Palash Goyal
15 papers · 2020–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (36)
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Century Club · Bronze
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Research topics
Machine Learning
(11)
Artificial Intelligence
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Core AI
(9)
Natural Language Processing
(6)
Learning Types · Machine Learning
(6)
Deep Learning
(5)
Application Areas
(4)
Generation
(4)
Core Methods
(3)
Optimization & Theory
(3)
Learning Types · Deep Learning
(2)
Models
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Resources & Methods
(2)
Computer Science
(1)
Knowledge & Reasoning
(1)
Keywords
large language model
(5)
text generation
(2)
in-context learning
(2)
zero-shot learning
(1)
automated planning
(1)
collaborative filtering
(1)
curriculum learning
(1)
kl divergence
(1)
label hierarchy
(1)
toxicity detection
(1)
text representation
(1)
ambiguity resolution
(1)
text-to-image generation
(1)
responsible ai
(1)
mutual information
(1)
safety alignment
(1)
constraint satisfaction
(1)
inverse dynamics
(1)
hierarchical classification
(1)
reinforcement learning
(1)
Papers
Watch and Learn: Learning to Use Computers from Online Videos
CVPR 2026
PlanGEN: A Multi-Agent Framework for Generating Planning and Reasoning Trajectories for Complex Problem Solving
EMNLP 2025
PLAN-TUNING: Post-Training Language Models to Learn Step-by-Step Planning for Complex Problem Solving
EMNLP 2025
Attribute Controlled Fine-tuning for Large Language Models: A Case Study on Detoxification
EMNLP 2024
BELIEVE: Belief-Enhanced Instruction Generation and Augmentation for Zero-Shot Bias Mitigation
NAACL 2024
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
FLIRT: Feedback Loop In-context Red Teaming
EMNLP 2024
MICo: Preventative Detoxification of Large Language Models through Inhibition Control
NAACL 2024
The steerability of large language models toward data-driven personas
NAACL 2024
Tokenization Matters: Navigating Data-Scarce Tokenization for Gender Inclusive Language Technologies
NAACL 2024
Faithful Model Evaluation for Model-Based Metrics
EMNLP 2023
Resolving Ambiguities in Text-to-Image Generative Models
ACL 2023
Hierarchical Class-Based Curriculum Loss
IJCAI 2021
Pykg2vec: A Python Library for Knowledge Graph Embedding
JMLR 2021
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
AAAI 2020