that-fakes/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yushen Chen, Zhikang Niu, Ziyang Ma, et al.*2025 · 152 citations*
5. [**Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches arXiv:1904.01172**Shane Storks, Qiaozi Gao, Joyce Y. Chai*2019 · 135 citations*](https://md.research.elamur.ai/free/en/papers/storks-2019-recent-advances-natural-language-inference/)
6. [**Qwen3-Omni Technical Report arXiv:2509.17765**Jin Xu, Zhifang Guo, Hangrui Hu, et al.*2025 · 117 citations*](https://md.research.elamur.ai/free/en/papers/xu-2025-qwen3-omni-technical-report/)
7. [**CosyVoice 2: Scalable Streaming Speech Synthesis with Large Language Models arXiv:2412.10117**Zhihao Du, Yuxuan Wang, Qian Chen, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/du-2024-cosyvoice-2-scalable-streaming-speech/)
8. [**LLaMA-Omni: Seamless Speech Interaction with Large Language Models arXiv:2409.06666**Qingkai Fang, Shoutao Guo, Yan Zhou, et al.*2024 · 91 citations*](https://md.research.elamur.ai/free/en/papers/fang-2024-llama-omni-seamless-speech-interaction/)
9. **[VoiceBench: Benchmarking LLM-Based Voice Assistants](https://md.research.elamur.ai/free/en/papers/chen-2026-voicebench-benchmarking-llm-based-voice/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Yiming Chen, Xianghu Yue, Chen Zhang, et al.*2026 · 74 citations*
10. **[Recent Advances in Speech Language Models: A Survey](https://md.research.elamur.ai/free/en/papers/cui-2025-recent-advances-speech-language-models/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.*2025 · 69 citations*
11. [**GLM-4-Voice: Towards Intelligent and Human-Like End-to-End Spoken Chatbot arXiv:2412.02612**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 65 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-glm-4-voice-intelligent/)
12. [**Kimi-Audio Technical Report arXiv:2504.18425**KimiTeam, Ding Ding, Zeqian Ju, et al.*2025 · 57 citations*](https://md.research.elamur.ai/free/en/papers/kimiteam-2025-kimi-audio-technical-report/)
13. **[A Regularization Approach for Incorporating Event Knowledge and Coreference Relations into Neural Discourse Parsing](https://md.research.elamur.ai/free/en/papers/dai-2019-regularization-approach-incorporating-event-knowledge/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Zeyu Dai, Ruihong Huang*2019 · 46 citations*
14. [**Step-Audio 2 Technical Report arXiv:2507.16632**Boyong Wu, Chao Yan, Chen Hu, et al.*2025 · 31 citations*](https://md.research.elamur.ai/free/en/papers/wu-2025-step-audio-2-technical/)
15. [**Qwen3.5-Omni Technical Report arXiv:2604.15804**Qwen Team*2026 · 29 citations*](https://md.research.elamur.ai/free/en/papers/qwen-team-2026-qwen3-5-omni-technical/)
16. [**Baichuan-Omni-1.5 Technical Report arXiv:2501.15368**Yadong Li, Jun Liu, Tao Zhang, et al.*2025 · 28 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-omni-1-5/)
17. [**Pushing the Limits of ChatGPT on NLP Tasks arXiv:2306.09719**Xiaofei Sun, Linfeng Dong, Xiaoya Li, et al.*2023 · 28 citations*](https://md.research.elamur.ai/free/en/papers/sun-2023-pushing-limits-chatgpt-nlp-tasks/)
18. **[HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference](https://md.research.elamur.ai/free/en/papers/liu-2020-hyponli-exploring-artificial-patterns-hypothesis/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Tianyu Liu, Xin Zheng, Baobao Chang, et al.*2020 · 28 citations*
19. **[OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation](https://md.research.elamur.ai/free/en/papers/zhang-2025-omniflatten-end-end-gpt-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qinglin Zhang, Luyao Cheng, Chong Deng, et al.*2025 · 27 citations*
20. **[Audio-Reasoner: Improving Reasoning Capability in Large Audio Language Models](https://md.research.elamur.ai/free/en/papers/zhifei-2025-audio-reasoner-improving-reasoning-capability/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xie Zhifei, Mingbao Lin, Zihang Liu, et al.*2025 · 25 citations*
21. **[Autoregressive Speech Synthesis without Vector Quantization](https://md.research.elamur.ai/free/en/papers/meng-2025-autoregressive-speech-synthesis-without-vector/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Lingwei Meng, Long Zhou, Shujie Liu, et al.*2025 · 25 citations*
22. [**Step-Audio: Unified Understanding and Generation in Intelligent Speech Interaction arXiv:2502.11946**Ailin Huang, Boyong Wu, Bruce Wang, et al.*2025 · 25 citations*](https://md.research.elamur.ai/free/en/papers/huang-2025-step-audio-unified-understanding/)
23. **[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*
24. **[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*
25. [**Baichuan-Audio: A Unified Framework for End-to-End Speech Interaction arXiv:2502.17239**Tianpeng Li, Jun Liu, Tao Zhang, et al.*2025 · 16 citations*](https://md.research.elamur.ai/free/en/papers/li-2025-baichuan-audio-unified-framework/)
