Yashar Mehdad
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
56
Venues
16
Active years
2009–2025
Best venue rank
A*
Where they publish
Papers
56 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | COLING | LLM-Friendly Knowledge Representation for Customer Support. | Hanchen Su, Wei Luo, Yashar Mehdad, Wei Han, Elaine Liu, Wayne Zhang, Mia Zhao, Joy Zhang |
| 2025 | EMNLP | Incremental Summarization for Customer Support via Progressive Note-Taking and Agent Feedback. | Yisha Wu, Cen Mia Zhao, Yuanpei Cao, Xiaoqing Xu, Yashar Mehdad, Mindy Ji, Claire Na Cheng |
| 2025 | EMNLP | Agent-in-the-Loop: A Data Flywheel for Continuous Improvement in LLM-based Customer Support. | Cen Mia Zhao, Tiantian Zhang, Hanchen Su, Yufeng Wayne Zhang, Shaowei Su, Mingzhi Xu, Yu Liu, Wei Han, Jeremy Werner, Claire Na Cheng, Yashar Mehdad |
| 2024 | ACL | LLM-QAT: Data-Free Quantization Aware Training for Large Language Models. | Zechun Liu, Barlas Oguz, Changsheng Zhao, Ernie Chang, Pierre Stock, Yashar Mehdad, Yangyang Shi, Raghuraman Krishnamoorthi, Vikas Chandra |
| 2024 | ICASSP | Attention or Convolution: Transformer Encoders in Audio Language Models for Inference Efficiency. | Sungho Jeon, Ching-Feng Yeh, Hakan Inan, Wei-Ning Hsu, Rashi Rungta, Yashar Mehdad, Daniel Bikel |
| 2024 | NAACL | Effective Long-Context Scaling of Foundation Models. | Wenhan Xiong, Jingyu Liu, Igor Molybog, Hejia Zhang, Prajjwal Bhargava, Rui Hou, Louis Martin, Rashi Rungta, Karthik Abinav Sankararaman, Barlas Oguz, Madian Khabsa, Han Fang, Yashar Mehdad, Sharan Narang, Kshitiz Malik, Angela Fan, Shruti Bhosale, Sergey Edunov, Mike Lewis, Sinong Wang, Hao Ma |
| 2023 | ACL | CITADEL: Conditional Token Interaction via Dynamic Lexical Routing for Efficient and Effective Multi-Vector Retrieval. | Minghan Li, Sheng-Chieh Lin, Barlas Oguz, Asish Ghoshal, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen |
| 2023 | CVPR | Hierarchical Video-Moment Retrieval and Step-Captioning. | Abhay Zala, Jaemin Cho, Satwik Kottur, Xilun Chen, Barlas Oguz, Yashar Mehdad, Mohit Bansal |
| 2023 | EMNLP | How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. | Sheng-Chieh Lin, Akari Asai, Minghan Li, Barlas Oguz, Jimmy Lin, Yashar Mehdad, Wen-tau Yih, Xilun Chen |
| 2023 | EMNLP | Adapting Pretrained Text-to-Text Models for Long Text Sequences. | Wenhan Xiong, Anchit Gupta, Shubham Toshniwal, Yashar Mehdad, Scott Yih |
| 2022 | EMNLP | Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? | Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih |
| 2022 | EMNLP | Bridging the Training-Inference Gap for Dense Phrase Retrieval. | Gyuwan Kim, Jinhyuk Lee, Barlas Oguz, Wenhan Xiong, Yizhe Zhang, Yashar Mehdad, William Yang Wang |
| 2022 | EMNLP | STRUDEL: Structured Dialogue Summarization for Dialogue Comprehension. | Borui Wang, Chengcheng Feng, Arjun Nair, Madelyn Mao, Jai Desai, Asli Celikyilmaz, Haoran Li, Yashar Mehdad, Dragomir Radev |
| 2022 | NAACL | UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. | Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Scott Yih |
| 2022 | NAACL | Domain-matched Pre-training Tasks for Dense Retrieval. | Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad |
| 2022 | NAACL | Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries. | Xiangru Tang, Alexander R. Fabbri, Haoran Li, Ziming Mao, Griffin Adams, Borui Wang, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev |
