Elman Mansimov
17 papers · 2015–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Conference Polyglot (8) π Academic Marathon (10) π Renaissance Researcher (7) πΊοΈ Taxonomy Completionist (45)
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Hot Topic Early Bird
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Conference Polyglot
(8)
π
Academic Marathon
(10)
π€
Dynamic Duo
(11)
π
Keyword Champion
(3)
π
Century Club
(16)
ποΈ
Keyword Collector
(73)
π₯
Unstoppable
(6)
Conferences
ACL (5)
EMNLP (4)
EACL (2)
NIPS (2)
AAAI (1)
AACL (1)
ICML (1)
IJCNLP (1)
Top co-authors
Keywords
backward compatibility
(3)
large language model
(2)
semantic parsing
(2)
neural machine translation
(2)
task-oriented dialogue
(2)
knowledge distillation
(2)
intent classification
(2)
zero-shot learning
(1)
contrastive learning
(1)
sequence generation
(1)
natural policy gradient
(1)
self-supervised learning
(1)
machine translation
(1)
conversational ai
(1)
structured prediction
(1)
sequence modeling
(1)
syntactic parsing
(1)
action recognition
(1)
dependency parsing
(1)
named entity recognition
(1)
Papers
DREAM: Deep Research Evaluation with Agentic Metrics
ACL 2026
A Study on Leveraging Search and Self-Feedback for Agent Reasoning
ACL 2025
Bootstrapping LLM-based Task-Oriented Dialogue Agents via Self-Talk
ACL 2024
Backward Compatibility During Data Updates by Weight Interpolation
EACL 2024
Improving Prediction Backward-Compatiblility in NLP Model Upgrade with Gated Fusion
EACL 2023
Conversation Style Transfer using Few-Shot Learning
AACL 2023
Pre-training Intent-Aware Encoders for Zero- and Few-Shot Intent Classification
EMNLP 2023
Conversation Style Transfer using Few-Shot Learning
IJCNLP 2023
Measuring and Reducing Model Update Regression in Structured Prediction for NLP
NIPS 2022
Semantic Parsing in Task-Oriented Dialog with Recursive Insertion-Based Encoder
AAAI 2022
Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System
ACL 2022
Label Semantic Aware Pre-training for Few-shot Text Classification
ACL 2022
Capturing document context inside sentence-level neural machine translation models with self-training
EMNLP 2021
Towards End-to-End In-Image Neural Machine Translation
EMNLP 2020
Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement
EMNLP 2018
Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation
NIPS 2017
Unsupervised Learning of Video Representations using LSTMs
ICML 2015