Igor Kiselev
6 papers · 2019–2026 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (20) π£ Hot Topic Early Bird
π
Conference Pioneer
Top co-authors
Research topics
Artificial Intelligence
(4)
Machine Learning
(3)
Core AI
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Natural Language Processing
(1)
Applications
(1)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Bayesian & Probabilistic Β· Machine Learning
(1)
Core Methods
(1)
Generation
(1)
Learning Types
(1)
Methods
(1)
Optimization & Theory
(1)
Keywords
large language model
(3)
policy optimization
(1)
variational inference
(1)
belief propagation
(1)
probabilistic inference
(1)
uncertainty quantification
(1)
self-supervised learning
(1)
supervised learning
(1)
instruction following
(1)
continued pretraining
(1)
entropy approximation
(1)
partially observable markov decision process
(1)
bayesian network
(1)
graphical model
(1)
latent action
(1)
object-centric learning
(1)
downstream performance
(1)
hallucination detection
(1)
out-of-domain generalization
(1)
linear probing
(1)
Papers
Object-Centric Latent Action Learning
AAAI 2026
ThinkBooster: A Unified Framework for Seamless Test-Time Scaling of LLM Reasoning
ACL 2026
A Head to Predict and a Head to Question: Pre-trained Uncertainty Quantification Heads for Hallucination Detection in LLM Outputs
EMNLP 2025
Latent Action Learning Requires Supervision in the Presence of Distractors
ICML 2025
[RETRACTED] Vikhr: Constructing a State-of-the-art Bilingual Open-Source Instruction-Following Large Language Model for Russian
EMNLP 2024
Variational BEJG Solvers for Marginal-MAP Inference with Accurate Approximation of B-Conditional Entropy
AAAI 2019