Emine Yilmaz
32 papers · 2016–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11) π Conference Polyglot (8)
π§
Keyword Pioneer
π
Cross-Pollinator
(13)
π
Academic Marathon
(9)
π
Grand Slam
π
Keyword Champion
(3)
π₯
Unstoppable
(7)
π
Century Club
(31)
π
Conference Pioneer
ποΈ
Keyword Collector
(152)
β‘
Prolific Year
(8)
Conferences
ACL (11)
EMNLP (7)
AAAI (6)
NIPS (3)
NAACL (2)
EACL (1)
ICLR (1)
ICML (1)
Top co-authors
Research topics
Keywords
dialogue system
(7)
language model
(4)
large language model
(4)
dialogue state tracking
(4)
user satisfaction
(3)
retrieval-augmented generation
(3)
hawkes process
(2)
event sequence
(2)
conversational system
(2)
temporal modeling
(2)
benchmark evaluation
(2)
recommender system
(2)
pre-trained language model
(2)
knowledge tracing
(2)
uncertainty quantification
(2)
data augmentation
(2)
natural language processing
(2)
pseudo labeling
(2)
text generation
(2)
knowledge graph
(2)
Papers
Mitigating Context Interference for Reliable and Efficient Search Agents
ACL 2026
PersonaLens: A Benchmark for Personalization Evaluation in Conversational AI Assistants
ACL 2025
EventRAG: Enhancing LLM Generation with Event Knowledge Graphs
ACL 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
Machine-generated text detection prevents language model collapse
EMNLP 2025
Adaptive Retrieval-Augmented Generation for Conversational Systems
NAACL 2025
Instruction Tuning With Loss Over Instructions
NIPS 2024
Benchmarking LLMs via Uncertainty Quantification
NIPS 2024
A Toolbox for Modelling Engagement with Educational Videos
AAAI 2024
Clarifying the Path to User Satisfaction: An Investigation into Clarification Usefulness
EACL 2024
Rethinking Semi-supervised Learning with Language Models
ACL 2023
Pre-training with Scientific Text Improves Educational Question Generation (Student Abstract)
AAAI 2023
Schema-Guided User Satisfaction Modeling for Task-Oriented Dialogues
ACL 2023
A Survey on Asking Clarification Questions Datasets in Conversational Systems
ACL 2023
Modeling User Satisfaction Dynamics in Dialogue via Hawkes Process
ACL 2023
Improving Conversational Recommendation Systems via Bias Analysis and Language-Model-Enhanced Data Augmentation
EMNLP 2023
Enhancing Conversational Search: Large Language Model-Aided Informative Query Rewriting
EMNLP 2023
Task2KB: A Public Task-Oriented Knowledge Base
AAAI 2023
Trans-Encoder: Unsupervised sentence-pair modelling through self- and mutual-distillations
ICLR 2022
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
Variational Continual Bayesian Meta-Learning
NIPS 2021
Improving Dialogue State Tracking with Turn-based Loss Function and Sequential Data Augmentation
EMNLP 2021
Towards an Integrative Educational Recommender for Lifelong Learners (Student Abstract)
AAAI 2020
Unsupervised Few-Bits Semantic Hashing with Implicit Topics Modeling
EMNLP 2020
Uncertainty and Traffic-Aware Active Learning for Semantic Parsing
EMNLP 2020
TrueLearn: A Family of Bayesian Algorithms to Match Lifelong Learners to Open Educational Resources
AAAI 2020
Self-Attentive Hawkes Process
ICML 2020
Towards Task Understanding in Visual Settings
AAAI 2019
Deconstructing Complex Search Tasks: a Bayesian Nonparametric Approach for Extracting Sub-tasks
NAACL 2016