Bodhisattwa Prasad Majumder

According to our database, Bodhisattwa Prasad Majumder authored at least 49 papers between 2013 and 2025.

Collaborative distances:

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

2025

Self-Supervised Bot Play for Transcript-Free Conversational Critiquing with Rationales.

Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley

Trans. Recomm. Syst., March, 2025

2024

The Good, the Bad, and the Ugly: The Role of AI Quality Disclosure in Lie Detection.

Haimanti Bhattacharya, Subhasish Dugar, Sanchaita Hazra, Bodhisattwa Prasad Majumder

CoRR, 2024

DiscoveryBench: Towards Data-Driven Discovery with Large Language Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Bhavana Dalvi Mishra, Abhijeetsingh Meena, Aryan Prakhar, Tirth Vora, Tushar Khot, Ashish Sabharwal, Peter Clark

CoRR, 2024

DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents.

Peter A. Jansen, Marc-Alexandre Côté, Tushar Khot, Erin Bransom, Bhavana Dalvi Mishra, Bodhisattwa Prasad Majumder, Oyvind Tafjord, Peter Clark

CoRR, 2024

Data-driven Discovery with Large Generative Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark

CoRR, 2024

To Tell The Truth: Language of Deception and Language Models.

Sanchaita Hazra, Bodhisattwa Prasad Majumder

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.

Kolby Nottingham, Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Sameer Singh, Peter Clark, Roy Fox

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Data-driven Discovery with Large Generative Models.

Bodhisattwa Prasad Majumder, Harshit Surana, Dhruv Agarwal, Sanchaita Hazra, Ashish Sabharwal, Peter Clark

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos.

Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.

Zhouhang Xie, Bodhisattwa Prasad Majumder, Mengjie Zhao, Yoshinori Maeda, Keiichi Yamada, Hiromi Wakaki, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization.

Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

User-centric Natural Language Processing

Bodhisattwa Prasad Majumder

PhD thesis, 2023

One Size Does Not Fit All: Customizing Open-Domain Procedures.

Yash Kumar Lal, Li Zhang, Faeze Brahman, Bodhisattwa Prasad Majumder, Peter Clark, Niket Tandon

CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.

Bodhisattwa Prasad Majumder, Bhavana Dalvi Mishra, Peter A. Jansen, Oyvind Tafjord, Niket Tandon, Li Zhang, Chris Callison-Burch, Peter Clark

CoRR, 2023

Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena.

Jiangjie Chen, Siyu Yuan, Rong Ye, Bodhisattwa Prasad Majumder, Kyle Richardson

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Sean Welleck, Bodhisattwa Prasad Majumder, Shashank Gupta, Amir Yazdanbakhsh, Peter Clark

CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.

Aman Madaan, Niket Tandon, Prakhar Gupta, Skyler Hallinan, Luyu Gao, Sarah Wiegreffe, Uri Alon, Nouha Dziri, Shrimai Prabhumoye, Yiming Yang, Shashank Gupta, Bodhisattwa Prasad Majumder, Katherine Hermann, Sean Welleck, Amir Yazdanbakhsh, Peter Clark

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions.

Bodhisattwa Prasad Majumder, Zexue He, Julian J. McAuley

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Aligning Language Models to User Opinions.

EunJeong Hwang, Bodhisattwa Prasad Majumder, Niket Tandon

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models as Zero-Shot Conversational Recommenders.

Zhankui He, Zhouhang Xie, Rahul Jha, Harald Steck, Dawen Liang, Yesu Feng, Bodhisattwa Prasad Majumder, Nathan Kallus, Julian J. McAuley

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.

Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Factual and Informative Review Generation for Explainable Recommendation.

Zhouhang Xie, Sameer Singh, Julian J. McAuley, Bodhisattwa Prasad Majumder

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

On Faithfulness and Coherence of Language Explanations for Recommendation Systems.

Zhouhang Xie, Julian J. McAuley, Bodhisattwa Prasad Majumder

CoRR, 2022

Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales.

Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley

Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.

Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley

Proceedings of the International Conference on Machine Learning, 2022

Controlling Bias Exposure for Fair Interpretable Predictions.

Zexue He, Yu Wang, Julian J. McAuley, Bodhisattwa Prasad Majumder

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.

Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Self-Supervised Bot Play for Conversational Recommendation with Justifications.

Shuyang Li, Bodhisattwa Prasad Majumder, Julian J. McAuley

CoRR, 2021

Rationale-Inspired Natural Language Explanations with Commonsense.

Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley

CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.

Sebastian Gehrmann, Tosin P. Adewumi, Karmanya Aggarwal, Pawan Sasanka Ammanamanchi, Aremu Anuoluwapo, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh D. Dhole, Wanyu Du, Esin Durmus, Ondrej Dusek, Chris Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Rubungo Andre Niyongabo, Salomey Osei, Ankur P. Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, João Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hendrik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola, Jiawei Zhou

CoRR, 2021

ReZero is all you need: fast convergence at large depth.

Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Ask what's missing and what's useful: Improving Clarification Question Generation using Global Knowledge.

Bodhisattwa Prasad Majumder, Sudha Rao, Michel Galley, Julian J. McAuley

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding.

Zexue He, Bodhisattwa Prasad Majumder, Julian J. McAuley

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.

Bodhisattwa Prasad Majumder, Taylor Berg-Kirkpatrick, Julian J. McAuley, Harsh Jhamtani

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Interview: A Large-Scale Open-Source Corpus of Media Dialog.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

CoRR, 2020

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions.

Bodhisattwa Prasad Majumder, Harsh Jhamtani, Taylor Berg-Kirkpatrick, Julian J. McAuley

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Representation Learning for Information Extraction from Form-like Documents.

Bodhisattwa Prasad Majumder, Navneet Potti, Sandeep Tata, James Bradley Wendt, Qi Zhao, Marc Najork

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Improving Neural Story Generation by Targeted Common Sense Grounding.

Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Generating Personalized Recipes from Historical User Preferences.

Bodhisattwa Prasad Majumder, Shuyang Li, Jianmo Ni, Julian J. McAuley

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Deep Recurrent Neural Networks for Product Attribute Extraction in eCommerce.

Bodhisattwa Prasad Majumder, Aditya Subramanian, Abhinandan Krishnan, Shreyansh Gandhi, Ajinkya More

CoRR, 2018

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit.

Amrith Krishna, Bodhisattwa Prasad Majumder, Rajesh Shreedhar Bhat, Pawan Goyal

Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2016

Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

CoRR, 2016

Fault Detection Engine in Intelligent Predictive Analytics Platform for DCIM.

Bodhisattwa Prasad Majumder, Ayan Sengupta, Sajal Jain, Parikshit Bhaduri

CoRR, 2016

2014

Implementation of a Two-tier Double Auction for On-line Power Purchasing in the Simulation of a Distributed Intelligent Cyber-Physical System.

Denise M. Case, Mohammad Nazif Faqiry, Bodhisattwa Prasad Majumder, Sanjoy Das, Scott A. DeLoach

Res. Comput. Sci., 2014

A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Differential evolution based score level fusion for multi-modal biometric systems.

Satrajit Mukherjee, Kunal Pal, Bodhisattwa Prasad Majumder, Chiranjib Saha, Bijaya K. Panigrahi, Sanjoy Das

Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, 2014

An efficient iterative double auction for energy trading in microgrids.

Bodhisattwa Prasad Majumder, Mohammad Nazif Faqiry, Sanjoy Das, Anil Pahwa

Proceedings of the 2014 IEEE Symposium on Computational Intelligence Applications in Smart Grid, 2014

2013

An Adaptive Differential Evolution Based Fuzzy Approach for Edge Detection in Color and Grayscale Images.

Satrajit Mukherjee, Bodhisattwa Prasad Majumder, Aritran Piplai, Swagatam Das

Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013