🧑‍🔬 Who cites Ashish Seth

106 citations of their works from 87 papers of our library (of the 149,439 whose bibliographies we read) · 35 with a page here, the most cited first · ← Ashish Seth

1. Qwen2.5-Omni Technical ReportarXiv:2503.20215Jin Xu, Zhifang Guo, Jinzheng He, et al.2025 · 227 citations
2. Phi-4-Mini Technical Report: Compact yet Powerful Multimodal Language Models via Mixture-of-LoRAsarXiv:2503.01743Microsoft, Abdelrahman Abouelenin, Atabak Ashfaq, et al.2025 · 152 citations
3. Qwen3-Omni Technical ReportarXiv:2509.17765Jin Xu, Zhifang Guo, Hangrui Hu, et al.2025 · 117 citations
4. Recent Advances in Speech Language Models: A SurveyAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Dianzhi Yu, Xiaoqi Jiao, et al.2025 · 69 citations
5. MMAU: A Massive Multi-Task Audio Understanding and Reasoning BenchmarkarXiv:2410.19168S Sakshi, Utkarsh Tyagi, Sonal Kumar, et al.2024 · 67 citations
6. Kimi-Audio Technical ReportarXiv:2504.18425KimiTeam, Ding Ding, Zeqian Ju, et al.2025 · 57 citations
7. Step-Audio 2 Technical ReportarXiv:2507.16632Boyong Wu, Chao Yan, Chen Hu, et al.2025 · 31 citations
8. Qwen3.5-Omni Technical ReportarXiv:2604.15804Qwen Team2026 · 29 citations
9. Audio-Reasoner: Improving Reasoning Capability in Large Audio Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Xie Zhifei, Mingbao Lin, Zihang Liu, et al.2025 · 25 citations
10. MiMo-Audio: Audio Language Models are Few-Shot LearnersarXiv:2512.23808Xiaomi LLM-Core Team, Dong Zhang, Gang Wang, et al.2025 · 24 citations
11. Towards Holistic Evaluation of Large Audio-Language Models: A Comprehensive SurveyConference on Empirical Methods in Natural Language Processing (EMNLP)Chih-Kai Yang, Neo S. Ho, Hung-yi Lee2025 · 17 citations
12. WildScore: Benchmarking MLLMs in-the-Wild Symbolic Music ReasoningConference on Empirical Methods in Natural Language Processing (EMNLP)Gagan Mundada, Yash Vishe, Amit Namburi, et al.2025 · 10 citations
13. VoxEval: Benchmarking the Knowledge Understanding Capabilities of End-to-End Spoken Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Wenqian Cui, Xiaoqi Jiao, Ziqiao Meng, et al.2025 · 9 citations
14. ERNIE 5.0 Technical ReportarXiv:2602.04705Haifeng Wang, Hua Wu, Tian Wu, et al.2026 · 7 citations
15. Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language ModelsarXiv:2509.21749Zhen Xiong, Yujun Cai, Zhecheng Li, et al.2025 · 6 citations
16. Audio Jailbreak: An Open Comprehensive Benchmark for Jailbreaking Large Audio-Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Zirui Song, Qian Jiang, Mingxuan Cui, et al.2026 · 3 citations
17. AudioJudge: Understanding What Works in Large Audio Model Based Speech EvaluationConference of the European Chapter of the Association for Computational Linguistics (EACL)Potsawee Manakul, Woody Haosheng Gan, Michael J Ryan, et al.2026 · 3 citations
18. Step-Audio-R1 Technical ReportarXiv:2511.15848Fei Tian, Xiangyu Tony Zhang, Yuxin Zhang, et al.2025 · 3 citations
19. Attacker's Noise Can Manipulate Your Audio-based LLM in the Real WorldConference of the European Chapter of the Association for Computational Linguistics (EACL)Vinu Sankar Sadasivan, Soheil Feizi, Rajiv Mathews, et al.2026 · 2 citations
20. Octopus: Towards Building the Arabic Speech LLM SuiteArabic Natural Language Processing Conference (ArabicNLP)Sara Althubaiti, Vasista Sai Lodagala, Tjad Clark, et al.2025 · 2 citations
21. HumMusQA: A Human-written Music Understanding QA Benchmark DatasetWorkshop on NLP for Music and AudioBenno Weck, Pablo Puentes, Andrea Poltronieri, et al.2026 · 1 citation
22. Listen, Pause, and Reason: Toward Perception-Grounded Hybrid Reasoning for Audio UnderstandingFindings of the Association for Computational LinguisticsJieyi Wang, Yazhe Niu, Dexuan Xu, et al.2026 · 1 citation
23. Revisiting Audio-language Pretraining for Learning General-purpose Audio RepresentationAnnual Meeting of the Association for Computational Linguistics (ACL)Wei-Cheng Tseng, Xuanru Zhou, Mingyue Huo, et al.2026 · 1 citation
24. Rubric-Guided Fine-tuning of SpeechLLMs for Multi-Aspect, Multi-Rater L2 Reading-Speech AssessmentLanguage Resources and Evaluation Conference (LREC)Aditya Kamlesh Parikh, Cristian Tejedor-García, Catia Cucchiarini, et al.2026 · 1 citation
25. UltraEval-Audio: A Unified Framework for Comprehensive Evaluation of Audio Foundation ModelsAnnual Meeting of the Association for Computational Linguistics (ACL)Qundong Shi, Jie Zhou, Biyuan Lin, et al.2026 · 1 citation
26. Afrispeech Semantics: Evaluating Audio–Semantic Reasoning in Spoken Language Models Across Domains and AccentsFindings of the Association for Computational LinguisticsChibuzor Okocha, Christan Grant2026
27. Beyond Transcription: Unified Audio Schema for Perception-Aware AudioLLMsFindings of the Association for Computational LinguisticsLinhao Zhang, Yuhan Song, Aiwei Liu, et al.2026
28. DIFFA-2: A Practical Diffusion Large Language Model for General Audio UnderstandingFindings of the Association for Computational LinguisticsJiaming Zhou, Xuxin Cheng, Shiwan Zhao, et al.2026
29. Now You Hear Me: Audio Narrative Attacks Against Large Audio–Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Ye Yu, Haibo Jin, Yaoning Yu, et al.2026
30. ORCA: Open-ended Response Correctness Assessment for Audio Question AnsweringTransactions of the Association for Computational Linguistics (TACL)Šimon Sedláček, Sara Barahona, Cecilia Bolaños, et al.2026
31. Protecting Bystander Privacy via Selective Hearing in Audio LLMsAnnual Meeting of the Association for Computational Linguistics (ACL)Xiao Zhan, Guangzhi Sun, Jose Such, et al.2026
32. Qwen3.8-Omni: Towards Native Omni-Modal AgentsarXiv:2609.25611Qwen Team2026
33. Speech-Hands: A Self-Reflection Voice Agentic Approach to Speech Recognition and Audio Reasoning with Omni PerceptionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhen Wan, Chao-Han Huck Yang, Jinchuan Tian, et al.2026
34. Think Smart, Not Hard: Difficulty Adaptive Reasoning for Large Audio Language ModelsFindings of the Association for Computational LinguisticsZhichao Sheng, Shilin Zhou, Chen Gong, et al.2026
35. WenetSpeech-Wu: Datasets, Benchmarks, and Models for a Unified Chinese Wu Dialect Speech Processing EcosystemFindings of the Association for Computational LinguisticsChengyou Wang, Mingchen Shao, Jingbin Hu, et al.2026

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