Search: Year: Venue:
Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models

Anuja Negi*, Subba Reddy Oota*, Anwar Nunez-Elizalde, Manish Gupta, Fatma Deniz * Equal contribution

NeurIPS 2025 (A*) (Acceptance Rate: 24.5%)

Aligning Text/Speech Representations from Multimodal Models with MEG Brain Activity During Listening

Padakanti Srijith, Khushbu Pahwa, Radhika Mamidi, Bapi Raju Surampudi, Manish Gupta, Subba Reddy Oota

EMNLP Main 2025 (Long) (A*) (Acceptance Rate: 22.16%) 🏆 SAC Highlight Award (Top 2% of accepted papers)

SAC Highlight Award (Top 2% of accepted papers)
Instruction-Tuned Video-Audio Models Elucidate Functional Specialization in the Brain

Subba Reddy Oota, Khushbu Pahwa, Prachi Jindal, Satyasai Srinath Namburi, Maneesh Singh, Tanmoy Chakraborty, Raju S. Bapi, Manish Gupta

Arxiv (Pre-print)

USDC: A Dataset of User Stance and Dogmatism in Long Conversations

Mounika Marreddy, Subba Reddy Oota, Venkata Charan Chinni, Manish Gupta, Lucie Flek

ACL Findings 2025 (Long) (A*) (Acceptance Rate: 25.5%)

Correlating instruction-tuning (in multimodal models) with vision-language processing (in the brain)

Subba Reddy Oota, Akshett Jindal, Ishani Mondal, Khushbu Pahwa, Satyasai Srinath Namburi, Manish Shrivastava, Maneesh Singh, Raju S. Bapi, Manish Gupta

ICLR 2025 (A*) (Acceptance Rate: 32.08%)

Multi-modal brain encoding models for multi-modal stimuli

Subba Reddy Oota, Khushbu Pahwa, Maneesh Singh, Raju S. Bapi, Manish Gupta

ICLR 2025 (A*) (Acceptance Rate: 32.08%)

Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding

Subba Reddy Oota, Zijiao Chen, Manish Gupta, Bapi S. Raju, Gael Jobard, Frederic Alexandre, Xavier Hinaut

TMLR Journal

Speech language models lack important brain-relevant semantics

Subba Reddy Oota, Emin Celik, Fatma Deniz, Mariya Toneva

ACL 2024 (Long) (A*) (Acceptance Rate: 21.3%)

Joint processing of linguistic properties in brains and language models

Subba Reddy Oota, Manish Gupta, Mariya Toneva

NeurIPS 2023 (A*) (Acceptance Rate: 26.1%)

On Robustness of Finetuned Transformer-based NLP Models

Pavan Kalyan Reddy Neerudu*, Subba Reddy Oota*, Mounika Marreddy, Manish Gupta * Equal contribution

EMNLP Findings 2023 (Long) (A*) (Acceptance Rate: 22.5%)

How does the brain process syntactic structure while listening?

Subba Reddy Oota, Mounika Marreddy, Bapi S. Raju, Manish Gupta

ACL 2023 Findings (Long) (A*) (Acceptance Rate: 23.5%)

Speech Taskonomy: Which Speech Tasks are the most Predictive of fMRI Brain Activity?

Subba Reddy Oota, Veeral Agrawal, Mounika Marreddy, Bapi S. Raju, Manish Gupta

INTERSPEECH 2023 (A) (Acceptance Rate: 48.2%)

MEG Encoding using Word Context Semantics in Listening Stories

Subba Reddy Oota, Nathan Trouvain, Frederic Alexandre, Xavier Hinaut

INTERSPEECH 2023(A) (Acceptance Rate: 48.2%)

Neural Architecture of Speech

Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Bapi S. Raju, Manish Gupta

ICASSP 2023 (Acceptance Rate: 46.4%)

WSNet: Towards An Effective Method for Wound Image Segmentation

Subba Reddy Oota, Vijay Rowtula, Shahid Mohammad, Manish Gupta

WACV 2023 (A) (Acceptance Rate: 29.6%)

Visio-Linguistic Brain Encoding

Subba Reddy Oota, Jashn Arora, Vijay Rowtula, Manish Gupta, Bapi S. Raju

COLING 2022 (Long, Oral) (A) (Acceptance Rate: 30.7%)

Multi-view and Cross-view Brain Decoding

Subba Reddy Oota, Jashn Arora, Manish Gupta, Bapi S. Raju

COLING 2022 (Long, Oral) (A) (Acceptance Rate: 30.7%)

Neural Language Taskonomy: Which NLP Tasks are the Most Predictive of Brain Activity

Subba Reddy Oota, Jashn Arora, Veeral Agrawal, Mounika Marreddy, Bapi S. Raju, Manish Gupta

NAACL 2022 (Long, Oral) (A) (Acceptance Rate: 21.3%)

HealTech: A System for Predicting Patient Hospitalization Risk and Wound Progression

Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Ming Liu, Jeffrey Galitz, Manish Gupta

WACV 2021 (A) (Acceptance Rate: 27.6%)