Asli Celikyilmaz

Affiliations:
  • Meta AI
  • Microsoft Research, Redmond, WA, USA (former)


According to our database1, Asli Celikyilmaz authored at least 150 papers between 2007 and 2024.

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Bibliography

2024
An Introduction to Vision-Language Modeling.
CoRR, 2024

Towards Safety and Helpfulness Balanced Responses via Controllable Large Language Models.
CoRR, 2024

Efficient Tool Use with Chain-of-Abstraction Reasoning.
CoRR, 2024

The ART of LLM Refinement: Ask, Refine, and Trust.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

RESPROMPT: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Open-Domain Text Evaluation via Contrastive Distribution Methods.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

ACUEval: Fine-grained Hallucination Evaluation and Correction for Abstractive Summarization.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Chain-of-Verification Reduces Hallucination in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Augmented Language Models: a Survey.
Trans. Mach. Learn. Res., 2023

How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN.
Trans. Assoc. Comput. Linguistics, 2023

PathFinder: Guided Search over Multi-Step Reasoning Paths.
CoRR, 2023

Walking Down the Memory Maze: Beyond Context Limit through Interactive Reading.
CoRR, 2023

DOMINO: A Dual-System for Multi-step Visual Language Reasoning.
CoRR, 2023

Making PPO even better: Value-Guided Monte-Carlo Tree Search decoding.
CoRR, 2023

Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning.
CoRR, 2023

Shepherd: A Critic for Language Model Generation.
CoRR, 2023

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment.
CoRR, 2023

Open-Domain Text Evaluation via Meta Distribution Modeling.
CoRR, 2023

Gender Biases in Automatic Evaluation Metrics: A Case Study on Image Captioning.
CoRR, 2023

OPT-R: Exploring the Role of Explanations in Finetuning and Prompting for Reasoning Skills of Large Language Models.
CoRR, 2023

Large Language Model Programs.
CoRR, 2023

RECKONING: Reasoning through Dynamic Knowledge Encoding.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ROSCOE: A Suite of Metrics for Scoring Step-by-Step Reasoning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Look-back Decoding for Open-Ended Text Generation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Gender Biases in Automatic Evaluation Metrics for Image Captioning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Sub-network Discovery and Soft-masking for Continual Learning of Mixed Tasks.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Crystal: Introspective Reasoners Reinforced with Self-Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Methods for Measuring, Updating, and Visualizing Factual Beliefs in Language Models.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

ALERT: Adapt Language Models to Reasoning Tasks.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Complementary Explanations for Effective In-Context Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Understanding In-Context Learning via Supportive Pretraining Data.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization.
CoRR, 2022

Improving Faithfulness of Abstractive Summarization by Controlling Confounding Effect of Irrelevant Sentences.
CoRR, 2022

ALERT: Adapting Language Models to Reasoning Tasks.
CoRR, 2022

ED-FAITH: Evaluating Dialogue Summarization on Faithfulness.
CoRR, 2022

Structural Biases for Improving Transformers on Translation into Morphologically Rich Languages.
CoRR, 2022

A Review on Language Models as Knowledge Bases.
CoRR, 2022

CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Discourse-Aware Soft Prompting for Text Generation.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Vision-Language Navigation Policy Learning and Adaptation.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

CheckDST: Measuring Real-World Generalization of Dialogue State Tracking Performance.
CoRR, 2021

Discourse-Aware Prompt Design for Text Generation.
CoRR, 2021

Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs.
CoRR, 2021

QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Enriching Transformers with Structured Tensor-Product Representations for Abstractive Summarization.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

An Exploratory Study on Long Dialogue Summarization: What Works and What's Next.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Discourse Understanding and Factual Consistency in Abstractive Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

Contrastive Multi-document Question Generation.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

AREDSUM: Adaptive Redundancy-Aware Iterative Sentence Ranking for Extractive Document Summarization.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

EmailSum: Abstractive Email Thread Summarization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

GO FIGURE: A Meta Evaluation of Factuality in Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Data Augmentation for Abstractive Query-Focused Multi-Document Summarization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Neuro-Symbolic Representations for Video Captioning: A Case for Leveraging Inductive Biases for Vision and Language.
CoRR, 2020

Evaluation of Text Generation: A Survey.
CoRR, 2020

Reparameterized Variational Divergence Minimization for Stable Imitation.
CoRR, 2020

Working Memory Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

Artemis: A Novel Annotation Methodology for Indicative Single Document Summarization.
Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