26. [**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/)
27. [**Scaling Speech-Text Pre-training with Synthetic Interleaved Data arXiv:2411.17607**Aohan Zeng, Zhengxiao Du, Mingdao Liu, et al.*2024 · 14 citations*](https://md.research.elamur.ai/free/en/papers/zeng-2024-scaling-speech-text-pre-training/)
28. **[QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions](https://md.research.elamur.ai/free/en/papers/wang-2025-qualispeech-speech-quality-assessment-dataset/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Siyin Wang, Wenyi Yu, Xianzhao Chen, et al.*2025 · 12 citations*
29. **[Does External Knowledge Help Explainable Natural Language Inference? Automatic Evaluation vs. Human Ratings](https://md.research.elamur.ai/free/en/papers/schuff-2021-does-external-knowledge-help-explainable/) [BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP](https://md.research.elamur.ai/free/en/venues/blackboxnlp/)**Hendrik Schuff, Hsiu-Yu Yang, Heike Adel, et al.*2021 · 11 citations*
30. [**MiniCPM-o 4.5: Towards Real-Time Full-Duplex Omni-Modal Interaction arXiv:2604.27393**Junbo Cui, Bokai Xu, Chongyi Wang, et al.*2026 · 5 citations*](https://md.research.elamur.ai/free/en/papers/cui-2026-minicpm-o-4-5/)
31. **[Paper2Rebuttal: A Multi-Agent Framework for Transparent Author Response Assistance](https://md.research.elamur.ai/free/en/papers/ma-2026-paper2rebuttal-multi-agent-framework-transparent/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Qianli Ma, Chang Guo, Zhiheng Tian, et al.*2026 · 5 citations*
32. **[Exploring Continual Learning of Compositional Generalization in NLI](https://md.research.elamur.ai/free/en/papers/fu-2024-exploring-continual-learning-compositional-generalization/) [Transactions of the Association for Computational Linguistics (TACL)](https://md.research.elamur.ai/free/en/venues/tacl/)**Xiyan Fu, Anette Frank*2024 · 5 citations*
33. **[VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation](https://md.research.elamur.ai/free/en/papers/peng-2026-voicestar-robust-zero-shot-autoregressive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Puyuan Peng, Zhisheng Zheng, Shang-Wen Li, et al.*2026 · 4 citations*
34. **[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*
35. [**NonverbalTTS: A Public English Corpus of Text-Aligned Nonverbal Vocalizations with Emotion Annotations for Text-to-Speech arXiv:2507.13155**Maksim Borisov, Egor Spirin, Daria Diatlova*2025 · 4 citations*](https://md.research.elamur.ai/free/en/papers/borisov-2025-nonverbaltts-public-english-corpus-text/)
36. **[SpeechLLM-as-Judges: Towards General and Interpretable Speech Quality Evaluation](https://md.research.elamur.ai/free/en/papers/wang-2026-speechllm-as-judges-general-interpretable/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hui Wang, Jinghua Zhao, Yifan Yang, et al.*2026 · 3 citations*
37. **[ZipVoice-Dialog: Non-Autoregressive Spoken Dialogue Generation with Flow Matching](https://md.research.elamur.ai/free/en/papers/zhu-2026-zipvoice-dialog-non-autoregressive-spoken/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Han Zhu, Wei Kang, Liyong Guo, et al.*2026 · 3 citations*
38. **[Closing the Modality Reasoning Gap for Speech Large Language Models](https://md.research.elamur.ai/free/en/papers/wang-2026-closing-modality-reasoning-gap-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chaoren Wang, Heng Lu, Xueyao Zhang, et al.*2026 · 2 citations*
39. **[Efficient Training for Cross-lingual Speech Language Models](https://md.research.elamur.ai/free/en/papers/zhou-2026-efficient-training-cross-lingual-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yan Zhou, Qingkai Fang, Yun Hong, et al.*2026 · 2 citations*
40. [**Habibi: Laying the Open-Source Foundation of Unified-Dialectal Arabic Speech Synthesis arXiv:2601.13802**Yushen Chen, Junzhe Liu, Yujie Tu, et al.*2026 · 2 citations*](https://md.research.elamur.ai/free/en/papers/chen-2026-habibi-laying-open-source-foundation/)
41. **[From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models](https://md.research.elamur.ai/free/en/papers/tong-2026-static-inference-dynamic-interaction-survey/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Junlong Tong, Zilong Wang, YuJie Ren, et al.*2026 · 1 citation*
42. **[UniSonate: A Unified Model for Speech, Music, and Sound Effect Generation with Text Instructions](https://md.research.elamur.ai/free/en/papers/qiang-2026-unisonate-unified-model-speech-music/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Chunyu Qiang, Xiaopeng Wang, Kang Yin, et al.*2026 · 1 citation*
43. **[A Data-Efficient Path to Multilingual LLMs: Language Expansion via Post-training PARAMΔ Integration into Upcycled MoE](https://md.research.elamur.ai/free/en/papers/zhou-2026-data-efficient-path-multilingual-llms/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Hao Zhou, Tianhao Li, Zhijun Wang, et al.*2026*