| 2022 | NAACL | CONFIT: Toward Faithful Dialogue Summarization with Linguistically-Informed Contrastive Fine-tuning. | Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, Dragomir R. Radev |
| 2022 | NAACL | Simple Local Attentions Remain Competitive for Long-Context Tasks. | Wenhan Xiong, Barlas Oguz, Anchit Gupta, Xilun Chen, Diana Liskovich, Omer Levy, Scott Yih, Yashar Mehdad |
| 2022 | SIGIR | QUASER: Question Answering with Scalable Extractive Rationalization. | Asish Ghoshal, Srinivasan Iyer, Bhargavi Paranjape, Kushal Lakhotia, Scott Wen-tau Yih, Yashar Mehdad |
| 2021 | ACL | Syntax-augmented Multilingual BERT for Cross-lingual Transfer. | Wasi Uddin Ahmad, Haoran Li, Kai-Wei Chang, Yashar Mehdad |
| 2021 | ACL | ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining. | Alexander R. Fabbri, Faiaz Rahman, Imad Rizvi, Borui Wang, Haoran Li, Yashar Mehdad, Dragomir R. Radev |
| 2021 | ACL | Do Explanations Help Users Detect Errors in Open-Domain QA? An Evaluation of Spoken vs. Visual Explanations. | Ana Valeria Gonzalez, Gagan Bansal, Angela Fan, Yashar Mehdad, Robin Jia, Srinivasan Iyer |
| 2021 | AISTATS | Towards Understanding the Behaviors of Optimal Deep Active Learning Algorithms. | Yilun Zhou, Adithya Renduchintala, Xian Li, Sida Wang, Yashar Mehdad, Asish Ghoshal |
| 2021 | EACL | MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark. | Haoran Li, Abhinav Arora, Shuohui Chen, Anchit Gupta, Sonal Gupta, Yashar Mehdad |
| 2021 | EMNLP | FiD-Ex: Improving Sequence-to-Sequence Models for Extractive Rationale Generation. | Kushal Lakhotia, Bhargavi Paranjape, Asish Ghoshal, Scott Yih, Yashar Mehdad, Srini Iyer |
| 2021 | ICLR | Learning Better Structured Representations Using Low-rank Adaptive Label Smoothing. | Asish Ghoshal, Xilun Chen, Sonal Gupta, Luke Zettlemoyer, Yashar Mehdad |
| 2021 | ICLR | Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. | Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz |
| 2021 | NAACL | Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation. | Alexander R. Fabbri, Simeng Han, Haoyuan Li, Haoran Li, Marjan Ghazvininejad, Shafiq R. Joty, Dragomir R. Radev, Yashar Mehdad |
| 2021 | NAACL | RECONSIDER: Improved Re-Ranking using Span-Focused Cross-Attention for Open Domain Question Answering. | Srinivasan Iyer, Sewon Min, Yashar Mehdad, Wen-tau Yih |
| 2020 | EMNLP | Conversational Semantic Parsing. | Armen Aghajanyan, Jean Maillard, Akshat Shrivastava, Keith Diedrick, Michael Haeger, Haoran Li, Yashar Mehdad, Veselin Stoyanov, Anuj Kumar, Mike Lewis, Sonal Gupta |
| 2020 | EMNLP | Low-Resource Domain Adaptation for Compositional Task-Oriented Semantic Parsing. | Xilun Chen, Asish Ghoshal, Yashar Mehdad, Luke Zettlemoyer, Sonal Gupta |
| 2020 | EMNLP | Efficient One-Pass End-to-End Entity Linking for Questions. | Belinda Z. Li, Sewon Min, Srinivasan Iyer, Yashar Mehdad, Wen-tau Yih |
| 2017 | FlAIRS | Online Article Ranking as a Constrained, Dynamic, Multi-Objective Optimization Problem. | Jeya Balaji Balasubramanian, Akshay Soni, Yashar Mehdad, Nikolay Laptev |
| 2017 | FlAIRS | RIPML: A Restricted Isometry Property-Based Approach to Multilabel Learning. | Akshay Soni, Yashar Mehdad |