RMM: A Recursive Mental Model for Dialog Navigation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

PlotMachines: Outline-Conditioned Generation with Dynamic Plot State Tracking.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

The Amazing World of Neural Language Generation.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts, 2020

Substance over Style: Document-Level Targeted Content Transfer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Quality and Relevance Metrics for Selection of Multimodal Pretraining Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

A Recipe for Creating Multimodal Aligned Datasets for Sequential Tasks.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Unsupervised Common Question Generation from Multiple Documents using Reinforced Contrastive Coordinator.
CoRR, 2019

Cooperative Generator-Discriminator Networks for Abstractive Summarization with Narrative Flow.
CoRR, 2019

Efficient Adaptation of Pretrained Transformers for Abstractive Summarization.
CoRR, 2019

Cyclical Annealing Schedule: A Simple Approach to Mitigating KL Vanishing.
Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Robust Navigation with Language Pretraining and Stochastic Sampling.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Towards Generating Long and Coherent Text with Multi-Level Latent Variable Models.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Learning Compressed Sentence Representations for On-Device Text Processing.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Sentence Mover's Similarity: Automatic Evaluation for Multi-Sentence Texts.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

COMET: Commonsense Transformers for Automatic Knowledge Graph Construction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Hierarchically Structured Reinforcement Learning for Topically Coherent Visual Story Generation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Learning and analyzing vector encoding of symbolic representations.
CoRR, 2018

Deep Communicating Agents for Abstractive Summarization.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Discourse-Aware Neural Rewards for Coherent Text Generation.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Learning and Analyzing Vector Encoding of Symbolic Representation.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Learning for Dialogue Systems.
Proceedings of the COLING 2018, 2018

2017
Spoken language understanding and interaction: machine learning for human-like conversational systems.
Comput. Speech Lang., 2017

Composite Task-Completion Dialogue System via Hierarchical Deep Reinforcement Learning.
CoRR, 2017

Investigation of Language Understanding Impact for Reinforcement Learning Based Dialogue Systems.
CoRR, 2017

Scaffolding Networks for Teaching and Learning to Comprehend.
CoRR, 2017

End-to-End Task-Completion Neural Dialogue Systems.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

Composite Task-Completion Dialogue Policy Learning via Hierarchical Deep Reinforcement Learning.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016
An Empirical Investigation of Word Class-Based Features for Natural Language Understanding.
IEEE ACM Trans. Audio Speech Lang. Process., 2016

Knowledge as a Teacher: Knowledge-Guided Structural Attention Networks.
CoRR, 2016

Associative Adversarial Networks.
CoRR, 2016

An overview of end-to-end language understanding and dialog management for personal digital assistants.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Intent detection using semantically enriched word embeddings.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016

Syntax or semantics? knowledge-guided joint semantic frame parsing.
Proceedings of the 2016 IEEE Spoken Language Technology Workshop, 2016


Multi-Domain Joint Semantic Frame Parsing Using Bi-Directional RNN-LSTM.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

A New Pre-Training Method for Training Deep Learning Models with Application to Spoken Language Understanding.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

2015
Investigation of ensemble models for sequence learning.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Natural language understanding for partial queries.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

A universal model for flexible item selection in conversational dialogs.
Proceedings of the 2015 IEEE Workshop on Automatic Speech Recognition and Understanding, 2015

Enriching Word Embeddings Using Knowledge Graph for Semantic Tagging in Conversational Dialog Systems.
Proceedings of the 2015 AAAI Spring Symposia, 2015

2014
Shrinkage based features for slot tagging with conditional random fields.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Probabilistic enrichment of knowledge graph entities for relation detection in conversational understanding.
Proceedings of the 15th Annual Conference of the International Speech Communication Association, 2014

Eye Gaze for Spoken Language Understanding in Multi-modal Conversational Interactions.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

A variational Bayesian model for user intent detection.
Proceedings of the IEEE International Conference on Acoustics, 2014

Resolving Referring Expressions in Conversational Dialogs for Natural User Interfaces.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013
Learning to Relate Literal and Sentimental Descriptions of Visual Properties.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

A weakly-supervised approach for discovering new user intents from search query logs.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

IsNL? a discriminative approach to detect natural language like queries for conversational understanding.
Proceedings of the 14th Annual Conference of the International Speech Communication Association, 2013

Latent semantic modeling for slot filling in conversational understanding.
Proceedings of the IEEE International Conference on Acoustics, 2013