44. **[AEQ-Bench: Measuring Empathy of Omni-Modal Large Models](https://md.research.elamur.ai/free/en/papers/luo-2026-aeq-bench-measuring-empathy-omni/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Xuan Luo, Lewei Yao, Lanqing Hong, et al.*2026*
45. **[AffectCodec: Emotion-Preserving Neural Speech Codec for Expressive Speech Modeling](https://md.research.elamur.ai/free/en/papers/shi-2026-affectcodec-emotion-preserving-neural-speech/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiacheng Shi, Hongfei Du, Xinyuan Song, et al.*2026*
46. **[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*
47. **[Beyond Sentence-level Labels: Integrating Conversational Context and Personal Experience for Natural Emotional Expression](https://md.research.elamur.ai/free/en/papers/sun-2026-beyond-sentence-level-labels-integrating/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Haiyang Sun, Chenyang Le, Wei Wang, et al.*2026*
48. [**CodecMOS-Accent: A MOS Benchmark of Resynthesized and TTS Speech from Neural Codecs Across English Accents arXiv:2603.14328**Wen-Chin Huang, Nicholas Sanders, Erica Cooper*2026*](https://md.research.elamur.ai/free/en/papers/huang-2026-codecmos-accent-mos-benchmark-resynthesized/)
49. **[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*
50. **[DIFFA-2: A Practical Diffusion Large Language Model for General Audio Understanding](https://md.research.elamur.ai/free/en/papers/zhou-2026-diffa-2-practical-diffusion-large/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.*2026*
51. **[F-Actor: Controllable Conversational Behavior in Full-Duplex Models](https://md.research.elamur.ai/free/en/papers/zufle-2026-f-actor-controllable-conversational-behavior/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Maike Züfle, Ondrej Klejch, Nicholas Sanders, et al.*2026*
52. **[HearSay Benchmark: Do Audio LLMs Leak What They Hear?](https://md.research.elamur.ai/free/en/papers/wang-2026-hearsay-benchmark-do-audio-llms/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jin Wang, Kaiwen Luo, Liang Lin, et al.*2026*
53. **[ImmersiveTTS: Environment-Aware Text-to-Speech with Multimodal Diffusion Transformer and Domain-Specific Representation Alignment](https://md.research.elamur.ai/free/en/papers/yun-2026-immersivetts-environment-aware-text-speech/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Jun-Hak Yun, Seung-Bin Kim, Seong-Whan Lee*2026*
54. **[Probing Discrete Speech Tokens of Spoken Language Models](https://md.research.elamur.ai/free/en/papers/naber-2026-probing-discrete-speech-tokens-spoken/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Sven Naber, Julia Koch, Pranav Singh, et al.*2026*
55. **[ReasonAny: Incorporating Reasoning Capability to Any Model via Simple and Effective Model Merging](https://md.research.elamur.ai/free/en/papers/yang-2026-reasonany-incorporating-reasoning-capability-any/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Junyao Yang, Chen Qian, Wen Shen, et al.*2026*
56. **[RTCFake: Speech Deepfake Detection in Real-Time Communication](https://md.research.elamur.ai/free/en/papers/xue-2026-rtcfake-speech-deepfake-detection-real/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Jun Xue, Zhuolin Yi, Yihuan Huang, et al.*2026*
57. **[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*
58. **[Self-EmoQ: Plutchik-Guided Value-based Planning to Drive Streaming Emotional TTS](https://md.research.elamur.ai/free/en/papers/zhao-2026-self-emoq-plutchik-guided-value/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Yue Zhao, Hongyan Li, Yong Chen, et al.*2026*
59. **[TeachMaster: Generative Teaching via Code](https://md.research.elamur.ai/free/en/papers/wang-2026-teachmaster-generative-teaching-code/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuheng Wang, Runde Yang, Lin Wu, et al.*2026*
60. **[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*
61. **[UniSRM: A Unified Speech Reward Model for Reasoning-Based Fine-grained Assessment](https://md.research.elamur.ai/free/en/papers/wang-2026-unisrm-unified-speech-reward-model/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Yuanyuan Wang, Dongchao Yang, Yayue Deng, et al.*2026*
62. **[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*
63. **[WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing Ecosystem](https://md.research.elamur.ai/free/en/papers/wang-2026-wenetspeech-wu-datasets-benchmarks-models/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Chengyou Wang, Mingchen Shao, Jingbin Hu, et al.*2026*
64. [**Phir Hera Fairy: An English Fairytaler is a Strong Faker of Fluent Speech in Low-Resource Indian Languages arXiv:2505.20693**Praveen Srinivasa Varadhan, Srija Anand, Soma Siddhartha, et al.*2025*](https://md.research.elamur.ai/free/en/papers/varadhan-2025-phir-hera-fairy-english-fairytaler/)

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