Fetching the paper…
Reading the bibliography…
While large language models have demonstrated impressive reasoning abilities, their extension to the audio modality, particularly within large audio-language models (LALMs), remains underexplored.
The ami meeting corpus: A pre-announcement
Jean Carletta, Simone Ashby, Sebastien Bourban, Mike Flynn, Mael Guillemot, Thomas Hain, Jaroslav Kadlec, Vasilis Karaiskos, Wessel Kraaij, Melissa Kronenthal, et al. 2005 · 2005
Earlier work this paper cites.
Nepali speech recognition using rnn-ctc model
Paribesh Regmi, Arjun Dahal, and Basanta Joshi. 2019 · 2019
Earlier work this paper cites.
Step tutor: Supporting students through step-by-step example-based feedback
Wengran Wang, Yudong Rao, Rui Zhi, Samiha Marwan, Ge Gao, and Thomas W Price. 2020 · 2020
Earlier work this paper cites.
Leveraging unsupervised and weakly-supervised data to improve direct speech-to-speech translation
Ye Jia, Yifan Ding, Ankur Bapna, Colin Cherry, Yu Zhang, Alexis Conneau, and Nobuyuki Morioka. 2022 · 2022
Earlier work this paper cites.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Earlier work this paper cites.
Text-to-speech data augmentation for low resource speech recognition
Rodolfo Zevallos. 2022 · 2022
Earlier work this paper cites.
External text based data augmentation for low-resource speech recognition in the constrained condition of openasr21 challenge
Guolong Zhong, Hongyu Song, Ruoyu Wang, Lei Sun, Diyuan Liu, Jia Pan, Xin Fang, Jun Du, J. Zhang, and Lirong Dai. 2022 · 2022
Earlier work this paper cites.
Martijn Bartelds, Nay San, Bradley McDonnell, Dan Jurafsky, and Martijn Wieling. 2023 · 2023
Earlier work this paper cites.
Let’s verify step by step
Hunter Lightman, Vineet Kosaraju, Yuri Burda, Harrison Edwards, Bowen Baker, Teddy Lee, Jan Leike, John Schulman, Ilya Sutskever, and Karl Cobbe. 2023 · 2023
Earlier work this paper cites.
Logiqa 2.0—an improved dataset for logical reasoning in natural language understanding
Hanmeng Liu, Jian Liu, Leyang Cui, Zhiyang Teng, Nan Duan, Ming Zhou, and Yue Zhang. 2023 · 2023
Earlier work this paper cites.
Challenging big-bench tasks and whether chain-of-thought can solve them
Mirac Suzgun, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, Quoc Le, Ed Chi, Denny Zhou, et al. 2023 · 2023
Earlier work this paper cites.
Tree of thoughts: Deliberate problem solving with large language models
Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Tom Griffiths, Yuan Cao, and Karthik Narasimhan. 2023 · 2023
Earlier work this paper cites.
Saic: Integration of speech anonymization and identity classification
Ming Cheng, Xingjian Diao, Shitong Cheng, and Wenjun Liu. 2024 · 2024
Earlier work this paper cites.
Yunfei Chu, Jin Xu, Qian Yang, Haojie Wei, Xipin Wei, Zhifang Guo, Yichong Leng, Yuanjun Lv, Jinzheng He, Junyang Lin, et al. 2024 · 2024
Earlier work this paper cites.
Mammoth-vl: Eliciting multimodal reasoning with instruction tuning at scale
Jarvis Guo, Tuney Zheng, Yuelin Bai, Bo Li, Yubo Wang, King Zhu, Yizhi Li, Graham Neubig, Wenhu Chen, and Xiang Yue. 2024 · 2024
Cited alongside, same era.
Infimm-webmath-40b: Advancing multimodal pre-training for enhanced mathematical reasoning
Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, et al. 2024 · 2024
Cited alongside, same era.
Aaron Jaech, Adam Kalai, Adam Lerer, Adam Richardson, Ahmed El-Kishky, Aiden Low, Alec Helyar, Aleksander Madry, Alex Beutel, Alex Carney, et al. 2024 · 2024
Cited alongside, same era.
Zero-shot chain-of-thought reasoning guided by evolutionary algorithms in large language models
Feihu Jin, Yifan Liu, and Ying Tan. 2024 · 2024
Cited alongside, same era.
Marco-o1: Towards open reasoning models for open-ended solutions
Yu Zhao, Huifeng Yin, Bo Zeng, Hao Wang, Tianqi Shi, Chenyang Lyu, Longyue Wang, Weihua Luo, and Kaifu Zhang. 2024 · 2024
Later among the works it cites.
Learning musical representations for music performance question answering
Xingjian Diao, Chunhui Zhang, Tingxuan Wu, Ming Cheng, Zhongyu Ouyang, Weiyi Wu, and Jiang Gui. 2025 · 2025
Closest in time.
Sreyan Ghosh, Zhifeng Kong, Sonal Kumar, S Sakshi, Jaehyeon Kim, Wei Ping, Rafael Valle, Dinesh Manocha, and Bryan Catanzaro. 2025 · 2025
Closest in time.
Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning
Daya Guo, Dejian Yang, Haowei Zhang, Junxiao Song, Ruoyu Zhang, Runxin Xu, Qihao Zhu, Shirong Ma, Peiyi Wang, Xiao Bi, et al. 2025 · 2025
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Audio flamingo: A novel audio language model with few-shot learning and dialogue abilities
Zhifeng Kong, Arushi Goel, Rohan Badlani, Wei Ping, Rafael Valle, and Bryan Catanzaro. 2024 · 2024
Cited alongside, same era.
Distinct but correct: generating diversified and entity-revised medical response
Bin Li, Bin Sun, Shutao Li, Encheng Chen, Hongru Liu, Yixuan Weng, Yongping Bai, and Meiling Hu. 2024 · 2024
Cited alongside, same era.
Whisperspeech
OpenAI. 2024 · 2024
Cited alongside, same era.
Visual cot: Advancing multi-modal language models with a comprehensive dataset and benchmark for chain-of-thought reasoning
Hao Shao, Shengju Qian, Han Xiao, Guanglu Song, Zhuofan Zong, Letian Wang, Yu Liu, and Hongsheng Li. 2024 · 2024
Cited alongside, same era.
Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
Gemini Team, Petko Georgiev, Ving Ian Lei, Ryan Burnell, Libin Bai, Anmol Gulati, Garrett Tanzer, Damien Vincent, Zhufeng Pan, Shibo Wang, et al. 2024 · 2024
Cited alongside, same era.
Alphazero-like tree-search can guide large language model decoding and training
Ziyu Wan, Xidong Feng, Muning Wen, Stephen Marcus McAleer, Ying Wen, Weinan Zhang, and Jun Wang. 2024 · 2024
Cited alongside, same era.
Llava-o1: Let vision language models reason step-by-step
Guowei Xu, Peng Jin, Li Hao, Yibing Song, Lichao Sun, and Li Yuan. 2024 · 2024
Cited alongside, same era.
Minicpm-v: A gpt-4v level mllm on your phone
Yuan Yao, Tianyu Yu, Ao Zhang, Chongyi Wang, Junbo Cui, Hongji Zhu, Tianchi Cai, Haoyu Li, Weilin Zhao, Zhihui He, et al. 2024 · 2024
Cited alongside, same era.
Jian Hu, Jason Klein Liu, Haotian Xu, and Wei Shen. 2025 · 2025
Closest in time.
Megatts 3: Sparse alignment enhanced latent diffusion transformer for zero-shot speech synthesis
Ziyue Jiang, Yi Ren, Ruiqi Li, Shengpeng Ji, Boyang Zhang, Zhenhui Ye, Chen Zhang, Bai Jionghao, Xiaoda Yang, Jialong Zuo, et al. 2025 · 2025
Closest in time.
Kimi k1. 5: Scaling reinforcement learning with llms
Kimi Team, Angang Du, Bofei Gao, Bowei Xing, Changjiu Jiang, Cheng Chen, Cheng Li, Chenjun Xiao, Chenzhuang Du, Chonghua Liao, et al. 2025 · 2025
Closest in time.
Baichuan-omni-1.5 technical report
Yadong Li, Jun Liu, Tao Zhang, Song Chen, Tianpeng Li, Zehuan Li, Lijun Liu, Lingfeng Ming, Guosheng Dong, Da Pan, et al. 2025 · 2025
Closest in time.
Audio-cot: Exploring chain-of-thought reasoning in large audio language model
Ziyang Ma, Zhuo Chen, Yuping Wang, Eng Siong Chng, and Xie Chen. 2025 · 2025
Closest in time.
To cot or not to cot? chain-of-thought helps mainly on math and symbolic reasoning
Zayne Rea Sprague, Fangcong Yin, Juan Diego Rodriguez, Dongwei Jiang, Manya Wadhwa, Prasann Singhal, Xinyu Zhao, Xi Ye, Kyle Mahowald, and Greg Durrett. 2025 · 2025
Closest in time.
Spark-tts: An efficient llm-based text-to-speech model with single-stream decoupled speech tokens
Xinsheng Wang, Mingqi Jiang, Ziyang Ma, Ziyu Zhang, Songxiang Liu, Linqin Li, Zheng Liang, Qixi Zheng, Rui Wang, Xiaoqin Feng, et al. 2025 · 2025
Closest in time.
Qwen2. 5-omni technical report
Jin Xu, Zhifang Guo, Jinzheng He, Hangrui Hu, Ting He, Shuai Bai, Keqin Chen, Jialin Wang, Yang Fan, Kai Dang, et al. 2025 · 2025
Closest in time.
Music’s multimodal complexity in avqa: Why we need more than general multimodal llms
Wenhao You, Xingjian Diao, Chunhui Zhang, Keyi Kong, Weiyi Wu, Zhongyu Ouyang, Chiyu Ma, Tingxuan Wu, Noah Wei, Zong Ke, et al. 2025 · 2025
Closest in time.
Superficial self-improved reasoners benefit from model merging
Xiangchi Yuan, Chunhui Zhang, Zheyuan Liu, Dachuan Shi, Leyan Pan, Soroush Vosoughi, and Wenke Lee. 2025 · 2025
Closest in time.