Emine Yilmaz
32 papers · 2016–2026 · 8 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (81) π Conference Polyglot Β· Silver π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Keyword Champion
(3)
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Renaissance Researcher
(7)
π₯
Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Keyword Collector
(159)
Top co-authors
Research topics
Machine Learning
(24)
Natural Language Processing
(21)
Artificial Intelligence
(17)
Core AI
(14)
Learning Types Β· Machine Learning
(14)
Deep Learning
(13)
Generation
(12)
Applications
(10)
Application Areas
(9)
Optimization & Theory
(8)
Core Methods
(7)
Learning Types Β· Deep Learning
(7)
Resources & Methods
(6)
Learning Paradigms
(5)
Models
(5)
Keywords
dialogue system
(7)
dialogue state tracking
(4)
language model
(4)
large language model
(4)
retrieval-augmented generation
(3)
user satisfaction
(3)
knowledge tracing
(2)
benchmark evaluation
(2)
recommender system
(2)
temporal modeling
(2)
knowledge graph
(2)
pseudo labeling
(2)
event sequence
(2)
hawkes process
(2)
knowledge distillation
(2)
natural language processing
(2)
uncertainty quantification
(2)
text generation
(2)
data augmentation
(2)
pre-trained language model
(2)
Papers
Mitigating Context Interference for Reliable and Efficient Search Agents
ACL 2026
Adaptive Retrieval-Augmented Generation for Conversational Systems
NAACL 2025
A Joint Optimization Framework for Enhancing Efficiency of Tool Utilization in LLM Agents
ACL 2025
Error Detection in Medical Note through Multi Agent Debate
ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 2025
Machine-generated text detection prevents language model collapse
EMNLP 2025
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
ACL 2025
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
Benchmarking LLMs via Uncertainty Quantification
NeurIPS 2024
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
EACL 2024
Instruction Tuning With Loss Over Instructions
NeurIPS 2024
A Survey on Asking Clarification Questions Datasets in Conversational Systems
ACL 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
EMNLP 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
EMNLP 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
ACL 2023
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract)
AAAI 2023
Rethinking Semi-supervised Learning with Language Models
ACL 2023
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
ACL 2023
Task2KB: A Public Task-Oriented Knowledge Base
AAAI 2023
ASSIST: Towards Label Noise-Robust Dialogue State Tracking
ACL 2022
Dynamic Schema Graph Fusion Network for Multi-Domain Dialogue State Tracking
ACL 2022
MetaASSIST: Robust Dialogue State Tracking with Meta Learning
EMNLP 2022
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
ICLR 2022
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
EMNLP 2021
Variational Continual Bayesian Meta-Learning
NeurIPS 2021
Self-Attentive Hawkes Process
ICML 2020
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)
AAAI 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
AAAI 2020
Uncertainty and Traffic-Aware Active Learning for Semantic Parsing
EMNLP 2020
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling
EMNLP 2020
Towards Task Understanding in Visual Settings
AAAI 2019
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks
NAACL 2016