Palash Goyal
14 papers · 2020–2025 · 6 conferences · across top CS/AI conferences
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EMNLP (6)
NAACL (4)
AAAI (1)
ACL (1)
IJCAI (1)
JMLR (1)
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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)
generative model
(1)
toxicity detection
(1)
text representation
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ambiguity resolution
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text-to-image generation
(1)
responsible ai
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mutual information
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safety alignment
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constraint satisfaction
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label hierarchy
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hierarchical classification
(1)
reinforcement learning
(1)
Papers
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
Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
EMNLP 2024
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
FLIRT: Feedback Loop In-context Red Teaming
EMNLP 2024
The steerability of large language models toward data-driven personas
NAACL 2024
MICo: Preventative Detoxification of Large Language Models through Inhibition Control
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
Pykg2vec: A Python Library for Knowledge Graph Embedding
JMLR 2021
Hierarchical Class-Based Curriculum Loss
IJCAI 2021
Modeling Dialogues with Hashcode Representations: A Nonparametric Approach
AAAI 2020