| 2017 | WSDM | Lightweight Multilingual Entity Extraction and Linking. | Aasish Pappu, Roi Blanco, Yashar Mehdad, Amanda Stent, Kapil Thadani |
| 2016 | LREC | Extractive Summarization under Strict Length Constraints. | Yashar Mehdad, Amanda Stent, Kapil Thadani, Dragomir R. Radev, Youssef Billawala, Karolina Buchner |
| 2016 | NAACL | A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization. | William Yang Wang, Yashar Mehdad, Dragomir R. Radev, Amanda Stent |
| 2016 | WWW | Abusive Language Detection in Online User Content. | Chikashi Nobata, Joel R. Tetreault, Achint Thomas, Yashar Mehdad, Yi Chang |
| 2016 | SIGdial | Do Characters Abuse More Than Words? | Yashar Mehdad, Joel R. Tetreault |
| 2014 | ACL | Abstractive Summarization of Spoken and Written Conversations Based on Phrasal Queries. | Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng |
| 2014 | EMNLP | Abstractive Summarization of Product Reviews Using Discourse Structure. | Shima Gerani, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Bita Nejat |
| 2014 | INLG | A Template-based Abstractive Meeting Summarization: Leveraging Summary and Source Text Relationships. | Tatsuro Oya, Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng |
| 2013 | ACL | Combining Intra- and Multi-sentential Rhetorical Parsing for Document-level Discourse Analysis. | Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng, Yashar Mehdad |
| 2013 | NAACL | Towards Topic Labeling with Phrase Entailment and Aggregation. | Yashar Mehdad, Giuseppe Carenini, Raymond T. Ng, Shafiq R. Joty |
| 2013 | SIGdial | Dialogue Act Recognition in Synchronous and Asynchronous Conversations. | Maryam Tavafi, Yashar Mehdad, Shafiq R. Joty, Giuseppe Carenini, Raymond T. Ng |
| 2012 | ACL | Detecting Semantic Equivalence and Information Disparity in Cross-lingual Documents. | Yashar Mehdad, Matteo Negri, Marcello Federico |
| 2012 | LREC | Chinese Whispers: Cooperative Paraphrase Acquisition. | Matteo Negri, Yashar Mehdad, Alessandro Marchetti, Danilo Giampiccolo, Luisa Bentivogli |
| 2011 | ACL | Using Bilingual Parallel Corpora for Cross-Lingual Textual Entailment. | Yashar Mehdad, Matteo Negri, Marcello Federico |
| 2011 | EMNLP | Is it Worth Submitting this Run? Assess your RTE System with a Good Sparring Partner. | Milen Kouylekov, Yashar Mehdad, Matteo Negri |
| 2011 | EMNLP | Divide and Conquer: Crowdsourcing the Creation of Cross-Lingual Textual Entailment Corpora. | Matteo Negri, Luisa Bentivogli, Yashar Mehdad, Danilo Giampiccolo, Alessandro Marchetti |
| 2010 | LREC | Mining Wikipedia for Large-scale Repositories of Context-Sensitive Entailment Rules. | Milen Kouylekov, Yashar Mehdad, Matteo Negri |
| 2010 | NAACL | Syntactic/Semantic Structures for Textual Entailment Recognition. | Yashar Mehdad, Alessandro Moschitti, Fabio Massimo Zanzotto |
| 2010 | NAACL | Towards Cross-Lingual Textual Entailment. | Yashar Mehdad, Matteo Negri, Marcello Federico |
| 2010 | NAACL | Creating a Bi-lingual Entailment Corpus through Translations with Mechanical Turk: $100 for a 10-day Rush. | Matteo Negri, Yashar Mehdad |
| 2009 | ACL | Automatic Cost Estimation for Tree Edit Distance Using Particle Swarm Optimization. | Yashar Mehdad |
| 2009 | ACL | Optimizing Textual Entailment Recognition Using Particle Swarm Optimization. | Yashar Mehdad, Bernardo Magnini |