Bodhisattwa Prasad Majumder

Orcid: 0000-0002-7026-3100

According to our database1, Bodhisattwa Prasad Majumder authored at least 42 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning.
CoRR, 2024

Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos.
CoRR, 2024

Data-driven Discovery with Large Generative Models.
CoRR, 2024

Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills.
CoRR, 2024

2023
One Size Does Not Fit All: Customizing Open-Domain Procedures.
CoRR, 2023

To Tell The Truth: Language of Deception and Language Models.
CoRR, 2023

CLIN: A Continually Learning Language Agent for Rapid Task Adaptation and Generalization.
CoRR, 2023

Put Your Money Where Your Mouth Is: Evaluating Strategic Planning and Execution of LLM Agents in an Auction Arena.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
CoRR, 2023

Self-Refine: Iterative Refinement with Self-Feedback.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Aligning Language Models to User Opinions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models as Zero-Shot Conversational Recommenders.
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.
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.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
On Faithfulness and Coherence of Language Explanations for Recommendation Systems.
CoRR, 2022

Self-Supervised Bot Play for Transcript-Free Conversational Recommendation with Rationales.
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.
Proceedings of the International Conference on Machine Learning, 2022

Controlling Bias Exposure for Fair Interpretable Predictions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection.
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.
CoRR, 2021

Rationale-Inspired Natural Language Explanations with Commonsense.
CoRR, 2021

The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics.
CoRR, 2021

ReZero is all you need: fast convergence at large depth.
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.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Unsupervised Enrichment of Persona-grounded Dialog with Background Stories.
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.
CoRR, 2020

Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding.
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.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Representation Learning for Information Extraction from Form-like Documents.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Improving Neural Story Generation by Targeted Common Sense Grounding.
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.
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.
CoRR, 2018

Upcycle Your OCR: Reusing OCRs for Post-OCR Text Correction in Romanised Sanskrit.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

2016
Kernelized Weighted SUSAN based Fuzzy C-Means Clustering for Noisy Image Segmentation.
CoRR, 2016

Fault Detection Engine in Intelligent Predictive Analytics Platform for DCIM.
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.
Res. Comput. Sci., 2014

A novel fuzzy non-homogeneity measure based kernelized image segmentation for noisy images.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Differential evolution based score level fusion for multi-modal biometric systems.
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.
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.
Proceedings of the Swarm, Evolutionary, and Memetic Computing, 2013


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