Gupta, Manish

26 publications

ICLR 2026 In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander

ICLR 2026 Text2Arch: A Dataset for Generating Scientific Architecture Diagrams from Natural Language Descriptions Shivank Garg, Sankalp Mittal, Manish Gupta

ICCV 2025 Aligning Moments in Time Using Video Queries Yogesh Kumar, Uday Agarwal, Manish Gupta, Anand Mishra

NeurIPS 2025 Brain-Informed Fine-Tuning for Improved Multilingual Understanding in Language Models Anuja Negi, Subba Reddy Oota, Anwar O Nunez-Elizalde, Manish Gupta, Fatma Deniz

ICLR 2025 Correlating Instruction-Tuning (in Multimodal Models) with Vision-Language Processing (in the Brain) Subba Reddy Oota, Akshett Rai Jindal, Ishani Mondal, Khushbu Pahwa, Satya Sai Srinath Namburi Gnvv, Manish Shrivastava, Maneesh Kumar Singh, Bapi Raju Surampudi, Manish Gupta

TMLR 2025 Deep Neural Networks and Brain Alignment: Brain Encoding and Decoding (Survey) Subba Reddy Oota, Zijiao Chen, Manish Gupta, Bapi Raju Surampudi, Gael Jobard, Frederic Alexandre, Xavier Hinaut

ICML 2025 MOGIC: Metadata-Infused Oracle Guidance for Improved Extreme Classification Suchith Chidananda Prabhu, Bhavyajeet Singh, Anshul Mittal, Siddarth Asokan, Shikhar Mohan, Deepak Saini, Yashoteja Prabhu, Lakshya Kumar, Jian Jiao, Amit S, Niket Tandon, Manish Gupta, Sumeet Agarwal, Manik Varma

ICLR 2025 Multi-Modal Brain Encoding Models for Multi-Modal Stimuli Subba Reddy Oota, Khushbu Pahwa, Mounika Marreddy, Maneesh Kumar Singh, Manish Gupta, Bapi Raju Surampudi

AAAI 2025 PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures Shreya Shukla, Nakul Sharma, Manish Gupta, Anand Mishra

TMLR 2025 ReFeR: Improving Evaluation and Reasoning Through Hierarchy of Models Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal

ECML-PKDD 2024 CircuitVQA: A Visual Question Answering Dataset for Electrical Circuit Images Rahul Mehta, Bhavyajeet Singh, Vasudeva Varma, Manish Gupta

AAAI 2024 Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions Prajwal Gatti, Kshitij Parikh, Dhriti Prasanna Paul, Manish Gupta, Anand Mishra

ICLR 2024 Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma

ICML 2024 OAK: Enriching Document Representations Using Auxiliary Knowledge for Extreme Classification Shikhar Mohan, Deepak Saini, Anshul Mittal, Sayak Ray Chowdhury, Bhawna Paliwal, Jian Jiao, Manish Gupta, Manik Varma

NeurIPSW 2024 ReFeR: A Hierarchical Framework of Models as Evaluative and Reasoning Agents Yaswanth Narsupalli, Abhranil Chandra, Sreevatsa Muppirala, Manish Gupta, Pawan Goyal

IJCAI 2023 Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering Abhirama Subramanyam Penamakuri, Manish Gupta, Mithun Das Gupta, Anand Mishra

NeurIPS 2023 Joint Processing of Linguistic Properties in Brains and Language Models Subbareddy Oota, Manish Gupta, Mariya Toneva

ECML-PKDD 2023 Neural Models for Factual Inconsistency Classification with Explanations Tathagata Raha, Mukund Choudhary, Abhinav Menon, Harshit Gupta, KV Aditya Srivatsa, Manish Gupta, Vasudeva Varma

WACV 2023 WSNet: Towards an Effective Method for Wound Image Segmentation Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Minghsun Liu, Manish Gupta

CVPR 2022 Robust Outlier Detection by De-Biasing VAE Likelihoods Kushal Chauhan, Barath Mohan U, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan

NeurIPSW 2021 DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection Nicolaas Paul Jedema, Thuy Vu, Thuy Vu, Manish Gupta, Alessandro Moschitti

WACV 2021 HealTech - A System for Predicting Patient Hospitalization Risk and Wound Progression in Old Patients Subba Reddy Oota, Vijay Rowtula, Shahid Mohammed, Jeffrey Galitz, Minghsun Liu, Manish Gupta

WACV 2021 Multi-Task Knowledge Distillation for Eye Disease Prediction Sahil Chelaramani, Manish Gupta, Vipul Agarwal, Prashant Gupta, Ranya Habash

AAAI 2018 Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization Abhishek Kumar Singh, Manish Gupta, Vasudeva Varma

ECML-PKDD 2013 Community Distribution Outlier Detection in Heterogeneous Information Networks Manish Gupta, Jing Gao, Jiawei Han

ECML-PKDD 2012 Community Trend Outlier Detection Using Soft Temporal Pattern Mining Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han