← Authors

Asli Celikyilmaz

76 papers · 2009–2025 · 12 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (16) πŸ—ΊοΈ Taxonomy Completionist (12) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (20) πŸ† Grand Slam 🀝 Dynamic Duo (18) πŸ‘₯ Mega-Team (23) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (4) πŸ—ƒοΈ Keyword Collector (244) πŸ’Ž Century Club (76) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (10) ⚑ Prolific Year (10) πŸš€ Conference Pioneer

Conferences

ACL (20) EMNLP (20) NAACL (14) IJCNLP (5) EACL (4) ICLR (3) AAAI (2) COLING (2) ICML (2) INTERSPEECH (2) CVPR (1) NIPS (1)

Top co-authors

Jianfeng Gao (18) Yejin Choi (11) Dilek Hakkani-Tur (10) Antoine Bosselut (8) Mohit Bansal (8) Ramakanth Pasunuru (7) Tianlu Wang (6) Rahul Jha (5) Dragomir Radev (5) Xiujun Li (4)

Keywords

large language model (11) reinforcement learning (10) abstractive summarization (9) text generation (7) multi-step reasoning (4) language model (4) transfer learning (4) dialogue summarization (3) few-shot learning (3) hierarchical model (3) semi-supervised learning (3) question answering (3) pre-trained language model (3) vision-language navigation (3) factual consistency (3) question generation (2) hierarchical reinforcement learning (2) multimodal learning (2) multi-task learning (2) contrastive learning (2)

Papers

reWordBench: Benchmarking and Improving the Robustness of Reward Models with Transformed Inputs EMNLP 2025
Efficient Tool Use with Chain-of-Abstraction Reasoning COLING 2025
Explore Theory of Mind: program-guided adversarial data generation for theory of mind reasoning ICLR 2025
RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models NAACL 2024
Open-Domain Text Evaluation via Contrastive Distribution Methods ICML 2024
RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment ICLR 2024
Chain-of-Verification Reduces Hallucination in Large Language Models ACL 2024
ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization ACL 2024
Branch-Solve-Merge Improves Large Language Model Evaluation and Generation NAACL 2024
The ART of LLM Refinement: Ask, Refine, and Trust NAACL 2024
RECKONING: Reasoning through Dynamic Knowledge Encoding NIPS 2023
ALERT: Adapt Language Models to Reasoning Tasks ACL 2023
Understanding In-Context Learning via Supportive Pretraining Data ACL 2023
Complementary Explanations for Effective In-Context Learning ACL 2023
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation ACL 2023
OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models ACL 2023
Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models EACL 2023
Look-back Decoding for Open-Ended Text Generation EMNLP 2023
Gender Biases in Automatic Evaluation Metrics for Image Captioning EMNLP 2023
Crystal: Introspective Reasoners Reinforced with Self-Feedback EMNLP 2023
Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks EMNLP 2023
ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning ICLR 2023
Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries NAACL 2022
ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection EMNLP 2022
Discourse-Aware Soft Prompting for Text Generation EMNLP 2022
STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension EMNLP 2022
Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics EMNLP 2022
CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning NAACL 2022
Discourse Understanding and Factual Consistency in Abstractive Summarization EACL 2021
QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization NAACL 2021
EmailSum: Abstractive Email Thread Summarization ACL 2021
EmailSum: Abstractive Email Thread Summarization IJCNLP 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization ACL 2021
An Exploratory Study on Long Dialogue Summarization: What Works and What’s Next EMNLP 2021
Data Augmentation for Abstractive Query-Focused Multi-Document Summarization AAAI 2021
Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization NAACL 2021
Contrastive Multi-document Question Generation EACL 2021
AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization EACL 2021
GO FIGURE: A Meta Evaluation of Factuality in Summarization IJCNLP 2021
A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks ACL 2020
RMM: A Recursive Mental Model for Dialogue Navigation EMNLP 2020
Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization EMNLP 2020
Working Memory Graphs ICML 2020
PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking EMNLP 2020
Substance over Style: Document-Level Targeted Content Transfer EMNLP 2020
The Amazing World of Neural Language Generation EMNLP 2020
Robust Navigation with Language Pretraining and Stochastic Sampling EMNLP 2019
Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation CVPR 2019
Learning Compressed Sentence Representations for On-Device Text Processing ACL 2019
Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation AAAI 2019
Robust Navigation with Language Pretraining and Stochastic Sampling IJCNLP 2019
Sentence Mover’s Similarity: Automatic Evaluation for Multi-Sentence Texts ACL 2019
COMET: Commonsense Transformers for Automatic Knowledge Graph Construction ACL 2019
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation NAACL 2019
Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing NAACL 2019
Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models ACL 2019
Deep Learning for Dialogue Systems COLING 2018
Deep Communicating Agents for Abstractive Summarization NAACL 2018
Discourse-Aware Neural Rewards for Coherent Text Generation NAACL 2018
End-to-End Task-Completion Neural Dialogue Systems IJCNLP 2017
Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning EMNLP 2017
Deep Learning for Dialogue Systems ACL 2017
A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding INTERSPEECH 2016
Task Completion Platform: A self-serve multi-domain goal oriented dialogue platform NAACL 2016
Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM INTERSPEECH 2016
Resolving Referring Expressions in Conversational Dialogs for Natural User Interfaces EMNLP 2014
Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression ACL 2013
Learning to Relate Literal and Sentimental Descriptions of Visual Properties NAACL 2013
Mining Search Query Logs for Spoken Language Understanding NAACL 2012
A Joint Model for Discovery of Aspects in Utterances ACL 2012
Discovery of Topically Coherent Sentences for Extractive Summarization ACL 2011
A Hybrid Hierarchical Model for Multi-Document Summarization ACL 2010
Accurate Semantic Class Classifier for Coreference Resolution EMNLP 2009
A Graph-based Semi-Supervised Learning for Question-Answering IJCNLP 2009
A Graph-based Semi-Supervised Learning for Question-Answering ACL 2009
Investigation of Question Classifier in Question Answering EMNLP 2009