Igor Shalyminov
12 papers · 2017–2025 · 4 venues · across top CS/AI venues
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Research topics
Natural Language Processing
(9)
Generation
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Artificial Intelligence
(6)
Machine Learning
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Core AI
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Deep Learning
(5)
Applications
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Learning Types Β· Machine Learning
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Learning Types Β· Deep Learning
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Core Methods
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Models
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Learning Paradigms
(1)
Optimization & Theory
(1)
Resources & Methods
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Keywords
text generation
(2)
large language model
(2)
abstractive summarization
(2)
text summarization
(2)
hallucination detection
(2)
dialogue summarization
(2)
dialogue system
(2)
transfer learning
(1)
image generation
(1)
reinforcement learning
(1)
question answering
(1)
dialogue generation
(1)
factuality evaluation
(1)
knowledge distillation
(1)
text-to-image synthesis
(1)
few-shot learning
(1)
intent classification
(1)
task-oriented dialogue
(1)
synthetic data generation
(1)
knowledge transfer
(1)
Papers
Faithful, Unfaithful or Ambiguous? Multi-Agent Debate with Initial Stance for Summary Evaluation
NAACL 2025
Can Your Model Tell a Negation from an Implicature? Unravelling Challenges With Intent Encoders
ACL 2024
CERET: Cost-Effective Extrinsic Refinement for Text Generation
NAACL 2024
Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights
ECCV 2024
FineSurE: Fine-grained Summarization Evaluation using LLMs
ACL 2024
MAGID: An Automated Pipeline for Generating Synthetic Multi-modal Datasets
NAACL 2024
Semi-Supervised Dialogue Abstractive Summarization via High-Quality Pseudolabel Selection
NAACL 2024
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
NAACL 2024
Enhancing Abstractiveness of Summarization Models through Calibrated Distillation
EMNLP 2023
Data-Efficient Goal-Oriented Conversation with Dialogue Knowledge Transfer Networks
EMNLP 2019
Neural Response Ranking for Social Conversation: A Data-Efficient Approach
EMNLP 2018
Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars
EMNLP 2017