Nishit Anand

According to our database, Nishit Anand authored at least 14 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Audio Flamingo Next: Next-Generation Open Audio-Language Models for Speech, Sound, and Music.

Sreyan Ghosh, Arushi Goel, Kaousheik Jayakumar, Lasha Koroshinadze, Nishit Anand, Zhifeng Kong, Siddharth Gururani, Sang-gil Lee, Jaehyeon Kim, Aya Aljafari, Chao-Han Huck Yang, Sungwon Kim, Ramani Duraiswami, Dinesh Manocha, Mohammad Shoeybi, Bryan Catanzaro, Ming-Yu Liu, Wei Ping

CoRR, April, 2026

Audio Hallucination Attacks: Probing the Reliability of Large Audio Language Models.

Ashish Seth, Sonal Kumar, Ramaneswaran Selvakumar, Nishit Anand, Utkarsh Tyagi, Prem Seetharaman, Ramani Duraiswami, Dinesh Manocha

CoRR, March, 2026

MMOU: A Massive Multi-Task Omni Understanding and Reasoning Benchmark for Long and Complex Real-World Videos.

Arushi Goel, Sreyan Ghosh, Vatsal Agarwal, Nishit Anand, Kaousheik Jayakumar, Lasha Koroshinadze, Yao Xu, Katie Lyons, James Case, Karan Sapra, Kevin J. Shih, Siddharth Gururani, Abhinav Shrivastava, Ramani Duraiswami, Dinesh Manocha, Andrew Tao, Bryan Catanzaro, Mohammad Shoeybi, Wei Ping

CoRR, March, 2026

Gencho: Room Impulse Response Generation from Reverberant Speech and Text via Diffusion Transformers.

Jackie Lin, Jiaqi Su, Nishit Anand, Zeyu Jin, Minje Kim, Paris Smaragdis

CoRR, February, 2026

MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence.

Sonal Kumar, Simon Sedlácek, Vaibhavi Lokegaonkar, Fernando López, Wenyi Yu, Nishit Anand, Hyeonggon Ryu, Lichang Chen, Maxim Plicka, Miroslav Hlavácek, William Fineas Ellingwood, Sathvik Udupa, Siyuan Hou, Allison Ferner, Sara Barahona, Cecilia Bolaños, Satish Rahi, Laura Herrera-Alarcón, Satvik Dixit, Rupali S. Patil, Soham Deshmukh, Lasha Koroshinadze, Yao Liu, Leibny Paola García-Perera, Eleni Zanou, Themos Stafylakis, Joon Son Chung, David Harwath, Chao Zhang, Dinesh Manocha, Alicia Lozano-Diez, Santosh Kesiraju, Sreyan Ghosh, Ramani Duraiswami

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Why Stop at Words? Unveiling the Bigger Picture through Line-Level OCR.

Shashank Vempati, Nishit Anand, Gaurav Talebailkar, Arpan Garai, Chetan Arora

CoRR, August, 2025

MultiVox: Benchmarking Voice Assistants for Multimodal Interactions.

Ramaneswaran Selvakumar, Ashish Seth, Nishit Anand, Utkarsh Tyagi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha

CoRR, July, 2025

Mitigating Memorization in LLMs using Activation Steering.

Manan Suri, Nishit Anand, Amisha Bhaskar

CoRR, March, 2025

Do Audio-Language Models Understand Linguistic Variations?

Ramaneswaran Selvakumar, Sonal Kumar, Hemant Kumar Giri, Nishit Anand, Ashish Seth, Sreyan Ghosh, Dinesh Manocha

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Aurelia: Test-Time Reasoning Distillation in Audio-Visual LLMs.

Sanjoy Chowdhury, Hanan Gani, Nishit Anand, Sayan Nag, Ruohan Gao, Mohamed Elhoseiny, Salman Khan, Dinesh Manocha

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

TSPE: Task-Specific Prompt Ensemble for Improved Zero-Shot Audio Classification.

Nishit Anand, Ashish Seth, Ramani Duraiswami, Dinesh Manocha

Proceedings of the IEEE International Conference on Acoustics, 2025

EGOILLUSION: Benchmarking Hallucinations in Egocentric Video Understanding.

Ashish Seth, Utkarsh Tyagi, Ramaneswaran Selvakumar, Nishit Anand, Sonal Kumar, Sreyan Ghosh, Ramani Duraiswami, Chirag Agarwal, Dinesh Manocha

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

MULTIVOX: A Benchmark for Evaluating Voice Assistants for Multimodal Interactions.

Ramaneswaran Selvakumar, Ashish Seth, Nishit Anand, Utkarsh Tyagi, Sonal Kumar, Sreyan Ghosh, Dinesh Manocha

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2023

A Hurst-based diffusion model using time series characteristics for influence maximization in social networks.

Bhawna Saxena, Vikas Saxena, Nishit Anand, Vikas Hassija, Vinay Chamola, Amir Hussain

Expert Syst. J. Knowl. Eng., November, 2023