Kartik Goyal
14 papers · 2013–2025 · 7 venues · across top CS/AI venues
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Achievements
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🗺️ Taxonomy Completionist (40) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge · Gold 🏃 Academic Marathon · Half
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Keyword Pioneer
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Trend Setter
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Renaissance Researcher
(6)
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Century Club · Bronze
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Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(12)
Natural Language Processing
(8)
Artificial Intelligence
(6)
Deep Learning
(6)
Core AI
(6)
Learning Types · Machine Learning
(5)
Optimization & Theory · Machine Learning
(5)
Generation
(4)
Application Areas
(3)
Learning Types · Deep Learning
(3)
Models
(3)
Optimization & Theory · Deep Learning
(3)
Resources & Methods
(3)
Computer Science
(2)
Interdisciplinary
(2)
Keywords
named entity recognition
(3)
language model
(3)
machine translation
(3)
masked language model
(2)
energy-based model
(2)
markov chain monte carlo
(1)
metropolis-hastings sampling
(1)
metric learning
(1)
low-resource language
(1)
unsupervised clustering
(1)
language modeling
(1)
conditional generation
(1)
natural language generation
(1)
maximum a posteriori
(1)
probabilistic generative model
(1)
image matching
(1)
document analysis
(1)
metropolis-hastings algorithm
(1)
cross-lingual transfer
(1)
transfer learning
(1)
Papers
Cascaded Information Disclosure for Generalized Evaluation of Problem Solving Capabilities
IJCNLP 2025
Train It and Forget It: Merge Lists are Unnecessary for BPE Inference in Language Models
EMNLP 2025
MAP’s not dead yet: Uncovering true language model modes by conditioning away degeneracy
ACL 2024
Contrastive Attention Networks for Attribution of Early Modern Print
AAAI 2023
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
ICLR 2022
Mix and Match: Learning-free Controllable Text Generationusing Energy Language Models
ACL 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
EMNLP 2022
A Probabilistic Generative Model for Typographical Analysis of Early Modern Printing
ACL 2020
An Empirical Investigation of Global and Local Normalization for Recurrent Neural Sequence Models Using a Continuous Relaxation to Beam Search
NAACL 2019
Differentiable Scheduled Sampling for Credit Assignment
ACL 2017
Named Entity Recognition for Linguistic Rapid Response in Low-Resource Languages: Sorani Kurdish and Tajik
COLING 2016
PanPhon: A Resource for Mapping IPA Segments to Articulatory Feature Vectors
COLING 2016
Unsupervised Word Sense Induction using Distributional Statistics
COLING 2014
A Structured Distributional Semantic Model for Event Co-reference
ACL 2013