Bodhisattwa Prasad Majumder
29 papers · 2019–2026 · 8 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (54) 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Grand Slam
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Mega-Team · Legion
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Dynamic Duo
(16)
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The Questioner
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Unstoppable · Bronze
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Century Club · Bronze
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Prolific Year · Productive
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Renaissance Researcher
(6)
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Keyword Collector
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Research topics
Artificial Intelligence
(22)
Core AI
(22)
Machine Learning
(16)
Natural Language Processing
(16)
Generation
(12)
Learning Types · Machine Learning
(9)
Deep Learning
(8)
Application Areas
(5)
Core Methods
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Applications
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Learning Types · Deep Learning
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Models
(3)
Resources & Methods
(3)
Computer Vision
(2)
Data Science & Analytics
(2)
Keywords
large language model
(6)
text generation
(4)
agent system
(3)
knowledge grounding
(3)
dialogue system
(2)
sensitive attribute
(2)
gradient-based decoding
(2)
external knowledge
(2)
dialog generation
(2)
data-driven discovery
(2)
bias mitigation
(2)
natural language explanation
(2)
persona-grounded dialog
(2)
commonsense knowledge
(1)
text classification
(1)
natural language generation
(1)
information extraction
(1)
natural language processing
(1)
adversarial learning
(1)
natural language inference
(1)
Papers
Evaluating Language Model Pluralism through In-the-wild Crowd Discussions
ACL 2026
CodeScientist: End-to-End Semi-Automated Scientific Discovery with Code-based Experimentation
ACL 2025
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
ICLR 2025
Latent Factor Models Meets Instructions: Goal-conditioned Latent Factor Discovery without Task Supervision
NAACL 2025
Position: AI Safety should prioritize the Future of Work
ICML 2025
Social Intelligence in the Age of LLMs
NAACL 2025
DiscoveryWorld: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
NeurIPS 2024
Few-shot Dialogue Strategy Learning for Motivational Interviewing via Inductive Reasoning
ACL 2024
Position: Data-driven Discovery with Large Generative Models
ICML 2024
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills
ICML 2024
Tailoring with Targeted Precision: Edit-Based Agents for Open-Domain Procedure Customization
ACL 2024
Tell, Don’t Show: Language Guidance Eases Transfer Across Domains in Images and Videos
ICML 2024
To Tell The Truth: Language of Deception and Language Models
NAACL 2024
Factual and Informative Review Generation for Explainable Recommendation
AAAI 2023
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations
ACL 2023
Self-Refine: Iterative Refinement with Self-Feedback
NeurIPS 2023
Achieving Conversational Goals with Unsupervised Post-hoc Knowledge Injection
ACL 2022
Controlling Bias Exposure for Fair Interpretable Predictions
EMNLP 2022
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations
ICML 2022
Ask what’s missing and what’s useful: Improving Clarification Question Generation using Global Knowledge
NAACL 2021
Detect and Perturb: Neutral Rewriting of Biased and Sensitive Text via Gradient-based Decoding
EMNLP 2021
ReZero is all you need: fast convergence at large depth
UAI 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
ACL 2021
Unsupervised Enrichment of Persona-grounded Dialog with Background Stories
ACL 2021
Interview: Large-scale Modeling of Media Dialog with Discourse Patterns and Knowledge Grounding
EMNLP 2020
Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions
EMNLP 2020
Representation Learning for Information Extraction from Form-like Documents
ACL 2020
Generating Personalized Recipes from Historical User Preferences
EMNLP 2019
Improving Neural Story Generation by Targeted Common Sense Grounding
EMNLP 2019