Toxicity in chatgpt: Analyzing persona-assigned language models A Deshpande, V Murahari, T Rajpurohit, A Kalyan, K Narasimhan EMNLP 2023, 2023 | 154 | 2023 |
Figurenet: A deep learning model for question-answering on scientific plots R Reddy, R Ramesh, A Deshpande, MM Khapra 2019 International Joint Conference on Neural Networks (IJCNN), 1-8, 2019 | 31* | 2019 |
When is bert multilingual? isolating crucial ingredients for cross-lingual transfer A Deshpande, P Talukdar, K Narasimhan NAACL 2022, 2021 | 29 | 2021 |
Guiding Attention for Self-Supervised Learning with Transformers A Deshpande, K Narasimhan EMNLP 2020, 2020 | 17 | 2020 |
Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs S Gupta, V Shrivastava, A Deshpande, A Kalyan, P Clark, A Sabharwal, ... ICLR 2024, 2023 | 11 | 2023 |
Anthropomorphization of AI: Opportunities and Risks A Deshpande, T Rajpurohit, K Narasimhan, A Kalyan EMNLP 2023, NLLP Workshop, 2023 | 11 | 2023 |
Instructeval: Systematic evaluation of instruction selection methods A Ajith, M Xia, A Deshpande, KR Narasimhan R0-FoMo: Robustness of Few-shot and Zero-shot Learning in Large Foundation …, 2023 | 8 | 2023 |
MUX-PLMs: Pre-training Language Models with Data Multiplexing V Murahari, A Deshpande, CE Jimenez, I Shafran, M Wang, Y Cao, ... EMNLP 2023, 2023 | 7* | 2023 |
C-STS: Conditional Semantic Textual Similarity A Deshpande, CE Jimenez, H Chen, V Murahari, V Graf, T Rajpurohit, ... EMNLP 2023, 2023 | 6 | 2023 |
Semantic supervision: Enabling generalization over output spaces AW Hanjie, A Deshpande, K Narasimhan ACL 2022, LNLS Workshop, 2022 | 6 | 2022 |
Evaluating a generative adversarial framework for information retrieval A Deshpande, MM Khapra Technical Report, 2020 | 3* | 2020 |
SemSup-XC: semantic supervision for zero and few-shot extreme classification P Aggarwal, A Deshpande, KR Narasimhan International Conference on Machine Learning, 228-247, 2023 | 2 | 2023 |
Sentiment analysis for reinforcement learning A Deshpande, E Fleisig Technical Report, 2020 | 2 | 2020 |
GEO: Generative Engine Optimization P Aggarwal, V Murahari, T Rajpurohit, A Kalyan, KR Narasimhan, ... arXiv preprint arXiv:2311.09735, 2023 | 1 | 2023 |
SPARTAN: Sparse Hierarchical Memory for Parameter-Efficient Transformers A Deshpande, MA Sultan, A Ferritto, A Kalyan, K Narasimhan, A Sil Technical Report, 2022 | 1 | 2022 |
Improvements on hindsight learning A Deshpande, S Sarma, A Jha, B Ravindran Technical Report, 2018 | 1 | 2018 |
RLHF Deciphered: A Critical Analysis of Reinforcement Learning from Human Feedback for LLMs S Chaudhari, P Aggarwal, V Murahari, T Rajpurohit, A Kalyan, ... arXiv preprint arXiv:2404.08555, 2024 | | 2024 |
Proceedings of the 1st Workshop on Personalization of Generative AI Systems (PERSONALIZE 2024) A Deshpande, EJ Hwang, V Murahari, JS Park, D Yang, A Sabharwal, ... Proceedings of the 1st Workshop on Personalization of Generative AI Systems …, 2024 | | 2024 |
QualEval: Qualitative Evaluation for Model Improvement V Murahari, A Deshpande, P Clark, T Rajpurohit, A Sabharwal, ... arXiv preprint arXiv:2311.02807, 2023 | | 2023 |
Distraction-free Embeddings for Robust VQA A Dogra, D Varshney, A Kalyan, A Deshpande, N Kumar Technical Report, 2023 | | 2023 |