Easy contextual intent prediction and slot detection.
Proceedings of the IEEE International Conference on Acoustics, 2013

Semi-Supervised Semantic Tagging of Conversational Understanding using Markov Topic Regression.
Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics, 2013

2012
Statistical semantic interpretation modeling for spoken language understanding with enriched semantic features.
Proceedings of the 2012 IEEE Spoken Language Technology Workshop (SLT), 2012

Mining Search Query Logs for Spoken Language Understanding.
Proceedings of the Workshop on Future directions and needs in the Spoken Dialog Community: Tools and Data, 2012

A Discriminative Classification-Based Approach to Information State Updates for a Multi-Domain Dialog System.
Proceedings of the 13th Annual Conference of the International Speech Communication Association, 2012

A Joint Model for Discovery of Aspects in Utterances.
Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Conference, July 8-14, 2012, Jeju Island, Korea, 2012

2011
Towards Unsupervised Spoken Language Understanding: Exploiting Query Click Logs for Slot Filling.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Learning Weighted Entity Lists from Web Click Logs for Spoken Language Understanding.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Approximate Inference for Domain Detection in Spoken Language Understanding.
Proceedings of the 12th Annual Conference of the International Speech Communication Association, 2011

Concept-based classification for multi-document summarization.
Proceedings of the IEEE International Conference on Acoustics, 2011

Employing web search query click logs for multi-domain spoken language understanding.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Exploiting distance based similarity in topic models for user intent detection.
Proceedings of the 2011 IEEE Workshop on Automatic Speech Recognition & Understanding, 2011

Discovery of Topically Coherent Sentences for Extractive Summarization.
Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, 2011

2010
Decision making with imprecise parameters.
Int. J. Approx. Reason., 2010

Probabilistic model-based sentiment analysis of twitter messages.
Proceedings of the 2010 IEEE Spoken Language Technology Workshop, 2010

Extractive summarization using a latent variable model.
Proceedings of the 11th Annual Conference of the International Speech Communication Association, 2010

A Hybrid Hierarchical Model for Multi-Document Summarization.
Proceedings of the ACL 2010, 2010

2009
A Genetic Fuzzy System Based On Improved Fuzzy Functions.
J. Comput., 2009

A Soft-Link Spectral Model for Link Prediction.
Int. J. Semantic Comput., 2009

Increasing accuracy of two-class pattern recognition with enhanced fuzzy functions.
Expert Syst. Appl., 2009

Soft-Link Spectral Clustering for Information Extraction.
Proceedings of the 3rd IEEE International Conference on Semantic Computing (ICSC 2009), 2009

Spectral Learning with Type-2 Fuzzy Numbers for Question/Answering System.
Proceedings of the Joint 2009 International Fuzzy Systems Association World Congress and 2009 European Society of Fuzzy Logic and Technology Conference, 2009

Accurate Semantic Class Classifier for Coreference Resolution.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

Investigation of Question Classifier in Question Answering.
Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing, 2009

A Graph-based Semi-Supervised Learning for Question-Answering.
Proceedings of the ACL 2009, 2009

Modeling Uncertainty with Fuzzy Logic - With Recent Theory and Applications
Studies in Fuzziness and Soft Computing 240, Springer, ISBN: 978-3-540-89923-5, 2009

2008
Uncertainty Modeling of Improved Fuzzy Functions With Evolutionary Systems.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Enhanced Fuzzy System Models With Improved Fuzzy Clustering Algorithm.
IEEE Trans. Fuzzy Syst., 2008

Validation criteria for enhanced fuzzy clustering.
Pattern Recognit. Lett., 2008

Uncertainty bounds of Fuzzy C-Regression Method.
Proceedings of the FUZZ-IEEE 2008, 2008

Semantic approach to text entailment for question answering - new domain for uncertainty modeling.
Proceedings of the Seventh IEEE International Conference on Cognitive Informatics, 2008

2007
New Cluster Validity Index with Fuzzy Functions.
Proceedings of the Analysis and Design of Intelligent Systems using Soft Computing Techniques, 2007

Fuzzy functions with support vector machines.
Inf. Sci., 2007

Evolutionary fuzzy system models with improved fuzzy functions and its application to industrial process.
Proceedings of the IEEE International Conference on Systems, 2007

A New Classifier Design with Fuzzy Functions.
Proceedings of the Rough Sets, 2007

Evolution of Fuzzy System Models: An Overview and New Directions.
Proceedings of the Rough Sets, 2007


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