Inkit Padhi
18 papers · 2016–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (8) π Interdisciplinary Bridge π Conference Polyglot (9) π Academic Marathon (9) πΊοΈ Taxonomy Completionist (41)
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Keyword Pioneer
πΊοΈ
Taxonomy Completionist
(41)
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Renaissance Researcher
(8)
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Keyword Trendsetter Combo
(3)
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Grand Slam
π₯
Mega-Team
(22)
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Topic Evolution
β
The Questioner
ποΈ
Keyword Collector
(75)
π₯
Unstoppable
(8)
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Century Club
(17)
Conferences
NIPS (5)
EMNLP (4)
ACL (3)
AAAI (1)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
NAACL (1)
Top co-authors
Keywords
text generation
(5)
large language model
(4)
moment matching
(2)
pretrained language model
(2)
generative model
(2)
value alignment
(2)
style transfer
(2)
implicit generative model
(2)
transfer learning
(2)
feature selection
(1)
offensive language detection
(1)
commonsense knowledge
(1)
feature matching
(1)
adversarial training
(1)
natural language processing
(1)
benchmark evaluation
(1)
synthetic data generation
(1)
fact verification
(1)
knowledge base
(1)
ai safety
(1)
Papers
Answering the Wrong Question: Reasoning Trace Inversion for Abstention in LLMs
ACL 2026
Granite Guardian: Comprehensive LLM Safeguarding
NAACL 2025
Programming Refusal with Conditional Activation Steering
ICLR 2025
WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from Wikipedia
NIPS 2024
Value Alignment from Unstructured Text
EMNLP 2024
ComVas: Contextual Moral Values Alignment System
IJCAI 2024
Reprogramming Pretrained Language Models for Antibody Sequence Infilling
ICML 2023
The Impact of Positional Encoding on Length Generalization in Transformers
NIPS 2023
Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting
NIPS 2022
ReGen: Reinforcement Learning for Text and Knowledge Base Generation using Pretrained Language Models
EMNLP 2021
Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text
AAAI 2021
DualTKB: A Dual Learning Bridge between Text and Knowledge Base
EMNLP 2020
CogMol: Target-Specific and Selective Drug Design for COVID-19 Using Deep Generative Models
NIPS 2020
Learning Implicit Text Generation via Feature Matching
ACL 2020
Learning Implicit Generative Models by Matching Perceptual Features
ICCV 2019
Sobolev Independence Criterion
NIPS 2019
Fighting Offensive Language on Social Media with Unsupervised Text Style Transfer
ACL 2018
Does String-Based Neural MT Learn Source Syntax?
EMNLP 2016